From 7c5a270346ff674408445b3804007c2232dafe5a Mon Sep 17 00:00:00 2001 From: wx-star Date: Wed, 4 May 2022 03:08:07 -0400 Subject: [PATCH] Initial commit --- .gitignore | 137 +++++++ LICENSE.txt | 674 +++++++++++++++++++++++++++++++ README.md | 165 ++++++++ example-images/abi-small.jpg | Bin 0 -> 157869 bytes example-images/iremis-small.jpg | Bin 0 -> 145350 bytes example-images/rgb-cog-small.jpg | Bin 0 -> 182363 bytes example-images/rgb-small.jpg | Bin 0 -> 261874 bytes example-images/suvi-small.jpg | Bin 0 -> 101151 bytes example-images/water-small.jpg | Bin 0 -> 88178 bytes heregoes-env.yml | 24 ++ heregoes/__init__.py | 111 +++++ heregoes/abi.py | 85 ++++ heregoes/ancillary.py | 333 +++++++++++++++ heregoes/coefficients.py | 123 ++++++ heregoes/image.py | 332 +++++++++++++++ heregoes/meta.py | 214 ++++++++++ heregoes/navigation.py | 362 +++++++++++++++++ heregoes/orbital.py | 231 +++++++++++ heregoes/projection.py | 277 +++++++++++++ heregoes/suvi.py | 45 +++ heregoes/util.py | 227 +++++++++++ test/heregoes_test.py | 323 +++++++++++++++ 22 files changed, 3663 insertions(+) create mode 100644 .gitignore create mode 100644 LICENSE.txt create mode 100644 README.md create mode 100644 example-images/abi-small.jpg create mode 100644 example-images/iremis-small.jpg create mode 100644 example-images/rgb-cog-small.jpg create mode 100644 example-images/rgb-small.jpg create mode 100644 example-images/suvi-small.jpg create mode 100644 example-images/water-small.jpg create mode 100644 heregoes-env.yml create mode 100755 heregoes/__init__.py create mode 100755 heregoes/abi.py create mode 100755 heregoes/ancillary.py create mode 100755 heregoes/coefficients.py create mode 100755 heregoes/image.py create mode 100755 heregoes/meta.py create mode 100755 heregoes/navigation.py create mode 100755 heregoes/orbital.py create mode 100755 heregoes/projection.py create mode 100755 heregoes/suvi.py create mode 100755 heregoes/util.py create mode 100755 test/heregoes_test.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..41f3410 --- /dev/null +++ b/.gitignore @@ -0,0 +1,137 @@ +*.npz +*.xml + +.hg_parallel +test/input/ +test/output/ + +# Byte-compiled / optimized / DLL files +__pycache__/ +__numba_cache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +.python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..324b8cb --- /dev/null +++ b/README.md @@ -0,0 +1,165 @@ +# heregoes + +

+License: GPL-3.0 +Code style: black +

+ +This is the core processing library used by [Here GOES Radiotelescope (2020)](https://heregoesradio.com/), a sculptural ground station for the GRB downlink of the NOAA weather satellite GOES-16. The library renders basic ABI and SUVI imagery, and offers some useful functions for navigating and projecting ABI data. Some additional convenience functions for working with 2D NumPy arrays are provided in [util.py](heregoes/util.py). To optimize for the real-time processing needs of Here GOES Radiotelescope, array functions are accelerated using [Numba](https://numba.pydata.org/) with parallelism controlled by environmental variables. + +

+ + + + + + +

+ +--- + +## Setup + +Clone this repository and install the Conda environment: +``` +conda env create -f heregoes-env.yml +conda activate heregoes-env +``` + +Optional environmental variables: +- `HEREGOES_ENV_PARALLEL`: Defaults to `False` +- `HEREGOES_ENV_NUM_CPUS`: Number of CPUs to use if `HEREGOES_ENV_PARALLEL` is `True`. Defaults to the number of CPUs reported by the OS +- `HEREGOES_ENV_IREMIS_DIR`: Directory path of the UW CIMSS IREMIS dataset which can be downloaded [here](https://cimss.ssec.wisc.edu/iremis/) + +--- + +## Imagery Examples + +### Render a single-channel SUVI image + +With a 1-second exposure SUVI netCDF file `suvi_nc`: + +```python +from heregoes import image + +suvi_image = image.SUVIImage(suvi_nc) +suvi_image.save('suvi.jpg') +``` + + +### Render a single-channel ABI image + +With an ABI L1b radiance netCDF file `abi_nc`, render the L2 CMI product: + +```python +from heregoes import image + +abi_image = image.ABIImage(abi_nc, gamma=0.75) +abi_image.save('abi.jpg') +``` + + +### Render the ABI 'natural' color RGB + +With ABI L1b radiance files for the 0.64 μm (`red_nc`), 0.86 μm (`green_nc`), and 0.47 μm (`blue_nc`) components: + +```python +from heregoes import image + +abi_rgb = image.ABINaturalRGB(red_nc, green_nc, blue_nc, gamma=0.75) +abi_rgb.save('rgb.jpg') +``` + + +### Create a Cloud-Optimized GeoTIFF from an ABI RGB + +With the `abi_rgb` object from the previous step: + +```python +from heregoes import projection + +abi_projection = projection.ABIProjection(abi_rgb.meta) +abi_projection.resample2cog(abi_rgb.bv, 'rgb.tiff') +``` + + +--- + +## Navigation Examples + +### Navigate an ABI image to latitude and longitude + +With an ABI L1b radiance netCDF file `abi_nc`: + +```python +from heregoes import meta, navigation + +abi_meta = meta.NCMeta(abi_nc) +abi_navigation = navigation.ABINavigation(abi_meta) +abi_navigation.lat_deg #latitude array +abi_navigation.lon_deg #longitude array +``` + +### Calculate the per-pixel spatial coverage of an ABI image + +With the `abi_navigation` object from the previous step: + +```python +abi_navigation.area_m #area of each pixel in square meters +``` + +### Calculate per-pixel Sun and satellite vector angles of an ABI image + +With the `abi_navigation` object from the previous step: + +```python +abi_navigation.sun_za #solar zenith angle +abi_navigation.sun_az #solar azimuth in North-clockwise convention + +abi_navigation.sat_za #satellite zenith angle +abi_navigation.sat_az #satellite azimuth in North-clockwise convention +``` + +### Find a pixel in an ABI image from latitude and longitude + +With an ABI L1b radiance netCDF file `abi_nc`: + +```python +from heregoes import meta, navigation + +abi_meta = meta.NCMeta(abi_nc) +abi_navigation = navigation.ABINavigation(abi_meta, lat_deg=44.72609499, lon_deg=-93.02279070) +abi_navigation.index #index of the ABI image at provided latitude and longitude +``` + +--- + +## Ancillary Dataset Examples + +### Create a GSHHS/Natural Earth boolean water mask projected to an ABI image + +With an ABI L1b radiance netCDF file `abi_nc`: + +```python +import cv2 +from heregoes import ancillary, meta + +abi_meta = meta.NCMeta(abi_nc) +water = ancillary.WaterMask(abi_meta, rivers=True) +cv2.imwrite('water.jpg', water.data['water_mask'] * 255) +``` + + +### Load IREMIS land emissivity and project it for an ABI channel 7 image + +With an ABI L1b radiance netCDF file for 3.9 μm `c07_nc`: + +```python +import cv2 +from heregoes import ancillary, meta, util + +c07_meta = meta.NCMeta(c07_nc) +iremis = ancillary.IREMIS(c07_meta) +cv2.imwrite('iremis.jpg', util.minmax(iremis.data['c07_land_emissivity']) * 255) +``` + \ No newline at end of file diff --git a/example-images/abi-small.jpg b/example-images/abi-small.jpg new file mode 100644 index 0000000000000000000000000000000000000000..adbce7de5a6b5446de842c0168681f81b9412f30 GIT binary patch literal 157869 zcmbq)XIK+m)a}rF?=?Vzbd}yq=mC`;LKW#v5EP_WK|x4DC<00c>4qX8(xn$^B25s5 zAYC97>0I9Lxqt3+e}4P?nlm%|oH;YkoVC|p`+D~J7eH^I3)2M%2mpZKrUBPK0Ii#& z|DFBkJrfB_(6ARuBOxb6XXZ{|tzKfZzgYa~R(q-5lT1QY<} z&3P?)fbhl$h;EFKn23~!f`E{Sn1q3pk%^3%9}tivXMuvHOjsX5q&5AbQ}!s>1WgON zWE}l#C)l-q@862S+&E$WZ#n*7`>&Vb|L>g#sEG(}W=F&Tr~_93?zce;5J2x?_1lHi0sW`SXuj^uPQ_N=^7(oFr0@XHI zVa~_#Y8REVnf7t-6S`X)R&Rk3VhJkkCNl=nnRFlNnNj(&4^<81v+xSy-p4s^@HDe9 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z5XH$Yz%RfhCI4>%AW3Kypf31phaXYDPVfzyJU_gacb`h2-vRZbSQ#C!n5nUaFQG@2 zw7rsw9wA~+$Ol00OUsPhb${x+R+wPw+qCOEKxp;D?_2iIhZEvZPa=!D3z63*#A|m1 zQK)OJK3v7qL6o0hCN`bRre(F&`q*R!o+j3o>B7aVSaEH^f>?ZUiY&+KIz+u+iwa>Hwxm{~x3n+|rJ*{p}!21Azly#Gt$r tlC6=0.54 + - numpy>=1.20 + - conda-forge::opencv + - pip + - pyproj>=3.2 + - pyspectral + - pytest + - python=3.8 + - scipy + - threadpoolctl \ No newline at end of file diff --git a/heregoes/__init__.py b/heregoes/__init__.py new file mode 100755 index 0000000..c307559 --- /dev/null +++ b/heregoes/__init__.py @@ -0,0 +1,111 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +import logging +import os +import time +from pathlib import Path + +import cv2 +import numba +from threadpoolctl import threadpool_limits + + +SCRIPT_PATH = Path(__file__).parent.resolve() + + +def parallel_state_difference(runtime_state): + """ + Checks whether the HEREGOES_ENV_PARALLEL mode has changed from the last run of the program + """ + state_file = SCRIPT_PATH.joinpath(".hg_parallel") + + if state_file.exists(): + with open(state_file, "r") as f: + line = f.readline() + + if line.lower() == "true": + file_state = True + + else: + file_state = False + + # if the runtime state matches the file state, return False (nothing to do) + if file_state == runtime_state: + return False + + # if the states do not match, or the state file did not exist, write the new state and return True + with open(state_file, "w") as f: + file_state = runtime_state + f.write(str(file_state)) + + return True + + +NUMBA_PARALLEL = False +GDAL_PARALLEL = False +NUM_CPUS = 1 + +if os.getenv("HEREGOES_ENV_PARALLEL", "False").lower() == "true": + NUMBA_PARALLEL = True + GDAL_PARALLEL = True + + if os.getenv("HEREGOES_ENV_NUM_CPUS"): + NUM_CPUS = int(os.getenv("HEREGOES_ENV_NUM_CPUS")) + + else: + NUM_CPUS = len(os.sched_getaffinity(0)) + +cv2.setNumThreads(NUM_CPUS) +numba.set_num_threads(NUM_CPUS) +threadpool_limits(limits=NUM_CPUS, user_api=None) + + +IREMIS_DIR = os.getenv("HEREGOES_ENV_IREMIS_DIR") +if IREMIS_DIR: + IREMIS_DIR = Path(IREMIS_DIR) + + +NUMBA_CACHE_DIR = SCRIPT_PATH.joinpath("__numba_cache__") +NUMBA_CACHE_DIR.mkdir(parents=True, exist_ok=True) + +# if the parallel mode has changed since the last initialization, clear the Numba cache +if parallel_state_difference(NUMBA_PARALLEL): + for child in NUMBA_CACHE_DIR.glob("*/*"): + if child.is_file(): + if child.suffix == ".nbc" or child.suffix == ".nbi": + child.unlink() + +numba.config.CACHE_DIR = NUMBA_CACHE_DIR + + +heregoes_njit = numba.njit(cache=True, fastmath=False, parallel=NUMBA_PARALLEL) +heregoes_njit_noparallel = numba.njit(cache=True, fastmath=False, parallel=False) + +logger = logging.getLogger("heregoes-logger") +handler = logging.StreamHandler() +formatter = logging.Formatter( + fmt="%(asctime)s.%(msecs)03dZ | %(levelname)s | %(module)s | %(funcName)s | %(message)s", + datefmt="%Y-%m-%dT%H:%M:%S", + style="%", +) +formatter.converter = time.gmtime +handler.setFormatter(formatter) +logger.addHandler(handler) diff --git a/heregoes/abi.py b/heregoes/abi.py new file mode 100755 index 0000000..2dabe18 --- /dev/null +++ b/heregoes/abi.py @@ -0,0 +1,85 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Functions for working with ABI L1b Radiance and ABI L2 CMI""" + +import numpy as np + +from heregoes import heregoes_njit, util + + +@heregoes_njit +def rad2rf(rad, esd, esun): + # converts spectral radiance "rad" to Reflectance Factor (RF) following CMIP ATBD eq. 3-4 + return ((rad * np.pi * np.square(esd)) / esun).astype(np.float32) + + +@heregoes_njit +def rf2rad(rf, esd, esun): + # converts Reflectance Factor (RF) to spectral radiance "rad" following CMIP ATBD eq. 3-3 + return ((rf * esun) / (np.pi * np.square(esd))).astype(np.float32) + + +@heregoes_njit +def rf2bv(rf, min, max, gamma=1.0): + # converts Reflectance Factor (RF) to an 8-bit representation (Brightness Value (BV)) following CMIP ATBD eq. 3-22 + return util.make_8bit( + np.power( + util.linear_norm(rf, old_min=min, old_max=max, new_min=0.0, new_max=1.0), + gamma, + ) + * 255 + ) + + +@heregoes_njit +def rad2bt(rad, planck_fk1, planck_fk2, planck_bc1, planck_bc2): + # converts spectral radiance "rad" to Brightness Temperature (BT) following CMIP ATBD eq. 3-5 + return ( + (planck_fk2 / (np.log((planck_fk1 / rad) + 1.0)) - planck_bc1) / planck_bc2 + ).astype(np.float32) + + +@heregoes_njit +def bt2rad(bt, planck_fk1, planck_fk2, planck_bc1, planck_bc2): + # converts Brightness Temperature (BT) to spectral radiance "rad" following CMIP ATBD eq. 3-6 + return ( + planck_fk1 / (np.exp(planck_fk2 / (planck_bc1 + (planck_bc2 * bt))) - 1.0) + ).astype(np.float32) + + +@heregoes_njit +def bt2bv(bt): + # converts Brightness Temperature (BT) to an 8-bit representation (Brightness Value (BV)) following CMIP ATBD eq. 3-19 and 3-20 + return util.make_8bit(np.where(bt >= 242.0, (660.0 - (2.0 * bt)), (418.0 - bt))) + + +@heregoes_njit +def rad_wvn2wvl(rad, eqw_wvn, eqw_wvl): + # converts spectral radiance "rad" in mW/m^2/sr/cm^-1 to W/m^2/sr/μm + # https://cimss.ssec.wisc.edu/goes/calibration/Converting_AHI_RadianceUnits_24Feb2015.pdf + return (rad / 1000.0 * eqw_wvn / eqw_wvl).astype(np.float32) + + +@heregoes_njit +def rad_wvl2wvn(rad, eqw_wvn, eqw_wvl): + # converts spectral radiance "rad" in W/m^2/sr/μm to mW/m^2/sr/cm^-1 + # https://cimss.ssec.wisc.edu/goes/calibration/Converting_AHI_RadianceUnits_24Feb2015.pdf + return (rad * 1000.0 / eqw_wvn * eqw_wvl).astype(np.float32) diff --git a/heregoes/ancillary.py b/heregoes/ancillary.py new file mode 100755 index 0000000..8646deb --- /dev/null +++ b/heregoes/ancillary.py @@ -0,0 +1,333 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Classes for working with ancillary datasets in the ABI fixed grid projection""" + +import io + +import cartopy.crs as ccrs +import cartopy.feature as cf +import matplotlib + +matplotlib.use("Agg") +import traceback +from pathlib import Path + +import matplotlib.pyplot as plt +import netCDF4 +import numpy as np + +from heregoes import IREMIS_DIR, SCRIPT_PATH, logger, projection, util + + +class AncillaryDataset: + """This is the base class for ancillary datasets, and can be used directly to save and load compressed npz NumPy objects""" + + def __init__(self): + self.data = {} + self.dataset_name = None + + def save(self, save_dir=SCRIPT_PATH.joinpath("ancillary")): + save_dir = Path(save_dir) + save_dir.mkdir(parents=True, exist_ok=True) + + file_name = "_".join( + ( + self.abi_meta.platform_ID, + self.abi_meta.instrument_meta.scene_id_safe, + self.dataset_name, + ) + ).lower() + file_path = save_dir.joinpath(file_name).with_suffix(".npz") + + try: + np.savez_compressed(file_path, **self.data) + + except: + logger.critical("Could not save dataset at %s", file_path) + print(traceback.format_exc()) + + return + + def load(self, npz_path): + npz_path = Path(npz_path) + try: + npz = np.load(npz_path) + + except: + logger.critical("Could not load dataset at %s", npz_path) + print(traceback.format_exc()) + + return + + self.dataset_name = npz_path.name + for key in npz.keys(): + self.data[key] = npz[key] + + +class IREMIS(AncillaryDataset): + """ + Loads in UW CIMSS' Baseline Fit Infrared Emissivity Database a.k.a IREMIS (Download and info: https://cimss.ssec.wisc.edu/iremis/) + and projects to the ABI fixed grid. Requres IREMIS netCDFs to be present in a directory set by the `iremis_dir` argument or + by the HEREGOES_ENV_IREMIS_DIR environmental variable. + + Provides a linear interpolation of land surface emissivity for: + - ABI channel 7 (3.9 μm): `data['c07_land_emissivity']` + - ABI channel 14 (11.2 μm): `data['c14_land_emissivity']` + + Arguments: + - `abi_meta`: The NCMeta object formed on a GOES-R ABI L1b Radiance netCDF file + - `iremis_dir`: Location of IREMIS netCDF files. Defaults to the directory set by the HEREGOES_ENV_IREMIS_DIR environmental variable + """ + + def __init__(self, abi_meta, iremis_dir=IREMIS_DIR): + super(IREMIS, self).__init__() + + self.abi_meta = abi_meta + month = self.abi_meta.time_coverage_start.month + self.dataset_name = "iremis_abi_month" + str(month).zfill(2) + + try: + iremis_dir = Path(iremis_dir) + + except: + logger.critical("iremis_dir is not set or is not a real path") + print(traceback.format_exc()) + + return + + iremis_locations = iremis_dir.joinpath("global_emis_inf10_location.nc") + iremis_months = [ + "global_emis_inf10_monthFilled_MYD11C3.A2016001.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016032.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016061.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016092.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016122.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016153.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016183.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016214.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016245.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016275.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016306.041.nc", + "global_emis_inf10_monthFilled_MYD11C3.A2016336.041.nc", + ] + self.iremis_nc = iremis_dir.joinpath(iremis_months[month - 1]) + + if not self.iremis_nc.exists(): + logger.critical("Could not locate IREMIS netCDF: %s", self.iremis_nc) + print(traceback.format_exc()) + + return + + with netCDF4.Dataset(self.iremis_nc, "r") as loaded_iremis_nc: + # UW Baseline Fit IREMIS may be linearly interpolated for moderate resolution spectral emissivity: https://doi.org/10.1175/2007JAMC1590.1 + self.data["c07_land_emissivity"] = util.linear_interp( + 3.7, + 4.3, + loaded_iremis_nc["emis1"][:], + loaded_iremis_nc["emis2"][:], + 3.9, + ).astype(np.float32) + self.data["c14_land_emissivity"] = util.linear_interp( + 10.8, + 12.1, + loaded_iremis_nc["emis8"][:], + loaded_iremis_nc["emis9"][:], + 11.2, + ).astype(np.float32) + + # ocean pixels have a negative fill value, we set them to have an emissivity of 1.0 + self.data["c07_land_emissivity"][self.data["c07_land_emissivity"] < 0.0] = 1.0 + self.data["c14_land_emissivity"][self.data["c14_land_emissivity"] < 0.0] = 1.0 + + # rotate IREMIS to be N-S and E-W + self.data["c07_land_emissivity"] = np.flipud( + np.rot90(self.data["c07_land_emissivity"], k=1) + ) + self.data["c14_land_emissivity"] = np.flipud( + np.rot90(self.data["c14_land_emissivity"], k=1) + ) + + with netCDF4.Dataset(iremis_locations, "r") as iremis_locations_nc: + iremis_ul_lat = iremis_locations_nc["lat"][0, 0] + iremis_ul_lon = iremis_locations_nc["lon"][0, 0] + iremis_lr_lat = iremis_locations_nc["lat"][-1, -1] + iremis_lr_lon = iremis_locations_nc["lon"][-1, -1] + + abi_projection = projection.ABIProjection(self.abi_meta) + self.data["c07_land_emissivity"] = abi_projection.resample2abi( + self.data["c07_land_emissivity"], + latlon_bounds=[iremis_ul_lon, iremis_ul_lat, iremis_lr_lon, iremis_lr_lat], + interpolation="bilinear", + ) + self.data["c14_land_emissivity"] = abi_projection.resample2abi( + self.data["c14_land_emissivity"], + latlon_bounds=[iremis_ul_lon, iremis_ul_lat, iremis_lr_lon, iremis_lr_lat], + interpolation="bilinear", + ) + + +class WaterMask(AncillaryDataset): + """ + Loads in Global Self-consistent, Hierarchical, High-resolution Shorelines (GSHHS a.k.a GSHHG) (http://www.soest.hawaii.edu/pwessel/gshhg/) + and projects to the ABI fixed grid. Natural Earth rivers (https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-rivers-lake-centerlines/) + are optionally added on top of GSHHS when `rivers` is `True`. Both the GSHHS and Natural Earth datasets are automatically downloaded by Cartopy. + + Provides a boolean land/water mask in `data['water_mask']` where water is `False` and land is `True`. + + Arguments: + - `abi_meta`: The NCMeta object formed on a GOES-R ABI L1b Radiance netCDF file + - `gshhs_scale`: 'auto', 'coarse', 'low', 'intermediate', 'high, or 'full' (https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.feature.GSHHSFeature.html) + - `rivers`: Default `False` + """ + + def __init__(self, abi_meta, gshhs_scale="intermediate", rivers=False): + super(WaterMask, self).__init__() + + self.abi_meta = abi_meta + self.dataset_name = "gshhs_abi_" + gshhs_scale + + # https://scitools.org.uk/cartopy/docs/latest/crs/index.html#cartopy.crs.Globe + goes_globe = ccrs.Globe( + datum=None, + ellipse="GRS80", + semimajor_axis=self.abi_meta.instrument_meta.semi_major_axis, + semiminor_axis=self.abi_meta.instrument_meta.semi_minor_axis, + flattening=None, + inverse_flattening=self.abi_meta.instrument_meta.inverse_flattening, + towgs84=None, + nadgrids=None, + ) + # https://scitools.org.uk/cartopy/docs/latest/crs/projections.html#goes + goes_projection = ccrs.Geostationary( + central_longitude=self.abi_meta.instrument_meta.longitude_of_projection_origin, + satellite_height=self.abi_meta.instrument_meta.perspective_point_height, + false_easting=0, + false_northing=0, + globe=goes_globe, + sweep_axis=self.abi_meta.instrument_meta.sweep_angle_axis, + ) + + dpi = 1000 + plt.figure( + figsize=( + self.abi_meta.instrument_meta.x / dpi, + self.abi_meta.instrument_meta.y / dpi, + ), + dpi=dpi, + ) + ax = plt.axes(projection=goes_projection) + + # cartopy errors on extents the size of the ABI Full Disk + if self.abi_meta.instrument_meta.scene_id != "Full Disk": + ul_x = ( + self.abi_meta.instrument_meta.x_image_bounds[0] + * self.abi_meta.instrument_meta.perspective_point_height + ) + ul_y = ( + self.abi_meta.instrument_meta.y_image_bounds[0] + * self.abi_meta.instrument_meta.perspective_point_height + ) + lr_x = ( + self.abi_meta.instrument_meta.x_image_bounds[1] + * self.abi_meta.instrument_meta.perspective_point_height + ) + lr_y = ( + self.abi_meta.instrument_meta.y_image_bounds[1] + * self.abi_meta.instrument_meta.perspective_point_height + ) + ax.set_extent([ul_x, lr_x, ul_y, lr_y], crs=goes_projection) + + # https://scitools.org.uk/cartopy/docs/v0.14/matplotlib/feature_interface.html#cartopy.feature.GSHHSFeature + gshhs_coastline = cf.GSHHSFeature( + scale=gshhs_scale, + levels=[1], + edgecolor="black", + facecolor="black", + zorder=-1, + ) + gshhs_lakes = cf.GSHHSFeature( + scale=gshhs_scale, + levels=[2], + edgecolor="white", + facecolor="white", + zorder=-1, + ) + gshhs_lake_islands = cf.GSHHSFeature( + scale=gshhs_scale, + levels=[3], + edgecolor="black", + facecolor="black", + zorder=-1, + ) + gshhs_island_ponds = cf.GSHHSFeature( + scale=gshhs_scale, + levels=[4], + edgecolor="white", + facecolor="white", + zorder=-1, + ) + + linewidth = 1 / dpi + ax.add_feature(gshhs_coastline, linewidth=linewidth) + ax.add_feature(gshhs_lakes, linewidth=linewidth) + ax.add_feature(gshhs_lake_islands, linewidth=linewidth) + ax.add_feature(gshhs_island_ponds, linewidth=linewidth) + + if rivers: + self.dataset_name += "_rivers" + ne_rivers = cf.NaturalEarthFeature( + "physical", + "rivers_lake_centerlines", + "10m", + edgecolor="white", + facecolor="none", + zorder=-1, + ) + ax.add_feature(ne_rivers, linewidth=linewidth) + + matplotlib.rc("axes", edgecolor="white") + matplotlib.rc("lines", antialiased=False) + matplotlib.rc("patch", antialiased=False) + + # remove margin space: https://stackoverflow.com/a/27227718 + ax.set_axis_off() + plt.subplots_adjust(top=1, bottom=0, right=1, left=0, hspace=0, wspace=0) + plt.margins(0, 0) + ax.xaxis.set_major_locator(plt.NullLocator()) + ax.yaxis.set_major_locator(plt.NullLocator()) + + io_buf = io.BytesIO() + plt.savefig(io_buf, format="raw", dpi=dpi) + plt.close() + io_buf.seek(0) + self.data["water_mask"] = np.reshape( + np.frombuffer(io_buf.getvalue(), dtype=np.uint8), + newshape=( + self.abi_meta.instrument_meta.y, + self.abi_meta.instrument_meta.x, + -1, + ), + ) + io_buf.close() + # invert the mask such that water is False and land is True + self.data["water_mask"] = ~( + (self.data["water_mask"][:, :, 0] / 255).astype(dtype=bool) + ) diff --git a/heregoes/coefficients.py b/heregoes/coefficients.py new file mode 100755 index 0000000..7254317 --- /dev/null +++ b/heregoes/coefficients.py @@ -0,0 +1,123 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Storage for instrument-specific coefficients not delivered within their netCDF products""" + +import re + + +class ABICoeff: + def __init__(self, platform_id, band_id): + """ + Stores instrument-specific band equivalent widths as (wavenumber, wavelength) (cm^-1, μm) for ABI + """ + + # https://cimss.ssec.wisc.edu/goes/calibration/eqw/GOES16_ABI_ALLBANDS_MAR2016.eqw + abi_g16_eqw = { + 1: (1695.3619, 0.0376), + 2: (2028.3127, 0.0826), + 3: (464.8830, 0.0347), + 4: (72.5596, 0.0137), + 5: (174.3903, 0.0452), + 6: (91.7739, 0.0462), + 7: (116.4128, 0.1763), + 8: (202.0661, 0.7728), + 9: (86.1816, 0.4140), + 11: (34.7444, 0.1870), + 10: (57.9918, 0.4139), + 12: (40.8063, 0.3768), + 13: (29.7437, 0.3176), + 14: (61.5342, 0.7711), + 15: (59.6483, 0.8989), + 16: (30.8270, 0.5428), + } + + # https://cimss.ssec.wisc.edu/goes/calibration/eqw/GOES17_ABI_ALLBANDS_MAR2016.eqw + abi_g17_eqw = { + 1: (1682.6986, 0.0373), + 2: (2078.7224, 0.0844), + 3: (462.0279, 0.0345), + 4: (72.5726, 0.0137), + 5: (174.2840, 0.0451), + 6: (91.5246, 0.0460), + 7: (125.9091, 0.1902), + 8: (201.5474, 0.7708), + 9: (87.6595, 0.4217), + 11: (34.2198, 0.1842), + 10: (57.1147, 0.4085), + 12: (41.2183, 0.3809), + 13: (30.5115, 0.3251), + 14: (60.0778, 0.7537), + 15: (59.4295, 0.8970), + 16: (30.7490, 0.5441), + } + + if bool(re.search("g.*16", str(platform_id).lower())): + self.eqw = abi_g16_eqw[band_id] + + elif bool(re.search("g.*17", str(platform_id).lower())): + self.eqw = abi_g17_eqw[band_id] + + +class SUVICoeff: + def __init__(self, platform_id, wavelength): + """ + Stores scaling coefficients used for SUVI images at Here GOES Radiotelescope. + The coefficients were chosen to approximate the appearance of SWPC SUVI imagery from 1-second exposures on GOES-16. + See the SUVIImage class for how they are implemented. + """ + + suvi_g16_input_range = { + 94: (0.0, 40.0), + 131: (0.0, 40.0), + 171: (0.0, 20.0), + 195: (0.0, 50.0), + 284: (0.0, 60.0), + 304: (0.0, 300.0), + } + + suvi_g16_asinh_a = { + 94: 0.001, + 131: 0.00015, + 171: 0.0015, + 195: 0.0015, + 284: 0.00025, + 304: 0.00015, + } + + suvi_g16_output_range = { + 94: (0.0, 0.8), + 131: (0.117, 0.8), + 171: (0.0, 1.0), + 195: (0.117, 1.0), + 284: (0.2, 0.8), + 304: (0.117, 0.8), + } + + # TODO: scaling coefficients are the same for G16 and G17 for now + if bool(re.search("g.*16", str(platform_id).lower())): + self.input_range = suvi_g16_input_range[wavelength] + self.asinh_a = suvi_g16_asinh_a[wavelength] + self.output_range = suvi_g16_output_range[wavelength] + + elif bool(re.search("g.*17", str(platform_id).lower())): + self.input_range = suvi_g16_input_range[wavelength] + self.asinh_a = suvi_g16_asinh_a[wavelength] + self.output_range = suvi_g16_output_range[wavelength] diff --git a/heregoes/image.py b/heregoes/image.py new file mode 100755 index 0000000..00452c3 --- /dev/null +++ b/heregoes/image.py @@ -0,0 +1,332 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Basic classes for creating ABI and SUVI imagery""" + +import re +from pathlib import Path + +import cv2 +import netCDF4 +import numpy as np +from astropy.convolution import Gaussian2DKernel, interpolate_replace_nans +from scipy import ndimage + +from heregoes import ( + abi, + logger, + meta, + suvi, + util, +) + + +class Image: + def __init__(self): + self.rad = None + self.dqf = None + self.quality = None + self._bv = None + + def save(self, file_path): + file_path = Path(file_path) + file_dir = file_path.parent.resolve() + file_dir.mkdir(parents=True, exist_ok=True) + + if bool(re.search(r"\.jp[e]?g", file_path.suffix.lower())): + cv2_quality = [cv2.IMWRITE_JPEG_QUALITY, 100] + + elif bool(re.search(r"\.png", file_path.suffix.lower())): + cv2_quality = [cv2.IMWRITE_PNG_COMPRESSION, 9] + + else: + cv2_quality = None + + try: + result = cv2.imwrite(str(file_path), self.bv, cv2_quality) + if not result: + raise ValueError(f"Could not save image to {file_path}") + + except Exception as e: + logger.critical(e) + + return + + +class ABIImage(Image): + def __init__( + self, + abi_nc, + index=slice(None, None), + gamma=1.0, + mask_fill=False, + ): + """ + Creates Cloud Moisture Imagery (CMI) following the CMIP ATBD: https://www.star.nesdis.noaa.gov/goesr/docs/ATBD/Imagery.pdf + - Spectral radiance is stored in `rad` + - The Data Quality Flag array is stored in `dqf` + - A ratio of masked to total array elements is stored as `quality` + - The Cloud Moisture Imagery quantity is stored in `cmi` for: + - Reflective ABI bands as Reflectance Factor (RF) + - Emissive ABI bands as Brightness Temperature (BT) + - "Brightness Value" (BV) is the 8-bit representation of CMI. It is stored in `bv` for: + - Reflectance factor with a gamma correction + - Brightness temperature with a bilinear tone curve + + Arguments: + - `abi_nc`: String or Path object pointing to a GOES-R ABI L1b Radiance netCDF file + - `index`: Optionally process an ABI image for a single array index or slice + - `gamma`: Optional gamma correction for reflective ABI brightness value. Defaults to no correction + - `mask_fill` Optionally fills masked radiance with np.nan and masked DQF with 0. Default `False` + """ + + super(ABIImage, self).__init__() + self.gamma = gamma + self._cmi = None + + with netCDF4.Dataset(abi_nc, "r") as loaded_abi_nc: + self.rad = np.atleast_1d(loaded_abi_nc["Rad"][index]) + valid_range = loaded_abi_nc["Rad"].valid_range + scale_factor = loaded_abi_nc["Rad"].scale_factor + add_offset = loaded_abi_nc["Rad"].add_offset + self.dqf = np.atleast_1d(loaded_abi_nc["DQF"][index]) + + self.rad_range = np.array( + valid_range * scale_factor + add_offset, dtype=np.float32 + ) + + if self.rad.size > 1: + # count of non-masked elements over total number of elements + self.quality = self.rad.count() / self.rad.size + + if mask_fill: + self.rad[self.rad.mask] = np.nan + self.dqf[self.dqf.mask] = 0 + + self.meta = meta.NCMeta(abi_nc) + + @property + def cmi(self): + if self._cmi is None: + if 1 <= self.meta.instrument_meta.band_id <= 6: + self._cmi = abi.rad2rf( + self.rad, + self.meta.instrument_meta.esd, + self.meta.instrument_meta.esun, + ) + + elif 7 <= self.meta.instrument_meta.band_id <= 16: + self._cmi = abi.rad2bt( + self.rad, + self.meta.instrument_meta.planck_fk1, + self.meta.instrument_meta.planck_fk2, + self.meta.instrument_meta.planck_bc1, + self.meta.instrument_meta.planck_bc2, + ) + + return self._cmi + + @cmi.setter + def cmi(self, value): + self._cmi = value + + @property + def bv(self): + if self._bv is None: + if 1 <= self.meta.instrument_meta.band_id <= 6: + # calculate the range of possible reflectance factors from the provided valid range of radiance, and use it to normalize before the gamma correction + rf_min, rf_max = ( + self.rad_range * np.pi * np.square(self.meta.instrument_meta.esd) + ) / self.meta.instrument_meta.esun + self._bv = abi.rf2bv(self.cmi, min=rf_min, max=rf_max, gamma=self.gamma) + + elif 7 <= self.meta.instrument_meta.band_id <= 16: + self._bv = abi.bt2bv(self.cmi) + + return self._bv + + @bv.setter + def bv(self, value): + self._bv = value + + +class ABINaturalRGB(Image): + def __init__( + self, + red_nc, + green_nc, + blue_nc, + r_coeff=0.45, + g_coeff=0.1, + b_coeff=0.45, + upscale=False, + gamma=1.0, + mask_fill=False, + ): + """ + Creates the "natural" color RGB for ABI following https://doi.org/10.1029/2018EA000379 in BGR order + + Arguments: + - `red_nc`, `green_nc`, `blue_nc`: Strings or Path objects pointing to GOES-R ABI L1b Radiance netCDF files for the red (0.64 μm), green (0.86 μm), and blue (0.47 μm) components + - `r_coeff`, `g_coeff`, `b_coeff`: Coefficients for the fractional combination "green" band method described in Bah et. al (2018) + - `upscale`: Whether to scale up green and blue images (1 km) to match the red image (500 m) (`True`) or vice versa (`False`, Default) + - `gamma`: Optional gamma correction for reflective ABI brightness value. Defaults to no correction + - `mask_fill` Optionally fills masked radiance with np.nan and masked DQF with 0. Default `False` + """ + + super(ABINaturalRGB, self).__init__() + + red_image = ABIImage(red_nc, gamma=gamma, mask_fill=mask_fill) + green_image = ABIImage(green_nc, gamma=gamma, mask_fill=mask_fill) + blue_image = ABIImage(blue_nc, gamma=gamma, mask_fill=mask_fill) + + if upscale: + # upscale green and blue to the size of red + green_image.bv = cv2.resize( + green_image.bv, + (red_image.bv.shape[1], red_image.bv.shape[0]), + interpolation=cv2.INTER_LANCZOS4, + ) + green_image.dqf = cv2.resize( + green_image.bv, + (red_image.dqf.shape[1], red_image.dqf.shape[0]), + interpolation=cv2.INTER_NEAREST, + ) + blue_image.bv = cv2.resize( + blue_image.bv, + (red_image.bv.shape[1], red_image.bv.shape[0]), + interpolation=cv2.INTER_LANCZOS4, + ) + blue_image.dqf = cv2.resize( + blue_image.bv, + (red_image.dqf.shape[1], red_image.dqf.shape[0]), + interpolation=cv2.INTER_NEAREST, + ) + + else: + # downscale red to the size of green and blue + red_image.bv = cv2.resize( + red_image.bv, + (green_image.bv.shape[1], green_image.bv.shape[0]), + interpolation=cv2.INTER_AREA, + ) + red_image.dqf = cv2.resize( + red_image.bv, + (green_image.dqf.shape[1], green_image.dqf.shape[0]), + interpolation=cv2.INTER_NEAREST, + ) + + green_image.bv = ( + (red_image.bv * r_coeff) + + (green_image.bv * g_coeff) + + (blue_image.bv * b_coeff) + ) + + self.bv = util.make_8bit( + np.stack([blue_image.bv, green_image.bv, red_image.bv], axis=2) + ) + self.quality = ( + sum([red_image.quality, green_image.quality, blue_image.quality]) / 3 + ) + self.dqf = np.stack([blue_image.dqf, green_image.dqf, red_image.dqf], axis=2) + + if upscale: + self.meta = red_image.meta + + else: + self.meta = green_image.meta + + self.meta.instrument_meta.band_id = ( + self.meta.instrument_meta.band_id_safe + ) = "Color" + self.meta.dataset_name = "RGB from " + ", ".join( + (str(red_nc), str(green_nc), str(blue_nc)) + ) + self.meta.instrument_meta.rgb = [str(red_nc), str(green_nc), str(blue_nc)] + + +class SUVIImage(Image): + def __init__( + self, + suvi_nc, + shift=True, + flip=True, + dqf_correction=True, + mask_fill=False, + ): + """ + Creates a 1-second 8-bit SUVI image made to look similar to what is shown on the SWPC website: https://www.swpc.noaa.gov/products/goes-solar-ultraviolet-imager-suvi + + Arguments: + - `suvi_nc`: String or Path object pointing to a 1-second exposure GOES-R SUVI L1b Solar Imagery netCDF file + - `shift`: Whether to try moving the center of the Sun to the center of the image. Default `True` + - `flip`: Whether to flip the SUVI image from S-N to N-S to match SWPC. Default `True` + - `dqf_correction`: Whether to interpolate over bad pixels marked by DQF. Default `True` + - `mask_fill` Optionally fills masked radiance with np.nan and masked DQF with 0. Default `False` + """ + + super(SUVIImage, self).__init__() + + with netCDF4.Dataset(suvi_nc, "r") as loaded_nc: + self.rad = loaded_nc["RAD"][:] + # count of non-masked elements over total number of elements + self.quality = self.rad.count() / self.rad.size + self.dqf = loaded_nc["DQF"][:] + x_offset = 640 - loaded_nc["CRPIX1"][:] + y_offset = 640 - loaded_nc["CRPIX2"][:] + + if mask_fill: + self.rad[self.rad.mask] = np.nan + self.dqf[self.dqf.mask] = 0 + + if dqf_correction: + # first we dilate the DQF so it covers the bad pixel halos (3x3 kernel) + dilated_dqf = ndimage.binary_dilation( + self.dqf, structure=np.ones((3, 3), np.uint8), iterations=1 + ) + # replace flagged pixels with NaN, then interpolate over NaN with 9x9 Gaussian kernel + self.rad = interpolate_replace_nans( + np.where(dilated_dqf != 0, np.nan, self.rad), + Gaussian2DKernel(x_stddev=1, x_size=9, y_size=9), + ) + + if shift: + # move the sun to the center of the image using default ndimage spline interpolation + # if the sun is more than 100 pixels away from center in both axes, do nothing + if abs(x_offset) < 100 and abs(y_offset) < 100: + self.rad = ndimage.shift(self.rad, (y_offset, x_offset), mode="wrap") + + if flip: + # SUVI arrays are S-N, make them N-S to match SWPC + self.rad = np.flipud(self.rad) + + self.meta = meta.NCMeta(suvi_nc) + + @property + def bv(self): + if self._bv is None: + self._bv = suvi.rad_bv( + self.rad, + *self.meta.instrument_meta.coefficients.input_range, + self.meta.instrument_meta.coefficients.asinh_a, + *self.meta.instrument_meta.coefficients.output_range, + ) + + return self._bv diff --git a/heregoes/meta.py b/heregoes/meta.py new file mode 100755 index 0000000..da90d30 --- /dev/null +++ b/heregoes/meta.py @@ -0,0 +1,214 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Storage and utilities for frequently-referenced product metadata""" + +import datetime +import os + +import netCDF4 +import numpy as np + +from heregoes import coefficients + +noaa_time_format = "%Y-%m-%dT%H:%M:%S.%fZ" +cspp_time_format = "%Y-%m-%d %H:%M:%S.%f" +safe_time_format = "%Y-%m-%dT%H%M%SZ" + + +class NCMeta: + """ + Stores general fields for GOES-R netCDF metadata. + + Arguments: + - `nc`: String or Path object pointing to a netCDF file for either: + - GOES-R ABI L1b Radiance, or + - GOES-R L1b SUVI Imagery + """ + + def __init__(self, nc): + with netCDF4.Dataset(nc, "r") as loaded_nc: + self.platform_ID = loaded_nc.platform_ID + self.platform_ID_safe = "-".join(("GOES", self.platform_ID[-2:])) + self.instrument_type = loaded_nc.instrument_type + self.dataset_name = loaded_nc.dataset_name + self.product_name = "-".join( + self.dataset_name.split("_")[1].split("-")[0:3] + ) + self.instrument_type_safe = self.product_name.split("-")[0] + self.time_coverage_start = norm_date( + loaded_nc.time_coverage_start, noaa_time_format + ) + self.time_coverage_end = norm_date( + loaded_nc.time_coverage_end, noaa_time_format + ) + self.date_created = norm_date(loaded_nc.date_created, noaa_time_format) + + # this is a nonstandard field added by CSPP GEO. If we can't get it, use the actual file mtime + try: + self.local_file_time = norm_date( + loaded_nc.cspp_geo_grb_reconstruction_end_time, cspp_time_format + ) + + except: + self.local_file_time = datetime.datetime.utcfromtimestamp( + os.stat(nc).st_mtime + ).replace(tzinfo=datetime.timezone.utc) + + if self.instrument_type_safe == "ABI": + self.instrument_meta = _ABIMeta(loaded_nc) + self.instrument_meta.coefficients = coefficients.ABICoeff( + self.platform_ID, self.instrument_meta.band_id.item() + ) + + elif self.instrument_type_safe == "SUVI": + self.instrument_meta = _SUVIMeta(loaded_nc) + self.instrument_meta.coefficients = coefficients.SUVICoeff( + self.platform_ID, self.instrument_meta.wavelength.item() + ) + + +class _ABIMeta: + """Stores ABI-specific fields for GOES-R netCDF metadata""" + + def __init__(self, loaded_nc): + self.scene_id = loaded_nc.scene_id + if "Meso" in self.scene_id: + self.mesoscale_id = loaded_nc.dataset_name.split("-")[2].split("RadM")[1] + self.scene_id = "Mesoscale " + self.mesoscale_id + self.scene_id_safe = "Meso" + self.mesoscale_id + elif self.scene_id == "Full Disk": + self.scene_id_safe = "FullDisk" + elif self.scene_id == "CONUS": + self.scene_id_safe = "CONUS" + + resolution = loaded_nc["Rad"].resolution + if resolution == "y: 0.000014 rad x: 0.000014 rad": + self.ifov = 14.0e-6 + elif resolution == "y: 0.000028 rad x: 0.000028 rad": + self.ifov = 28.0e-6 + elif resolution == "y: 0.000056 rad x: 0.000056 rad": + self.ifov = 56.0e-6 + + self.y = loaded_nc.dimensions["y"].size + self.x = loaded_nc.dimensions["x"].size + self.timeline_id = loaded_nc.timeline_id + self.band_id = loaded_nc["band_id"][0] + self.band_id_safe = "C" + str(self.band_id).zfill(2) + self.band_wavelength = round(float(loaded_nc["band_wavelength"][0]), 2) + self.esd = loaded_nc["earth_sun_distance_anomaly_in_AU"][0] + self.esun = loaded_nc["esun"][0] + self.planck_fk1 = loaded_nc["planck_fk1"][0] + self.planck_fk2 = loaded_nc["planck_fk2"][0] + self.planck_bc1 = loaded_nc["planck_bc1"][0] + self.planck_bc2 = loaded_nc["planck_bc2"][0] + self.midpoint_time = epoch2timestamp(seconds=float(loaded_nc["t"][:].item())) + self.time_bounds = loaded_nc["time_bounds"][:] + self.projection_y_coordinate = loaded_nc["y"][:] + self.y_image_bounds = loaded_nc["y_image_bounds"][:] + self.projection_x_coordinate = loaded_nc["x"][:] + self.x_image_bounds = loaded_nc["x_image_bounds"][:] + self.perspective_point_height = loaded_nc[ + "goes_imager_projection" + ].perspective_point_height + self.semi_major_axis = loaded_nc["goes_imager_projection"].semi_major_axis + self.semi_minor_axis = loaded_nc["goes_imager_projection"].semi_minor_axis + self.inverse_flattening = loaded_nc["goes_imager_projection"].inverse_flattening + self.latitude_of_projection_origin = loaded_nc[ + "goes_imager_projection" + ].latitude_of_projection_origin + self.longitude_of_projection_origin = loaded_nc[ + "goes_imager_projection" + ].longitude_of_projection_origin + self.sweep_angle_axis = loaded_nc["goes_imager_projection"].sweep_angle_axis + self.y_image = loaded_nc["y_image"][:] + self.x_image = loaded_nc["x_image"][:] + self.nominal_satellite_subpoint_lat = loaded_nc[ + "nominal_satellite_subpoint_lat" + ][0] + self.nominal_satellite_subpoint_lon = loaded_nc[ + "nominal_satellite_subpoint_lon" + ][0] + self.nominal_satellite_height = loaded_nc["nominal_satellite_height"][0] + + +class _SUVIMeta: + """Stores SUVI-specific fields for GOES-R netCDF metadata""" + + def __init__(self, loaded_nc): + # The short exposure has a masked exposure time in netCDF + self.exposure = loaded_nc["CMD_EXP"][0].data + self.wavelength = loaded_nc["WAVELNTH"][0].data + self.wavelength_safe = str(int(loaded_nc["WAVELNTH"][0].data)).zfill(3) + # Wavelength for SUVI 304 is masked in netCDF + if self.wavelength_safe == "000": + self.wavelength_safe = "304" + self.wavelength = np.array([304], dtype=np.float32) + + +def norm_date(datestring, fmtstring): + return datetime.datetime.strptime(datestring, fmtstring).replace( + tzinfo=datetime.timezone.utc + ) + + +def epoch2timestamp(seconds): + # J200 epoch converter + epoch = datetime.datetime(2000, 1, 1, 12, 0, 0, 0, tzinfo=datetime.timezone.utc) + timestamp = epoch + datetime.timedelta(seconds=seconds) + + return timestamp + + +def nc_reader(nc, variable, index=slice(None), attribute=None): + # generic netCDF inspector + with netCDF4.Dataset(nc, "r") as loaded_nc: + if attribute is None: + return loaded_nc[variable][index] + else: + return getattr(loaded_nc[variable], attribute) + + +def image_filename(image): + # returns a safe filename using image metadata e.g. "g16_abi_conus_c02" or "g16_suvi_094" + if image.meta.instrument_type_safe == "ABI": + filename = ( + "_".join( + ( + image.meta.platform_ID, + image.meta.instrument_type_safe, + image.meta.instrument_meta.scene_id_safe, + image.meta.instrument_meta.band_id_safe, + ) + ) + ).lower() + + elif image.meta.instrument_type_safe == "SUVI": + filename = ( + "_".join( + ( + image.meta.platform_ID, + image.meta.instrument_type_safe, + image.meta.instrument_meta.wavelength_safe, + ) + ) + ).lower() + + return filename diff --git a/heregoes/navigation.py b/heregoes/navigation.py new file mode 100755 index 0000000..a846f9d --- /dev/null +++ b/heregoes/navigation.py @@ -0,0 +1,362 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +import astropy.units as u +import numpy as np +from astropy import coordinates +from astropy.time import Time + +from heregoes import heregoes_njit, orbital, util + + +class ABINavigation: + """ + This is a class for GOES-R ABI navigation routines using an NCMeta object to access netCDF metadata. + The routines may be constrained to a single pixel by `index`, or to a single location by providing `lat_deg` and `lon_deg` (degrees). + All calculations return 32-bit floating point NumPy arrays which should be accurate enough for most applications at this scale. + + The following quantities are always generated upon instantiation: + - Instrument scanning angle (`y_rad`, `x_rad`) + - Latitude and longitude of pixels from instrument scanning angle (`lat_deg`, `lon_deg`) + OR index of a single pixel (`index`) from latitude and longitude (degrees) + + These quantities may be generated upon access after instantiation: + - Angles of the satellite vector at the pixel (`sat_za`, `sat_az`) + - Angles of the Sun vector at the pixel (`sun_za`, `sun_az`) + - The effective projected area of the pixel in square meters (`area_m`) + + Arguments: + - `abi_meta`: The NCMeta object formed on a GOES-R ABI L1b Radiance netCDF file + - `hae_m`: The Height Above Ellipsoid (HAE) in meters of the ABI array to correct for terrain height. Default 0.0 (no correction) + - `time`: The time for which the Sun position is valid. The product midpoint time is used if not provided + - `precise_sun`: Whether to calculate solar position using Equation of Time with Pyorbital (`False`, default) or real ephemeris with Astropy (`True`) + - `degrees`: Whether to return calculated Sun/satellite vector angles in radians or degrees. Default `False` + """ + + def __init__( + self, + abi_meta, + index=slice(None, None), + lat_deg=None, + lon_deg=None, + hae_m=0.0, + time=None, + precise_sun=False, + degrees=False, + ): + + self.abi_meta = abi_meta + self.index = index + self.hae_m = np.atleast_1d(hae_m).astype(np.float32) + self.time = time + self.precise_sun = precise_sun + self.degrees = degrees + + self._sat_za = None + self._sat_az = None + self._sun_za = None + self._sun_az = None + self._area_m = None + + if self.index == slice(None, None): + self.x_rad, self.y_rad = np.meshgrid( + self.abi_meta.instrument_meta.projection_x_coordinate, + self.abi_meta.instrument_meta.projection_y_coordinate, + ) + + else: + self.x_rad = np.atleast_1d( + self.abi_meta.instrument_meta.projection_x_coordinate[self.index[1]] + ) + self.y_rad = np.atleast_1d( + self.abi_meta.instrument_meta.projection_y_coordinate[self.index[0]] + ) + + if lat_deg is None or lon_deg is None: + self.lat_deg, self.lon_deg = self.navigate( + self.y_rad, + self.x_rad, + lon_origin=self.abi_meta.instrument_meta.longitude_of_projection_origin, + r_eq=self.abi_meta.instrument_meta.semi_major_axis, + r_pol=self.abi_meta.instrument_meta.semi_minor_axis, + sat_height=self.abi_meta.instrument_meta.perspective_point_height, + ) + + if self.hae_m.shape != self.lat_deg.shape: + self.hae_m = np.full(self.lat_deg.shape, self.hae_m, dtype=np.float32) + + # correct for terrain parallax if HAE is provided + if (self.hae_m != 0.0).any() == True: + + self.y_rad, self.x_rad = self.reverse_navigate( + self.lat_deg, + self.lon_deg, + lon_origin=self.abi_meta.instrument_meta.longitude_of_projection_origin, + r_eq=self.abi_meta.instrument_meta.semi_major_axis, + r_pol=self.abi_meta.instrument_meta.semi_minor_axis, + sat_height=self.abi_meta.instrument_meta.perspective_point_height, + feature_height=self.hae_m, + ) + self.lat_deg, self.lon_deg = self.navigate( + self.y_rad, + self.x_rad, + lon_origin=self.abi_meta.instrument_meta.longitude_of_projection_origin, + r_eq=self.abi_meta.instrument_meta.semi_major_axis, + r_pol=self.abi_meta.instrument_meta.semi_minor_axis, + sat_height=self.abi_meta.instrument_meta.perspective_point_height, + ) + + else: + self.lat_deg = np.atleast_1d(lat_deg) + self.lon_deg = np.atleast_1d(lon_deg) + + derived_y_rad, derived_x_rad = self.reverse_navigate( + self.lat_deg, + self.lon_deg, + lon_origin=self.abi_meta.instrument_meta.longitude_of_projection_origin, + r_eq=self.abi_meta.instrument_meta.semi_major_axis, + r_pol=self.abi_meta.instrument_meta.semi_minor_axis, + sat_height=self.abi_meta.instrument_meta.perspective_point_height, + feature_height=self.hae_m, + ) + self.index = util.nearest_2d( + self.y_rad, self.x_rad, derived_y_rad, derived_x_rad + ) + self.y_rad = derived_y_rad + self.x_rad = derived_x_rad + + if self.time is None: + self.time = self.abi_meta.instrument_meta.midpoint_time + + @property + def sat_za(self): + if self._sat_za is None: + self._calc_sat() + + return self._sat_za + + @sat_za.setter + def sat_za(self, value): + self._sat_za = value + + @property + def sat_az(self): + if self._sat_az is None: + self._calc_sat() + + return self._sat_az + + @sat_az.setter + def sat_az(self, value): + self._sat_az = value + + @property + def sun_za(self): + if self._sun_za is None: + self._calc_sun() + + return self._sun_za + + @sun_za.setter + def sun_za(self, value): + self._sun_za = value + + @property + def sun_az(self): + if self._sun_az is None: + self._calc_sun() + + return self._sun_az + + @sun_az.setter + def sun_az(self, value): + self._sun_az = value + + @property + def area_m(self): + if self._area_m is None: + self._area_m = self.pixel_area( + self.y_rad, + self.x_rad, + self.abi_meta.instrument_meta.semi_major_axis, + self.abi_meta.instrument_meta.perspective_point_height, + self.abi_meta.instrument_meta.ifov, + ) + + return self._area_m + + @area_m.setter + def area_m(self, value): + self._area_m = value + + def _calc_sat(self): + self._sat_az, self._sat_za = orbital.get_observer_look( + sat_lon=np.atleast_1d( + self.abi_meta.instrument_meta.nominal_satellite_subpoint_lon + ), + sat_lat=np.atleast_1d( + self.abi_meta.instrument_meta.nominal_satellite_subpoint_lat + ), + sat_alt=np.atleast_1d( + self.abi_meta.instrument_meta.nominal_satellite_height + ), + jdays2000=orbital.jdays2000(self.time), + lon=self.lon_deg, + lat=self.lat_deg, + alt=self.hae_m / 1000.0, + ) + + # normalize azimuth to North-clockwise convention between 0 and 2pi + self._sat_az = orbital.norm_az(self._sat_az) + # pyorbital functions output elevation/altitude, convert to zenith angle + self._sat_za = orbital.el2za(self._sat_za) + + if self.degrees: + self._sat_az = util.rad2deg(self._sat_az) + self._sat_za = util.rad2deg(self._sat_za) + + def _calc_sun(self): + if self.precise_sun: + earth_position = coordinates.EarthLocation.from_geodetic( + lat=self.lat_deg * u.deg, + lon=self.lon_deg * u.deg, + height=self.hae_m * u.m, + ellipsoid="GRS80", + ) + sun_position = coordinates.get_sun(Time(self.time)).transform_to( + coordinates.AltAz(obstime=Time(self.time), location=earth_position) + ) + self._sun_az = np.atleast_1d(sun_position.az.rad).astype(np.float32) + self._sun_za = np.atleast_1d(sun_position.alt.rad).astype(np.float32) + + else: + self._sun_za, self._sun_az = orbital.get_alt_az( + jdays2000=orbital.jdays2000(self.time), + lon=self.lon_deg, + lat=self.lat_deg, + ) + + # normalize azimuth to North-clockwise convention between 0 and 2pi + self._sun_az = orbital.norm_az(self._sun_az) + # pyorbital functions output elevation/altitude, convert to zenith angle + self._sun_za = orbital.el2za(self._sun_za) + + if self.degrees: + self._sun_az = util.rad2deg(self._sun_az) + self._sun_za = util.rad2deg(self._sun_za) + + @staticmethod + @heregoes_njit + def navigate(y_rad, x_rad, lon_origin, r_eq, r_pol, sat_height): + # navigates instrument scanning angle to latitude and longitude + # following 7.1.2.8.1 in the PUG Volume 4: https://www.goes-r.gov/users/docs/PUG-GRB-vol4.pdf + + H = sat_height + r_eq + + lambda_0 = np.deg2rad(lon_origin) + + a = np.square(np.sin(x_rad)) + ( + np.square(np.cos(x_rad)) + * ( + np.square(np.cos(y_rad)) + + (((np.square(r_eq)) / (np.square(r_pol))) * np.square(np.sin(y_rad))) + ) + ) + b = -2.0 * H * np.cos(x_rad) * np.cos(y_rad) + c = np.square(H) - np.square(r_eq) + + r_s = (-b - np.sqrt((np.square(b)) - (4.0 * a * c))) / (2.0 * a) + + s_x = r_s * np.cos(x_rad) * np.cos(y_rad) + s_y = -r_s * np.sin(x_rad) + s_z = r_s * np.cos(x_rad) * np.sin(y_rad) + + lat_deg = np.rad2deg( + np.arctan( + ((np.square(r_eq)) / (np.square(r_pol))) + * ((s_z / np.sqrt((np.square((H - s_x))) + (np.square(s_y))))) + ) + ) + lon_deg = np.rad2deg(lambda_0 - np.arctan(s_y / (H - s_x))) + + return np.atleast_1d(lat_deg).astype(np.float32), np.atleast_1d(lon_deg).astype( + np.float32 + ) + + @staticmethod + @heregoes_njit + def reverse_navigate( + lat_deg, lon_deg, lon_origin, r_eq, r_pol, sat_height, feature_height + ): + # navigates latitude and longitude to instrument scanning angle + # following 7.1.2.8.2 in the PUG Volume 4: https://www.goes-r.gov/users/docs/PUG-GRB-vol4.pdf + + phi = np.deg2rad(lat_deg) + lambda_ = np.deg2rad(lon_deg) + + e = 0.0818191910435 + + H = sat_height + r_eq + + lambda_0 = np.deg2rad(lon_origin) + + phi_c = np.arctan((np.square(r_pol) / np.square(r_eq)) * np.tan(phi)) + + r_c = r_pol / np.sqrt(1 - np.square(e) * np.square(np.cos(phi_c))) + r_c -= feature_height + + s_x = H - r_c * np.cos(phi_c) * np.cos(lambda_ - lambda_0) + s_y = -r_c * np.cos(phi_c) * np.sin(lambda_ - lambda_0) + s_z = r_c * np.sin(phi_c) + + y_rad = np.arctan(s_z / s_x) + x_rad = np.arcsin( + -s_y / np.sqrt(np.square(s_x) + np.square(s_y) + np.square(s_z)) + ) + + return np.atleast_1d(y_rad).astype(np.float32), np.atleast_1d(x_rad).astype( + np.float32 + ) + + @staticmethod + @heregoes_njit + def pixel_area(y_rad, x_rad, semi_major_axis, perspective_point_height, ifov): + # returns the effective area of a pixel in meters + + r = semi_major_axis + sh = perspective_point_height + beta = ifov + + # https://doi.org/10.1017/CBO9781139029346.005 eqs. 3.10 a-b + # cross-track (N-S) + alpha_c = y_rad + delta = np.arcsin(((sh + r) / r) * np.sin(alpha_c)) - alpha_c + Lc = 2 * (((r * np.sin(delta)) / np.sin(alpha_c)) * np.tan(beta / 2.0)) + + # https://doi.org/10.1017/CBO9781139029346.005 eqs. 3.7 - 3.9 + # along-track (W-E) + alpha_a = x_rad + alpha_a1 = alpha_a - beta / 2.0 + alpha_a2 = alpha_a + beta / 2.0 + L1 = r * (np.arcsin(((sh + r) / r) * np.sin(alpha_a1)) - alpha_a1) + L2 = r * (np.arcsin(((sh + r) / r) * np.sin(alpha_a2)) - alpha_a2) + La = L2 - L1 + + return np.atleast_1d(Lc * La).astype(np.float32) diff --git a/heregoes/orbital.py b/heregoes/orbital.py new file mode 100755 index 0000000..d3732c2 --- /dev/null +++ b/heregoes/orbital.py @@ -0,0 +1,231 @@ +# Copyright (c) 2011, 2012, 2013, 2014, 2015. + +# Author(s): + +# Esben S. Nielsen +# Adam Dybbroe +# Martin Raspaud + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +""" +Contains orbital and astronomy routines copied from Pyorbital v1.7.1 (GPLv3) (https://github.com/pytroll/pyorbital) +and modified to use the Numba @njit compiler +""" + +import datetime + +import numpy as np + +from heregoes import heregoes_njit_noparallel + + +F = 1 / 298.257223563 # Earth flattening WGS-84 +A = 6378.137 # WGS84 Equatorial radius +MFACTOR = 7.292115E-5 + + +########################################################################### +#############################Here GOES helpers############################# + +def jdays2000(utc_time): + #returns fractional days since J2000 epoch + j2000 = datetime.datetime(2000, 1, 1, 12, 0, 0, 0, tzinfo=datetime.timezone.utc) + return (utc_time - j2000).total_seconds() / 86400 + + +@heregoes_njit_noparallel +def norm_az(az_rad): + return np.atleast_1d((az_rad + (2.0 * np.pi)) % (2.0 * np.pi)).astype(np.float32) + + +@heregoes_njit_noparallel +def el2za(el_rad): + return np.atleast_1d(np.pi / 2.0 - el_rad).astype(np.float32) + + +########################################################################### +##########################Modified Pyorbital code########################## + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L110 +def _local_hour_angle(jdays2000, longitude, right_ascension): + """Hour angle at *utc_time* for the given *longitude* and + *right_ascension* + longitude in radians + """ + return _lmst(jdays2000, longitude) - right_ascension + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L66 +def _lmst(jdays2000, longitude): + """Local mean sidereal time, computed from *utc_time* and *longitude*. + In radians. + """ + return gmst(jdays2000) + longitude + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L54 +def gmst(jdays2000): + """Greenwich mean sidereal utc_time, in radians. + As defined in the AIAA 2006 implementation: + http://www.celestrak.com/publications/AIAA/2006-6753/ + """ + ut1 = jdays2000 / 36525.0 + theta = 67310.54841 + ut1 * (876600 * 3600.0 + 8640184.812866 + ut1 * + (0.093104 - ut1 * 6.2 * 10.0e-6)) + return np.deg2rad(theta / 240.0) % (2.0 * np.pi) + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L91 +def sun_ra_dec(jdays2000): + """Right ascension and declination of the sun at *utc_time*. + """ + jdate = jdays2000 / 36525.0 + eps = np.deg2rad(23.0 + 26.0 / 60.0 + 21.448 / 3600.0 - + (46.8150 * jdate + 0.00059 * jdate * jdate - + 0.001813 * jdate * jdate * jdate) / 3600.0) + eclon = sun_ecliptic_longitude(jdays2000) + x__ = np.cos(eclon) + y__ = np.cos(eps) * np.sin(eclon) + z__ = np.sin(eps) * np.sin(eclon) + r__ = np.sqrt(1.0 - z__ * z__) + # sun declination + declination = np.arctan2(z__, r__) + # right ascension + right_ascension = 2.0 * np.arctan2(y__, (x__ + r__)) + return right_ascension, declination + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L73 +def sun_ecliptic_longitude(jdays2000): + """Ecliptic longitude of the sun at *utc_time*. + """ + jdate = jdays2000 / 36525.0 + # mean anomaly, rad + m_a = np.deg2rad(357.52910 + + 35999.05030 * jdate - + 0.0001559 * jdate * jdate - + 0.00000048 * jdate * jdate * jdate) + # mean longitude, deg + l_0 = 280.46645 + 36000.76983 * jdate + 0.0003032 * jdate * jdate + d_l = ((1.914600 - 0.004817 * jdate - 0.000014 * jdate * jdate) * np.sin(m_a) + + (0.019993 - 0.000101 * jdate) * np.sin(2.0 * m_a) + 0.000290 * np.sin(3.0 * m_a)) + # true longitude, deg + l__ = l_0 + d_l + return np.deg2rad(l__) + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L174 +def observer_position(jdays2000, lon, lat, alt): + """Calculate observer ECI position. + http://celestrak.com/columns/v02n03/ + """ + + lon = np.deg2rad(lon) + lat = np.deg2rad(lat) + + theta = (gmst(jdays2000) + lon) % (2.0 * np.pi) + c = 1.0 / np.sqrt(1.0 + F * (F - 2.0) * np.sin(lat)**2.0) + sq = c * (1.0 - F)**2.0 + + achcp = (A * c + alt) * np.cos(lat) + x = achcp * np.cos(theta) # kilometers + y = achcp * np.sin(theta) + z = (A * sq + alt) * np.sin(lat) + + vx = -MFACTOR * y # kilometers/second + vy = MFACTOR * x + vz = 0.0 + + return (x, y, z), (vx, vy, vz) + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/astronomy.py#L118 +def get_alt_az(jdays2000, lon, lat): + """Return sun altitude and azimuth from *utc_time*, *lon*, and *lat*. + lon,lat in degrees + The returned angles are given in radians. + """ + lon = np.deg2rad(lon) + lat = np.deg2rad(lat) + + ra_, dec = sun_ra_dec(jdays2000) + h__ = _local_hour_angle(jdays2000, lon, ra_) + + alt = np.arcsin(np.sin(lat) * np.sin(dec) + + np.cos(lat) * np.cos(dec) * np.cos(h__)) + + az = np.arctan2(-np.sin(h__), (np.cos(lat) * np.tan(dec) - + np.sin(lat) * np.cos(h__))) + + return alt, az + + +@heregoes_njit_noparallel +#https://github.com/pytroll/pyorbital/blob/v1.7.1/pyorbital/orbital.py#L244 +def get_observer_look(sat_lon, sat_lat, sat_alt, jdays2000, lon, lat, alt): + """Calculate observers look angle to a satellite. + http://celestrak.com/columns/v02n02/ + :utc_time: Observation time (datetime object) + :lon: Longitude of observer position on ground in degrees east + :lat: Latitude of observer position on ground in degrees north + :alt: Altitude above sea-level (geoid) of observer position on ground in km + :return: (Azimuth, Elevation) + """ + (pos_x, pos_y, pos_z), (vel_x, vel_y, vel_z) = observer_position( + jdays2000, sat_lon, sat_lat, sat_alt) + + (opos_x, opos_y, opos_z), (ovel_x, ovel_y, ovel_z) = \ + observer_position(jdays2000, lon, lat, alt) + + lon = np.deg2rad(lon) + lat = np.deg2rad(lat) + + theta = (gmst(jdays2000) + lon) % (2.0 * np.pi) + + rx = pos_x - opos_x + ry = pos_y - opos_y + rz = pos_z - opos_z + + sin_lat = np.sin(lat) + cos_lat = np.cos(lat) + sin_theta = np.sin(theta) + cos_theta = np.cos(theta) + + top_s = sin_lat * cos_theta * rx + \ + sin_lat * sin_theta * ry - cos_lat * rz + top_e = -sin_theta * rx + cos_theta * ry + top_z = cos_lat * cos_theta * rx + \ + cos_lat * sin_theta * ry + sin_lat * rz + + # Azimuth is undefined when elevation is 90 degrees, 180 (pi) will be returned. + az_ = np.arctan2(-top_e, top_s) + np.pi + az_ = np.mod(az_, 2.0 * np.pi) # Needed on some platforms + + rg_ = np.sqrt(rx * rx + ry * ry + rz * rz) + + top_z_divided_by_rg_ = top_z / rg_ + + # Due to rounding top_z can be larger than rg_ (when el_ ~ 90). + top_z_divided_by_rg_ = np.clip(top_z_divided_by_rg_, np.nanmin(top_z_divided_by_rg_), 1.0) + el_ = np.arcsin(top_z_divided_by_rg_) + + return az_, el_ diff --git a/heregoes/projection.py b/heregoes/projection.py new file mode 100755 index 0000000..c794aad --- /dev/null +++ b/heregoes/projection.py @@ -0,0 +1,277 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +import uuid + +import numpy as np +from osgeo import gdal +from pyproj import Transformer, crs + +from heregoes import GDAL_PARALLEL, NUM_CPUS + + +class ABIProjection: + """ + This is a class for projecting NumPy arrays to and from the ABI fixed grid in memory with GDAL. + + Arguments: + - `abi_meta`: The NCMeta object formed on a GOES-R ABI L1b Radiance netCDF file + + Class methods: + - `resample2abi(latlon_array)` resamples an array with WGS84 lat/lon projection to the ABI fixed grid domain. Returns the resampled array if convert_np is `True` (default), otherwise returns the GDAL dataset + - `resample2latlon(abi_array)` resamples an ABI array from the ABI fixed grid domain to WGS84 lat/lon projection. Returns the resampled array if convert_np is `True` (default), otherwise returns the GDAL dataset + - `resample2cog(abi_array, cog_filepath)` resamples an ABI array from the ABI fixed grid domain to WGS84 lat/lon projection and saves to a Cloud Optimized GeoTIFF (COG) at the filepath `cog_filepath` + """ + + def __init__(self, abi_meta): + + self.abi_meta = abi_meta + h = self.abi_meta.instrument_meta.perspective_point_height + a = self.abi_meta.instrument_meta.semi_major_axis + b = self.abi_meta.instrument_meta.semi_minor_axis + f = 1 / self.abi_meta.instrument_meta.inverse_flattening + lat_0 = self.abi_meta.instrument_meta.latitude_of_projection_origin + lon_0 = self.abi_meta.instrument_meta.longitude_of_projection_origin + sweep = self.abi_meta.instrument_meta.sweep_angle_axis + + ul_x = self.abi_meta.instrument_meta.x_image_bounds[0] * h + ul_y = self.abi_meta.instrument_meta.y_image_bounds[0] * h + lr_x = self.abi_meta.instrument_meta.x_image_bounds[1] * h + lr_y = self.abi_meta.instrument_meta.y_image_bounds[1] * h + self.abi_bounds = [ul_x, ul_y, lr_x, lr_y] + + self._intermediate_format = "GTiff" + self._intermediate_gdal_options = ["COMPRESS=NONE", f"NUM_THREADS={NUM_CPUS}"] + # only used for file outputs + self._final_gdal_options = [] + + if self.abi_meta.instrument_meta.band_id == "Color": + self._intermediate_gdal_options += ["PHOTOMETRIC=RGB"] + self._final_gdal_options += ["PHOTOMETRIC=RGB"] + + self.latlon_srs = "+proj=latlon +ellps=WGS84 +datum=WGS84 +no_defs" + self.abi_srs = f"+proj=geos +h={h} +a={a} +b={b} +f={f} +lat_0={lat_0} +lon_0={lon_0} +x_0=0.0 y_0=0.0 +sweep={sweep} +ellps=GRS80 +no_defs" + + # maps NumPy to GDAL data types + self._np_gdal_typemap = { + "int8": 1, + "complex128": 11, + "complex64": 10, + "float64": 7, + "float32": 6, + "int16": 3, + "int32": 5, + "uint8": 1, + "uint16": 2, + "uint32": 4, + } + + def _make_dataset(self, array, reverse_channels=True): + # creates a GDAL dataset to store an n-d NumPy array in memory. + # if the array has more than 2 dimensions, each dimension is stored as a GDAL raster band + # by default we reverse the order of band loading to reconcile OpenCV using BGR and GDAL using RGB + + if array.ndim > 2: + bands = array.ndim + else: + bands = 1 + + drv = gdal.GetDriverByName("MEM") + ds = drv.Create( + "", + xsize=array.shape[1], + ysize=array.shape[0], + bands=bands, + eType=self._np_gdal_typemap[array.dtype.name], + ) + + if reverse_channels: + band_range = reversed(range(0, bands)) + else: + band_range = range(0, bands) + + for i in band_range: + slc = [slice(None)] * bands + if bands > 1: + slc[-1] = i + ds.GetRasterBand(bands - i).WriteArray(array[tuple(slc)]) + ds.GetRasterBand(bands - i).FlushCache() + + return ds + + def _gdal2numpy(self, ds, reverse_channels=True): + # by default we reverse the order of band loading to reconcile OpenCV using BGR and GDAL using RGB + gdal_bands = ds.RasterCount + + if gdal_bands > 1: + if reverse_channels: + band_range = reversed(range(0, gdal_bands)) + else: + band_range = range(0, gdal_bands) + + np_image = [] + for i in band_range: + np_image.append(np.array(ds.GetRasterBand(i + 1).ReadAsArray())) + + np_image = np.stack(np_image, axis=2) + + else: + np_image = np.array(ds.GetRasterBand(1).ReadAsArray()) + + return np_image + + def _resample(self, ds, translate_options, warp_options): + # use a UUID so that in-memory rasters are unique for multiprocessing + unique = uuid.uuid4() + gdal_mem_translate = f"/vsimem/gdal_mem_translate_{unique}.tif" + gdal_mem_warp = f"/vsimem/gdal_mem_warp_{unique}.tif" + + # georeference + gdal.Translate(gdal_mem_translate, ds, options=translate_options) + del ds + + # project + gdal.Warp(gdal_mem_warp, gdal_mem_translate, options=warp_options) + gdal.Unlink(gdal_mem_translate) + resampled = gdal.Open(gdal_mem_warp, 1) + gdal.Unlink(gdal_mem_warp) + + return resampled + + def _cog_overviews(self, max_num=10, min_size=256): + # creates a list of overviews up to `max_num` in length as small as `min_size` + y = self.abi_meta.instrument_meta.y + x = self.abi_meta.instrument_meta.x + + powers = [2] # make at least 1 overview at half size + for i in range(2, max_num + 1): + power = 2**i + if power <= max(y, x) / min_size: + powers.append(power) + + return powers + + def resample2abi( + self, + latlon_array, + latlon_bounds=[-180.0, 90.0, 180.0, -90.0], + interpolation="nearest", + convert_np=True, + ): + # GDAL bounds are ul_x, ul_y, lr_x, lr_y + ds = self._make_dataset(latlon_array) + + translate_options = gdal.TranslateOptions( + outputSRS=self.latlon_srs, + outputBounds=latlon_bounds, + format=self._intermediate_format, + resampleAlg=interpolation.lower(), + creationOptions=self._intermediate_gdal_options, + ) + warp_options = gdal.WarpOptions( + srcSRS=self.latlon_srs, + dstSRS=self.abi_srs, + outputBounds=self.abi_bounds, + width=self.abi_meta.instrument_meta.x, + height=self.abi_meta.instrument_meta.y, + format=self._intermediate_format, + resampleAlg=interpolation.lower(), + creationOptions=self._intermediate_gdal_options, + multithread=GDAL_PARALLEL, + ) + + resampled = self._resample(ds, translate_options, warp_options) + del ds + + if convert_np: + resampled = np.flipud(self._gdal2numpy(resampled)) + + return resampled + + def resample2latlon(self, abi_array, interpolation="bilinear", convert_np=True): + ds = self._make_dataset(abi_array) + + translate_options = gdal.TranslateOptions( + outputSRS=self.abi_srs, + outputBounds=self.abi_bounds, + format=self._intermediate_format, + resampleAlg=interpolation.lower(), + creationOptions=self._intermediate_gdal_options, + ) + warp_options = gdal.WarpOptions( + srcSRS=self.abi_srs, + dstSRS=self.latlon_srs, + format=self._intermediate_format, + resampleAlg=interpolation.lower(), + creationOptions=self._intermediate_gdal_options, + multithread=GDAL_PARALLEL, + ) + + resampled = self._resample(ds, translate_options, warp_options) + del ds + + if convert_np: + resampled = self._gdal2numpy(resampled) + + return resampled + + def resample2cog( + self, + abi_array, + cog_filepath, + interpolation="lanczos", + gdal_compression_algo="lzw", + gdal_compression_predictor=2, + ): + resampled = self.resample2latlon( + abi_array, interpolation=interpolation, convert_np=False + ) + + # save COG-compliant GeoTIFF + # https://www.cogeo.org/providers-guide.html + # TODO: use new COG driver in GDAL 3.1 + final_gdal_options = self._final_gdal_options + [ + "COPY_SRC_OVERVIEWS=YES", + "TILED=YES", + f"COMPRESS={gdal_compression_algo}", + f"PREDICTOR={gdal_compression_predictor}", + f"NUM_THREADS={NUM_CPUS}", + ] + gdal.SetConfigOption("COMPRESS_OVERVIEW", gdal_compression_algo.upper()) + gdal.SetConfigOption("PREDICTOR_OVERVIEW", str(gdal_compression_predictor)) + resampled.BuildOverviews(interpolation, self._cog_overviews()) + drv = gdal.GetDriverByName("GTiff") + drv.CreateCopy(str(cog_filepath), resampled, options=final_gdal_options) + + return cog_filepath + + +def egm96_to_grs80(lat, lon, height_above_geoid): + # converts heights above the EGM96 geoid to heights above the GRS80/WGS84 ellipsoid + + wgs84_egm96 = crs.CompoundCRS( + name="WGS 84 + EGM96 height", components=["EPSG:4326", "EPSG:5773"] + ) + grs80 = crs.CRS("+proj=lonlat +ellps=GRS80 +units=m +vunits=m +no_defs") + # needs egm96_15.gtx installed in $ENV/share/proj/egm96_15.gtx. equivalent to the pipeline string: + # "+proj=pipeline +step +proj=unitconvert +xy_in=deg +xy_out=rad +step +proj=vgridshift +grids=egm96_15.gtx +multiplier=1 +step +proj=unitconvert +xy_in=rad +xy_out=deg" + transformer = Transformer.from_crs(crs_from=wgs84_egm96, crs_to=grs80) + + return transformer.transform(lat, lon, height_above_geoid)[2] diff --git a/heregoes/suvi.py b/heregoes/suvi.py new file mode 100755 index 0000000..4fb8d7d --- /dev/null +++ b/heregoes/suvi.py @@ -0,0 +1,45 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Functions for working with SUVI L1b Solar Imagery""" + +import numpy as np + +from heregoes import heregoes_njit, util + + +@heregoes_njit +def rad_bv(radiance, input_min, input_max, asinh_a, output_min, output_max): + # rescale radiance between 0 and 1 based on the estimated minimum and maximum possible values of radiance for a given channel + rad = util.linear_norm( + radiance, old_min=input_min, old_max=input_max, new_min=0.0, new_max=1.0 + ) + rad = np.clip(rad, 0.0, 1.0) + + # perform a non-linear transform between linear stretches + rad = np.arcsinh(rad / asinh_a) / np.arcsinh(1 / asinh_a) + + # rescale transformed radiance for better contrast + rad = util.linear_norm( + rad, old_min=output_min, old_max=output_max, new_min=0.0, new_max=1.0 + ) + rad = np.clip(rad, 0.0, 1.0) + + return util.make_8bit(rad * 255) diff --git a/heregoes/util.py b/heregoes/util.py new file mode 100755 index 0000000..19ebf8e --- /dev/null +++ b/heregoes/util.py @@ -0,0 +1,227 @@ +# Copyright (c) 2020, 2021, 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""NumPy and OpenCV helper functions optimized with Numba where possible""" + +import cv2 +import numpy as np +from numba.np.unsafe.ndarray import to_fixed_tuple + +from heregoes import heregoes_njit, heregoes_njit_noparallel + + +@heregoes_njit +def linear_interp(x1, x2, y1, y2, x): + # Linearly interpolates y at x for x between x1, x2 and y between y1, y2 + return (y1 * (x2 - x) + y2 * (x - x1)) / (x2 - x1) + + +@heregoes_njit +def linear_norm(arr, old_min, old_max, new_min=0.0, new_max=1.0, copy=True): + # Linearly normalizes arr to be between new_min and new_max + if copy: + return np.clip( + (arr - old_min) * ((new_max - new_min) / (old_max - old_min)) + new_min, + new_min, + new_max, + ) + + else: + arr = np.clip( + (arr - old_min) * ((new_max - new_min) / (old_max - old_min)) + new_min, + new_min, + new_max, + ) + return arr + + +def minmax(arr): + return linear_norm(arr, old_min=np.nanmin(arr), old_max=np.nanmax(arr)) + + +def nearest_scale(arr, k): + return cv2.resize(arr, None, fx=k, fy=k, interpolation=cv2.INTER_NEAREST) + + +def x2(arr): + return nearest_scale(arr, k=2) + + +def x4(arr): + return nearest_scale(arr, k=4) + + +@heregoes_njit_noparallel +def window_slice(arr, center_index, outer_radius, inner_radius=0, replace_inner=True): + """ + Returns the square window of array `arr` centered at `center_index` with radius `outer_radius` and diameter `outer_radius` * 2 + 1. + The central value in the window is optionally replaced with np.nan. Additional inner values may be replaced with np.nan by setting `inner_radius`. + """ + + y, x = center_index + window = arr[ + y - outer_radius : y + outer_radius + 1, x - outer_radius : x + outer_radius + 1 + ].copy() + window_center_y = window.shape[0] // 2 + window_center_x = window.shape[1] // 2 + + if replace_inner: + window[ + window_center_y - inner_radius : window_center_y + 1 + inner_radius, + window_center_x - inner_radius : window_center_x + 1 + inner_radius, + ] = np.nan + + return window + + +@heregoes_njit_noparallel +def window_deviation(arr, idx, outer_radius=15, inner_radius=0): + window = window_slice(arr, idx, outer_radius, inner_radius) + mean = np.nanmean(window) + deviation = arr[idx] - mean + + return deviation + + +@heregoes_njit +def fill_border(arr, width, fill=np.nan, copy=True): + # fills a border `width` pixels wide on a 2D array with value `fill` + if copy: + arr = arr.copy() + + arr[0 : int(width) + 1, :] = fill # top + arr[:, 0 : int(width) + 1] = fill # left + arr[-int(width) :, :] = fill # bottom + arr[:, -int(width) :] = fill # right + + return arr + + +@heregoes_njit_noparallel +def round(arr, decimals, dtype): + out = np.empty_like(arr) + return np.around(arr, decimals, out).astype(dtype) + + +@heregoes_njit_noparallel +def rad2deg(arr): + out = np.empty_like(arr) + out = np.rad2deg(arr) + return out + + +@heregoes_njit_noparallel +def deg2rad(arr): + out = np.empty_like(arr) + out = np.deg2rad(arr) + return out + + +@heregoes_njit +def make_8bit(arr): + return np.clip(np.rint(arr), 0, 255).astype(np.uint8) + + +def resize2width(arr, new_width, interp=cv2.INTER_NEAREST): + # resize 2D arr to a new width while maintaining aspect ratio + old_width, old_height = arr.shape + + resize_scaler = new_width / old_width + resize_width = int(np.floor(old_width * resize_scaler)) + resize_height = int(np.floor(old_height * resize_scaler)) + + return cv2.resize(arr, (resize_width, resize_height), interpolation=interp) + + +def resize2height(arr, new_height, interp=cv2.INTER_NEAREST): + # resize 2D arr to a new height while maintaining aspect ratio + old_width, old_height = arr.shape + + resize_scaler = new_height / old_height + resize_width = int(np.floor(old_width * resize_scaler)) + resize_height = int(np.floor(old_height * resize_scaler)) + + return cv2.resize(arr, (resize_width, resize_height), interpolation=interp) + + +@heregoes_njit_noparallel +def crop_center(arr, center_idx, crop_shape): + """ + Returns a crop of `arr` on center coordinate `center_idx` with shape `crop_shape`. + The crop never extends beyond the border of `arr` and always has shape `crop_shape`. + """ + + arr_shape = arr.shape + center_y, center_x = center_idx + + center_y = max(0, min(center_y, arr_shape[0] - (crop_shape[0] // 2 + 1))) + center_x = max(0, min(center_x, arr_shape[1] - (crop_shape[1] // 2 + 1))) + + y1 = max(center_y - crop_shape[0] // 2, 0) + y2 = y1 + crop_shape[0] + + x1 = max(center_x - crop_shape[1] // 2, 0) + x2 = x1 + crop_shape[1] + + return arr[y1:y2, x1:x2].copy() + + +@heregoes_njit +def unravel_index(index, shape): + # copied from: https://github.com/liberTEM/LiberTEM-blobfinder (GPLv3) + sizes = np.zeros(len(shape), dtype=np.int64) + result = np.zeros(len(shape), dtype=np.int64) + sizes[-1] = 1 + for i in range(len(shape) - 2, -1, -1): + sizes[i] = sizes[i + 1] * shape[i + 1] + remainder = index + for i in range(len(shape)): + result[i] = remainder // sizes[i] + remainder %= sizes[i] + return to_fixed_tuple(result, len(shape)) + + +@heregoes_njit_noparallel +def nearest_2d(y_arr, x_arr, target_y, target_x): + """ + Finds the nearest index of a value simultaneously for two arrays `y_arr` and `x_arr` of the same shape. + For example, with a latitude array `y_arr` and longitude array `x_arr`, returns the index of the nearest (lat, lon) match to (`target_y`, `target_x`). + Adapted from: https://github.com/blaylockbk/pyBKB_v3/blob/master/demo/Nearest_lat-lon_Grid.ipynb (MIT) + """ + + if y_arr.shape != x_arr.shape: + return + + if (np.isnan(y_arr) | np.isnan(x_arr)).any() == True: + y_arr = y_arr.copy() + x_arr = x_arr.copy() + + for idx, val in np.ndenumerate(y_arr): + if np.isnan(val): + y_arr[idx] = np.inf + + for idx, val in np.ndenumerate(x_arr): + if np.isnan(val): + x_arr[idx] = np.inf + + return unravel_index( + int(np.argmin(np.maximum(np.abs(y_arr - target_y), np.abs(x_arr - target_x)))), + y_arr.shape, + ) diff --git a/test/heregoes_test.py b/test/heregoes_test.py new file mode 100755 index 0000000..a134491 --- /dev/null +++ b/test/heregoes_test.py @@ -0,0 +1,323 @@ +# Copyright (c) 2022. + +# Author(s): + +# Harry Dove-Robinson +# for Here GOES Radiotelescope (Harry Dove-Robinson & Heidi Neilson) + +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Test cases for checking imagery and navigation outputs""" + +import sys +from pathlib import Path + +import cv2 +import numpy as np + +SCRIPT_PATH = Path(__file__).parent.resolve() +sys.path.append(str(SCRIPT_PATH.parent.resolve())) +from heregoes import ancillary, image, meta, navigation, projection, util + +input_dir = SCRIPT_PATH.joinpath("input") +input_dir.mkdir(parents=True, exist_ok=True) +output_dir = SCRIPT_PATH.joinpath("output") +output_dir.mkdir(parents=True, exist_ok=True) + +for output_file in output_dir.glob("*"): + output_file.unlink() + +ABI_MASK_FILL = True +SUVI_MASK_FILL = False + +# abi +abi_mc01_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C01_G16_s20211691942252_e20211691942310_c20211691942342.nc" +) +abi_mc02_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C02_G16_s20211691942252_e20211691942310_c20211691942334.nc" +) +abi_mc03_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C03_G16_s20211691942252_e20211691942310_c20211691942351.nc" +) +abi_mc04_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C04_G16_s20211691942252_e20211691942310_c20211691942340.nc" +) +abi_mc05_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C05_G16_s20211691942252_e20211691942310_c20211691942347.nc" +) +abi_mc06_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C06_G16_s20211691942252_e20211691942315_c20211691942345.nc" +) +abi_mc07_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C07_G16_s20211691942252_e20211691942321_c20211691942355.nc" +) +abi_mc08_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C08_G16_s20211691942252_e20211691942310_c20211691942357.nc" +) +abi_mc09_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C09_G16_s20211691942252_e20211691942315_c20211691942368.nc" +) +abi_mc10_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C10_G16_s20211691942252_e20211691942322_c20211691942353.nc" +) +abi_mc11_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C11_G16_s20211691942252_e20211691942310_c20211691942348.nc" +) +abi_mc12_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C12_G16_s20211691942252_e20211691942316_c20211691942356.nc" +) +abi_mc13_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C13_G16_s20211691942252_e20211691942322_c20211691942361.nc" +) +abi_mc14_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C14_G16_s20211691942252_e20211691942310_c20211691942364.nc" +) +abi_mc15_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C15_G16_s20211691942252_e20211691942316_c20211691942358.nc" +) +abi_mc16_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadM1-M6C16_G16_s20211691942252_e20211691942322_c20211691942366.nc" +) + +# add a few g16 conuses to test off-earth pixels +abi_cc01_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadC-M6C01_G16_s20211691941174_e20211691943547_c20211691943589.nc" +) +abi_cc02_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadC-M6C02_G16_s20211691941174_e20211691943547_c20211691943571.nc" +) +abi_cc03_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadC-M6C03_G16_s20211691941174_e20211691943547_c20211691943587.nc" +) +abi_cc07_nc = input_dir.joinpath( + "abi/OR_ABI-L1b-RadC-M6C07_G16_s20211691941174_e20211691943558_c20211691944002.nc" +) + +abi_ncs = [ + abi_cc01_nc, + abi_cc02_nc, + abi_cc03_nc, + abi_cc07_nc, + abi_mc01_nc, + abi_mc02_nc, + abi_mc03_nc, + abi_mc04_nc, + abi_mc05_nc, + abi_mc06_nc, + abi_mc07_nc, + abi_mc08_nc, + abi_mc09_nc, + abi_mc10_nc, + abi_mc11_nc, + abi_mc12_nc, + abi_mc13_nc, + abi_mc14_nc, + abi_mc15_nc, + abi_mc16_nc, +] + +# suvi +suvi_094_nc = input_dir.joinpath( + "suvi/OR_SUVI-L1b-Fe093_G16_s20203160623501_e20203160623511_c20203160624091.nc" +) +suvi_131_nc = input_dir.joinpath( + "suvi/OR_SUVI-L1b-Fe131_G16_s20203160623001_e20203160623011_c20203160623196.nc" +) +suvi_171_nc = input_dir.joinpath( + "suvi/OR_SUVI-L1b-Fe171_G16_s20203160624201_e20203160624211_c20203160624396.nc" +) +suvi_195_nc = input_dir.joinpath( + "suvi/OR_SUVI-L1b-Fe195_G16_s20203160623301_e20203160623311_c20203160623491.nc" +) +suvi_284_nc = input_dir.joinpath( + "suvi/OR_SUVI-L1b-Fe284_G16_s20203160624501_e20203160624511_c20203160625090.nc" +) +suvi_304_nc = input_dir.joinpath( + "suvi/OR_SUVI-L1b-He303_G16_s20203160622501_e20203160622511_c20203160623090.nc" +) +suvi_ncs = [ + suvi_094_nc, + suvi_131_nc, + suvi_171_nc, + suvi_195_nc, + suvi_284_nc, + suvi_304_nc, +] + + +def test_abi_image(): + for abi_nc in abi_ncs: + abi_image = image.ABIImage(abi_nc, gamma=0.75, mask_fill=ABI_MASK_FILL) + + assert abi_image.rad.dtype == np.float32 + assert abi_image.cmi.dtype == np.float32 + assert abi_image.bv.dtype == np.uint8 + + abi_image.save(output_dir.joinpath(meta.image_filename(abi_image) + ".jpg")) + + abi_rgb = image.ABINaturalRGB( + abi_mc02_nc, abi_mc03_nc, abi_mc01_nc, gamma=0.75, mask_fill=ABI_MASK_FILL + ) + + assert abi_rgb.bv.dtype == np.uint8 + + abi_rgb.save(output_dir.joinpath(meta.image_filename(abi_rgb) + ".jpeg")) + + abi_rgb = image.ABINaturalRGB( + abi_cc02_nc, abi_cc03_nc, abi_cc01_nc, gamma=0.75, mask_fill=ABI_MASK_FILL + ) + + assert abi_rgb.bv.dtype == np.uint8 + + abi_rgb.save(output_dir.joinpath(meta.image_filename(abi_rgb) + ".jpeg")) + + +def test_suvi_image(): + for suvi_nc in suvi_ncs: + suvi_image = image.SUVIImage(suvi_nc, mask_fill=SUVI_MASK_FILL) + + assert suvi_image.rad.dtype == np.float32 + assert suvi_image.bv.dtype == np.uint8 + + suvi_image.save(output_dir.joinpath(meta.image_filename(suvi_image) + ".png")) + + +def test_projection(): + abi_rgb = image.ABINaturalRGB( + abi_mc02_nc, + abi_mc03_nc, + abi_mc01_nc, + upscale=True, + gamma=1.0, + mask_fill=ABI_MASK_FILL, + ) + abi_projection = projection.ABIProjection(abi_rgb.meta) + abi_rgb = abi_projection.resample2cog( + abi_rgb.bv, output_dir.joinpath(meta.image_filename(abi_rgb) + ".tiff") + ) + + abi_rgb = image.ABINaturalRGB( + abi_cc02_nc, abi_cc03_nc, abi_cc01_nc, gamma=0.75, mask_fill=ABI_MASK_FILL + ) + abi_projection = projection.ABIProjection(abi_rgb.meta) + abi_rgb = abi_projection.resample2cog( + abi_rgb.bv, output_dir.joinpath(meta.image_filename(abi_rgb) + ".tiff") + ) + + +def test_navigation(): + idx = (92, 42) + + abi_meta = meta.NCMeta(abi_mc07_nc) + + abi_nav = navigation.ABINavigation(abi_meta, precise_sun=False) + + assert abi_nav.lat_deg.dtype == np.float32 + assert abi_nav.lon_deg.dtype == np.float32 + assert abi_nav.lat_deg[idx] == 44.73149490356445 + assert abi_nav.lon_deg[idx] == -93.01798248291016 + + assert abi_nav.area_m.dtype == np.float32 + assert abi_nav.area_m[idx] == 4398247.5 + + assert abi_nav.sat_za.dtype == np.float32 + assert abi_nav.sat_az.dtype == np.float32 + assert abi_nav.sat_za[idx] == 0.9509874582290649 + assert abi_nav.sat_az[idx] == 2.7129034996032715 + + assert abi_nav.sun_za.dtype == np.float32 + assert abi_nav.sun_az.dtype == np.float32 + assert abi_nav.sun_za[idx] == 0.4886804521083832 + assert abi_nav.sun_az[idx] == 3.9760777950286865 + + # test on astropy sun + abi_nav = navigation.ABINavigation(abi_meta, index=idx, precise_sun=True) + + assert abi_nav.sun_za.dtype == np.float32 + assert abi_nav.sun_az.dtype == np.float32 + assert abi_nav.sun_za[0] == 0.4887488782405853 + assert abi_nav.sun_az[0] == 3.976273775100708 + + # test with height correction + abi_nav = navigation.ABINavigation(abi_meta, precise_sun=False, hae_m=1.2345678) + + assert abi_nav.lat_deg.dtype == np.float32 + assert abi_nav.lon_deg.dtype == np.float32 + assert abi_nav.lat_deg[idx] == 44.73153305053711 + assert abi_nav.lon_deg[idx] == -93.01801300048828 + + assert abi_nav.area_m.dtype == np.float32 + assert abi_nav.area_m[idx] == 4398248.0 + + assert abi_nav.sat_za.dtype == np.float32 + assert abi_nav.sat_az.dtype == np.float32 + assert abi_nav.sat_za[idx] == 0.9509882926940918 + assert abi_nav.sat_az[idx] == 2.7129032611846924 + + assert abi_nav.sun_za.dtype == np.float32 + assert abi_nav.sun_az.dtype == np.float32 + assert abi_nav.sun_za[idx] == 0.4886806607246399 + assert abi_nav.sun_az[idx] == 3.976076126098633 + + # test with astropy sun and height correction + abi_nav = navigation.ABINavigation( + abi_meta, index=idx, precise_sun=True, hae_m=1.2345678 + ) + + assert abi_nav.sun_za.dtype == np.float32 + assert abi_nav.sun_az.dtype == np.float32 + assert abi_nav.sun_za[0] == 0.48874911665916443 + assert abi_nav.sun_az[0] == 3.9762721061706543 + + # test on a navigation dataset that does not contain NaNs (G16 meso) + abi_nav = navigation.ABINavigation( + abi_meta, lat_deg=44.72609499, lon_deg=-93.02279070 + ) + assert abi_nav.index == idx + + # test on a navigation dataset that contains NaNs (G16 CONUS) + abi_meta = meta.NCMeta(abi_cc07_nc) + abi_nav = navigation.ABINavigation( + abi_meta, lat_deg=44.72609499, lon_deg=-93.02279070 + ) + assert abi_nav.index == (192, 1152) + + +def test_ancillary(): + abi_meta = meta.NCMeta(abi_cc07_nc) + water = ancillary.WaterMask(abi_meta, rivers=True) + + assert water.data["water_mask"].dtype == bool + assert water.data["water_mask"].shape == ( + abi_meta.instrument_meta.y, + abi_meta.instrument_meta.x, + ) + + water.save(save_dir=output_dir) + cv2.imwrite(str(output_dir.joinpath("water.png")), water.data["water_mask"] * 255) + + iremis = ancillary.IREMIS(abi_meta) + + assert iremis.data["c07_land_emissivity"].dtype == np.float32 + assert iremis.data["c07_land_emissivity"].shape == ( + abi_meta.instrument_meta.y, + abi_meta.instrument_meta.x, + ) + + iremis.save(save_dir=output_dir) + cv2.imwrite( + str(output_dir.joinpath("iremis.png")), + util.minmax(iremis.data["c07_land_emissivity"]) * 255, + )

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