|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "[](https://colab.research.google.com/github/opengeos/HyperCoast/blob/main/docs/examples/acolite_emit.ipynb)\n", |
| 8 | + "\n", |
| 9 | + "# EMIT Atmospheric Correction with Acolite\n", |
| 10 | + "\n", |
| 11 | + "\n", |
| 12 | + "[Acolite](https://github.com/acolite/acolite) can perform atmospheric correction on a variety of satellite sensors, including Landsat, Sentinel-2, PACE, EMIT, AVIRIS, among others. For more information on how to use Acolite, please refer to the [Acolite manual](https://github.com/acolite/acolite/releases/download/20231023.0/acolite_manual_20231023.pdf.)\n", |
| 13 | + "\n", |
| 14 | + "\n", |
| 15 | + "In this example, we will use Acolite to perform atmospheric correction on an EMIT image." |
| 16 | + ] |
| 17 | + }, |
| 18 | + { |
| 19 | + "cell_type": "code", |
| 20 | + "execution_count": null, |
| 21 | + "metadata": {}, |
| 22 | + "outputs": [], |
| 23 | + "source": [ |
| 24 | + "# %pip install \"hypercoast[extra]\"" |
| 25 | + ] |
| 26 | + }, |
| 27 | + { |
| 28 | + "cell_type": "markdown", |
| 29 | + "metadata": {}, |
| 30 | + "source": [ |
| 31 | + "## Import libraries" |
| 32 | + ] |
| 33 | + }, |
| 34 | + { |
| 35 | + "cell_type": "code", |
| 36 | + "execution_count": null, |
| 37 | + "metadata": {}, |
| 38 | + "outputs": [], |
| 39 | + "source": [ |
| 40 | + "import os\n", |
| 41 | + "import hypercoast" |
| 42 | + ] |
| 43 | + }, |
| 44 | + { |
| 45 | + "cell_type": "markdown", |
| 46 | + "metadata": {}, |
| 47 | + "source": [ |
| 48 | + "## Specify input data\n", |
| 49 | + "\n", |
| 50 | + "We will use the following input data:\n", |
| 51 | + "\n", |
| 52 | + "- EMIT_L1B_RAD_001_20230220T181144_2305112_013.nc\n", |
| 53 | + "- EMIT_L1B_OBS_001_20230220T181144_2305112_013.nc\n", |
| 54 | + "\n", |
| 55 | + "Put the input data in the `data` folder." |
| 56 | + ] |
| 57 | + }, |
| 58 | + { |
| 59 | + "cell_type": "code", |
| 60 | + "execution_count": null, |
| 61 | + "metadata": {}, |
| 62 | + "outputs": [], |
| 63 | + "source": [ |
| 64 | + "work_dir = os.path.expanduser(\"~/Downloads\")\n", |
| 65 | + "input_dir = os.path.join(work_dir, \"data\")" |
| 66 | + ] |
| 67 | + }, |
| 68 | + { |
| 69 | + "cell_type": "code", |
| 70 | + "execution_count": null, |
| 71 | + "metadata": {}, |
| 72 | + "outputs": [], |
| 73 | + "source": [ |
| 74 | + "filepath = os.path.join(input_dir, \"EMIT_L1B_RAD_001_20230220T181144_2305112_013.nc\")" |
| 75 | + ] |
| 76 | + }, |
| 77 | + { |
| 78 | + "cell_type": "markdown", |
| 79 | + "metadata": {}, |
| 80 | + "source": [ |
| 81 | + "## Download Acolite software" |
| 82 | + ] |
| 83 | + }, |
| 84 | + { |
| 85 | + "cell_type": "code", |
| 86 | + "execution_count": null, |
| 87 | + "metadata": {}, |
| 88 | + "outputs": [], |
| 89 | + "source": [ |
| 90 | + "acolite_dir = hypercoast.download_acolite(work_dir)\n", |
| 91 | + "print(f\"Acolite directory: {acolite_dir}\")" |
| 92 | + ] |
| 93 | + }, |
| 94 | + { |
| 95 | + "cell_type": "markdown", |
| 96 | + "metadata": {}, |
| 97 | + "source": [ |
| 98 | + "## Run Acolite" |
| 99 | + ] |
| 100 | + }, |
| 101 | + { |
| 102 | + "cell_type": "code", |
| 103 | + "execution_count": null, |
| 104 | + "metadata": {}, |
| 105 | + "outputs": [], |
| 106 | + "source": [ |
| 107 | + "out_dir = os.path.join(work_dir, \"output\")" |
| 108 | + ] |
| 109 | + }, |
| 110 | + { |
| 111 | + "cell_type": "code", |
| 112 | + "execution_count": null, |
| 113 | + "metadata": {}, |
| 114 | + "outputs": [], |
| 115 | + "source": [ |
| 116 | + "hypercoast.run_acolite(\n", |
| 117 | + " acolite_dir=acolite_dir,\n", |
| 118 | + " input_file=filepath,\n", |
| 119 | + " out_dir=out_dir,\n", |
| 120 | + " l2w_parameters=\"Rrs_*\",\n", |
| 121 | + " rgb_rhot=True,\n", |
| 122 | + " rgb_rhos=True,\n", |
| 123 | + " map_l2w=True,\n", |
| 124 | + ")" |
| 125 | + ] |
| 126 | + }, |
| 127 | + { |
| 128 | + "cell_type": "markdown", |
| 129 | + "metadata": {}, |
| 130 | + "source": [ |
| 131 | + "## Batch processing\n", |
| 132 | + "\n", |
| 133 | + "To process multiple images, put all the images in a folder. For example, unzip all the images in the `data` folder. Then, run the following code to make sure that all image folders are listed." |
| 134 | + ] |
| 135 | + }, |
| 136 | + { |
| 137 | + "cell_type": "code", |
| 138 | + "execution_count": null, |
| 139 | + "metadata": {}, |
| 140 | + "outputs": [], |
| 141 | + "source": [ |
| 142 | + "input_files = [os.path.join(input_dir, f) for f in os.listdir(input_dir) if \"RAD\" in f]\n", |
| 143 | + "input_files" |
| 144 | + ] |
| 145 | + }, |
| 146 | + { |
| 147 | + "cell_type": "markdown", |
| 148 | + "metadata": {}, |
| 149 | + "source": [ |
| 150 | + "Run the following code to process all images in the `data` folder." |
| 151 | + ] |
| 152 | + }, |
| 153 | + { |
| 154 | + "cell_type": "code", |
| 155 | + "execution_count": null, |
| 156 | + "metadata": {}, |
| 157 | + "outputs": [], |
| 158 | + "source": [ |
| 159 | + "hypercoast.run_acolite(\n", |
| 160 | + " acolite_dir=acolite_dir,\n", |
| 161 | + " input_file=input_files,\n", |
| 162 | + " out_dir=out_dir,\n", |
| 163 | + " l2w_parameters=\"Rrs_*\",\n", |
| 164 | + " rgb_rhot=True,\n", |
| 165 | + " rgb_rhos=True,\n", |
| 166 | + " map_l2w=True,\n", |
| 167 | + ")" |
| 168 | + ] |
| 169 | + } |
| 170 | + ], |
| 171 | + "metadata": { |
| 172 | + "kernelspec": { |
| 173 | + "display_name": "hyper", |
| 174 | + "language": "python", |
| 175 | + "name": "python3" |
| 176 | + }, |
| 177 | + "language_info": { |
| 178 | + "codemirror_mode": { |
| 179 | + "name": "ipython", |
| 180 | + "version": 3 |
| 181 | + }, |
| 182 | + "file_extension": ".py", |
| 183 | + "mimetype": "text/x-python", |
| 184 | + "name": "python", |
| 185 | + "nbconvert_exporter": "python", |
| 186 | + "pygments_lexer": "ipython3", |
| 187 | + "version": "3.10.16" |
| 188 | + } |
| 189 | + }, |
| 190 | + "nbformat": 4, |
| 191 | + "nbformat_minor": 2 |
| 192 | +} |
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