The new version of the INAMHI GEOGLOWS portal, developed using Angular, Django, and Docker for enhanced scalability and performance.
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Updated
Sep 30, 2024 - Python
The new version of the INAMHI GEOGLOWS portal, developed using Angular, Django, and Docker for enhanced scalability and performance.
Tide modelling tools for large-scale satellite earth observation analysis
Annotation of datasets for deep learning applied to satellite and aerial imagery
A comprehensive list of NASA Earth science data products
SNAP Microwave Toolbox
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Software behind the RACE dashboard by ESA and the European Commission (https://race.esa.int), the Green Transition Information Factory - GTIF (https://gtif.esa.int), as well as the Earth Observing Dashboard by NASA, ESA, and JAXA (https://eodashboard.org)
Web App to compare historical data between weather stations and satellite data
Public documentation for Tilebox.
🛰️ Process raster data in python
Global Precipitation Measurement Mission (GPM) python package to download and analyze data with xarray
Satellite SST maps and buoy temperature data for monitoring Marine Heatwaves
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
framework for large-scale SAR satellite data processing
Techniques for deep learning with satellite & aerial imagery
Datasets for deep learning with satellite & aerial imagery
🛰️Ce tutoriel montre comment extraire, visualiser et analyser les données du télescope spatial Planck. |🛰️This tutorial demonstrates how to extract, visualize, and analyze data from the Planck Space Telescope.
Generalized data analysis workflow via a consistent easy to use interface.
Using Operations Research to solve this problem, this takes inputs for various locations and provides the best day to launch a Low Earth Orbit (LEO) Satellite with cost minimization based on weather, size, cost, failure rate, and more.
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