The repository contains data for the paper titled"High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geosp…

Javascript code to run many Satellite index at the same time.

PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry

A python package for end-to-end geospatial machine learning using multispectral earth observation data such as NASA HLS and ESA Sentinel-2.

Config files for datacube and associated applications

🛰 Ce script didacticiel contient des exemples d’utilisation d’images de missions RADARSAT en python et QGIS pour aider les utilisateurs à utiliser les données CSA en fonction de leurs besoins. 🛰 Th…

Toolbox for biostatistics and clinical data analysis in R. Developed by the biostatistics team at Laboratorios Sophia S.A. de C.V.

Predict soil moisture from Sentinel-1 data using random forest regression

Examples of using the Planetary Computer

Example hyperspectral notebooks

This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.

UArizona DataLab Workshops

Google Earth Engine (GEE) JavaScript-based tools for working with various hyperspectral datasets (e.g., AVIRIS, EMIT, Hyperion, PACE OCI)

Collection of script and notebook for remote sensing analyst with Python

This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.

Repository of polsartools tutorials

Current RCM data projects

Example workflows for accessing and manipulating RCM-CEOS-ARD data products from the EODMS STAC Catalog / Exemples de flux de travail permettant d’accéder et de manipuler les données MCR-CEOS-DPA i…

Notebook for land cover classification with UNET

Contains lab exercises on machine learning using Python.

A repository folder regarding phenology extraction scripts utilizing existing packages (i.e. TIMESAT, CropPhenology) and proposing new methodologies

Climate Geospatial Analysis on Python with Xarray

This python code is developed for creating land cover or crop cover map using the random forest machine learning

You can perform Land Cover Classification on Satellite Images using Random Forest and visualize the result using Earthpy package. Make sure to install the required packages and such as