PyGMI - a python package for geoscience modelling and interpretation
PyGMI - a python package for geoscience modelling and interpretation - Published in JOSS (2025)
eemont
eemont: A Python package that extends Google Earth Engine - Published in JOSS (2021)
eo-tides
eo-tides: Tide modelling tools for large-scale satellite Earth observation analysis - Published in JOSS (2025)
Dolphin
Dolphin: A Python package for large-scale InSAR PS/DS processing - Published in JOSS (2024)
servir-aces
servir-aces: A Python Package for Training Machine Learning Models for Remote Sensing Applications - Published in JOSS (2024)
DetecTree
DetecTree: Tree detection from aerial imagery in Python - Published in JOSS (2020)
sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
pycoxmunk
pycoxmunk: A python package for computing sea surface reflectance - Published in JOSS (2023)
GrIML
GrIML: A Python package for investigating Greenland's ice-marginal lakes under a changing climate - Published in JOSS (2025)
sandpyper
sandpyper: A Python package for UAV-SfM beach volumetric and behavioural analysis - Published in JOSS (2021)
DeepTrees: Tree Crown Segmentation and Analysis in Remote Sensing Imagery with PyTorch
DeepTrees: Tree Crown Segmentation and Analysis in Remote Sensing Imagery with PyTorch - Published in JOSS (2025)
gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
gpm-api
A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive
jurassic
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.
awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
hls-foundation-os
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
gps
This repository provides a collection of codes for the analysis of GPS/RO observations.
iasi
This repository provides a collection of codes for the analysis of remote sensing observations of EUMETSAT's Infrared Atmospheric Sounding Interferometer (IASI).
geemap
geemap: A Python package for interactive mapping with Google Earth Engine - Published in JOSS (2020)
at3d
Retrieves 3D cloud properties from multi-angle images of reflected solar radiation
geograph
GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.
pyriemann
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
faninsar
A fancy InSAR time series library, in a Pythonic, fast, and flexible way.
orthoseg
OrthoSeg makes it easy to train neural networks to segment orthophotos.
eoreader
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
rastervision
An open source library and framework for deep learning on satellite and aerial imagery.
lidR
Airborne LiDAR data manipulation and visualisation for forestry application
pysiral
python package for scientific computing (satellite radar altimetry over ice-covered ocean)
dea-tools
Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray
SpaceLiDAR
A Julia package for working with ICESat-2 & GEDI data as part of my PhD research
multi-mode-cnn-pytorch
A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
itslive
NOTE: this book is no longer maintained. Please go to 'Cloud-native geospatial data cube workflows,' linked below, instead.
airs
The AIRS Code Collection enables data processing and analysis for remote sensing observations captured by NASA's Atmospheric InfraRed Sounder.
jupyter-matlab-ocean-satellite-data-toolbox
Jupyter Notebooks for accessing and downloading regional and point-location ocean satellite data from CMEMS, ESA OC-CCI, ESA BICEP, EUMETSAT, NASA Ocean Colour and NOAA CoastWatch.
hyr-sense
NASA-SBG and NSF-ESIIL "HYR-SENSE: Hyperspectral and Thermal Remote Sensing for Environmental Justice" program. Participants will gain hands-on experience with hyperspectral and thermal imaging remote sensing technology and its applications for environmental justice issues.
lidar
lidar: A Python package for delineating nested surface depressions from digital elevation data - Published in JOSS (2021)
MODIStsp
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
spectral-recovery
Spectral recovery analysis for forested ecosystems in Python. Part of the PEOPLE-ER project.
Bayesian_LSP
A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.
dea-intertidal
Generating intertidal elevation, exposure and extents from satellite earth observation data and ocean tide modelling
spectralindices.jl
Access and computation of any spectral index in the Awesome Spectral Indices collection natively in Julia
awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
modelo-incendiosforestales
Modelo desarrollado en el ensamblador de modelos de QGIS; este modelo permite estimar el área quemada y la severidad de la quema.
unmixing
Interactive tools for spectral mixture analysis of multispectral raster data in Python
pyrsgis
This repository cointains the source code of the 'pyrsgis' Python package.
https://github.com/awesome-spectral-indices/spectral
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
pygadm
Easy access to administrative boundary defined by GADM from Python scripts
pytools4dart
This is a read-only mirror of https://gitlab.com/pytools4dart/pytools4dart.
cars
CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
phenofit
R package: A state-of-the-art Vegetation Phenology extraction package, phenofit
gval
A Python framework to evaluate geospatial datasets by comparing candidate and benchmark maps to compute agreement maps and statistics.
farmvibes-ai
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
coastguard
Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data
https://github.com/bluegreen-labs/foto
The FOTO (Fourier Transform Textural Ordination) R package.
rt1
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
https://github.com/google-deepmind/jeo
Jeo: Jax model training lib for Earth Observation
ee_extra
A ninja python package that unifies the Google Earth Engine ecosystem.
udef-arp
UDef-ARP was developed by Clark Labs, in collaboration with TerraCarbon, to facilitate implementation of the Verra tool, VT0007 Unplanned Deforestation Allocation (UDef-A).
Callisto-Dataset-Collection
A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.
xarray-sentinel
Xarray backend to Copernicus Sentinel-1 satellite data products
cbers4asat
📚 Biblioteca Python para realizar a busca e processamento de imagens dos satélites CBERS-04A e AMAZONIA-1 🛰️ 🇧🇷
https://github.com/baimamboukar/air-quality-socioeconomic-analysis-research
Mapping Socioeconomic Air Quality Disparities in Rwanda Using Sentinel-5P TROPOMI Data in Google Earth Engine
nasa-wildfires
Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)
pylandtemp
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
phenocamr
An R Interface and Post-Processing Framework for PhenoCam Web Services
