Awesome Geospatial

Techniques for deep learning with satellite & aerial imagery

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

GeoAI: Artificial Intelligence for Geospatial Data

An open source library and framework for deep learning on satellite and aerial imagery.

An advanced geospatial data analysis platform

Search and download Copernicus Sentinel satellite images

Global shoreline mapping tool from satellite imagery

Miami InSAR time-series software in Python

Airborne LiDAR data manipulation and visualisation for forestry application

Python module for hyperspectral image processing

framework for large-scale SAR satellite data processing

Satellite image time series in R

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

Data Preparation for Satellite Machine Learning

Overview of Digital Elevation Model (DEM) datasets

A python package that extends Google Earth Engine.

Earth Observation Data Access Gateway

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

WhiteboxTools Python Frontend

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

ArcGIS Python Toolbox for WhiteboxTools

A Python package for delineating nested surface depressions from digital elevation data.

Tree detection from aerial imagery in Python

Satellite Stereo Pipeline

Awesome Spectral Indices in Python.

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

On-Demand Earth System Data Cubes (ESDCs) in Python

Automated download of LANDSAT data from USGS website

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

A modular Python framework for end to end InSAR and time-series processing with GUI support.

A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.

Blazing Fast JavaScript Raster Processing Engine

WhiteboxTools R Frontend

MATLAB Toolbox for Remote Sensing Change Detection

Deep learning with otb (mirror of https://forgemia.inra.fr/orfeo-toolbox/otbtf)

The STARFM fusion model for Python

No description.

An R package for visualizing movement data (e.g. from GPS tracking) and synchronous environmental data (e.g. from remote sensing) as video animations.

Creating and analyzing Earth observation data cubes in R

Interactive tools for spectral mixture analysis of multispectral raster data in Python

R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

Generate DTM (Digital Terrain Model) from DSM (Digital Surface Model).

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python

Downloading MODIS data from the USGS repository

Simplify the acquisition of remote sensing data

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.