PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
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Updated
May 27, 2024 - Jupyter Notebook
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
download Google Earth Engine datasets to tiles as geotiff arrays
Simulation, processing, and analysis of data generated by scientific robots in the Ocean.
causalimages: An R package for performing causal inference with image and image sequence data
Desktop GUI for SNAP based on NetBeans Platform
GRASS GIS - free and open-source geospatial processing engine
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
A dockerized toolbox for easily searching, downloading & processing remote sensing imagery from various public sources.
Contains simulation and visualization tools for the 3DCHESS IAST project
Overview of Digital Elevation Model (DEM) datasets
Techniques for deep learning with satellite & aerial imagery
Satellite image time series in R
Earth Observation Data Access Gateway
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
🌎 Python SDK for UP42, the geospatial marketplace and developer platform.
Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core
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