Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
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Updated
May 27, 2024 - Jupyter Notebook
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
GRASS GIS - free and open-source geospatial processing engine
Contains simulation and visualization tools for the 3DCHESS IAST project
Overview of Digital Elevation Model (DEM) datasets
Simulation, processing, and analysis of data generated by scientific robots in the Ocean.
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
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Sentinel-1 ARD Prototype Processor
The Clay Foundation Model (in development)
A dockerized toolbox for easily searching, downloading & processing remote sensing imagery from various public sources.
Desktop GUI for SNAP based on NetBeans Platform
SNAP Optical Toolbox
Add a description, image, and links to the earth-observation topic page so that developers can more easily learn about it.
To associate your repository with the earth-observation topic, visit your repo's landing page and select "manage topics."