Stars
This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation…
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Data science interview questions and answers
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Awesome Spectral Indices in Python.
A python library for creating ISCE3-based OPERA RTCs for all modern SAR missions (eventually)
A tool for benchmarking and hyper-parameter optimization using TerraTorch. Leverages MLFlow for experiment logging, optuna for hyperparameter optimization and ray for parallelization.
TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
The Clay Foundation Model - An open source AI model and interface for Earth
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler
A python toolbox for easily downloading and processing Sentinel-1 SLC, Sentinel-2 and DEM data.
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
Facilitates transferring on-demand SAR products processed by ASF's HyP3 to Google Earth Engine.
Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.
a deep model that segments water on multispectral images
User friendly Rasterio plugin to read raster datasets.
Build your own Raster dynamic map tile services
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.
Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
Geospatial Raster support for Spark DataFrames
Repository containing model development, training, and execution for the CAFO satellite imagery detection process.
Replication code for "Deep Learning to Map Concentrated Animal Feeding Operations"