Integrating Mapping Africa/Lacuna labels and modeling work with FTW

Convert score maps to vectorized instances

The Galileo family of pretrained remote sensing models

Python code for the DECODE method and mxnet code for Fractal ResUNet

Processing and analysis of Africa-wide field boundary labels created for the Lacuna Fund.

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

Code and data for the paper "High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales"

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).

PyTorch implementation of SatCLIP

Parameter estimation and clustering/classification using Riemannian geometry.

Domain adaptation toolbox compatible with scikit-learn and pytorch

Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

Computations and statistics on manifolds with geometric structures.

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

Code for running baseline models/experiments with the Fields of The World dataset

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN

Official repository for "Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery" (CVPR 2024)

Imaging Spectroscopy Tutorial Materials