Check out our website to learn more about our work: https://clarku.edu/cga.
Follow Clark CGA on Twitter and LinkedIn to hear more about our work.
Check out our website to learn more about our work: https://clarku.edu/cga.
Follow Clark CGA on Twitter and LinkedIn to hear more about our work.
A registry of publicly available datasets on AWS
Baseline model for gap filling as part of the GFM downstream task evaluations
Training data generation for cloud gap imputation fine-tuning of Prithvi Geospatial Foundation Model
This is a modified version of the UDef-ARP repository that enables the tools to be fully integrated into QGIS as a plugin.
This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.
Implementation of crop segmentation model for the Kenya Building Footprints and Field Boundaries dataset
Baseline model for crop type segmentation as part of the HLS FM downstream task evaluations