Clark Center for Geospatial Analytics

UDef-ARP

UDef-ARP was developed by Clark Labs, in collaboration with TerraCarbon, to facilitate implementation of the Verra tool, VT0007 Unplanned Deforestation Allocation (UDef-A).

multi-temporal-crop-classification-baseline

Baseline model for crop type segmentation as part of the HLS FM downstream task evaluations

cloud-gap-filling-td

Training data generation for cloud gap imputation fine-tuning of Prithvi Geospatial Foundation Model

kenya-multitemporal-crop-segmentation-baseline

Implementation of crop segmentation model for the Kenya Building Footprints and Field Boundaries dataset

.github

gfm-gap-filling-baseline

Baseline model for gap filling as part of the GFM downstream task evaluations

hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

multi-temporal-crop-classification-training-data

This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.

open-data-registry

A registry of publicly available datasets on AWS

UDef-ARP-Plugin

This is a modified version of the UDef-ARP repository that enables the tools to be fully integrated into QGIS as a plugin.