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@ClarkCGA

Clark Center for Geospatial Analytics

Center for Geospatial Analytics at Clark University
README.md

Clark Center for Geospatial Analytics (Clark CGA) is an interdisciplinary research center at Clark University in Worcester, MA, USA established to catalyze synergistic research that uses geospatial analytics to address pressing issues of global environmental change. Clark CGA plays an entrepreneurial role at the forefront of the rapidly evolving fields of geospatial analytics and GeoAI.

The mission of Clark CGA is to drive the progress of geospatial analytics for sustainable environmental stewardship and broader societal benefits. Through innovative scientific research, we develop pioneering geospatial software and technology. Collaborating across disciplines, we address diverse challenges in conservation, climate change impacts, land change modeling, and environmental sustainability. By advancing application tools and technology, our aim is to lead the frontier of geospatial capabilities for societal advancement and environmental resilience.

Contact

Check out our website to learn more about our work: https://clarku.edu/cga.

Follow Clark CGA on X and LinkedIn to hear more about our work.

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  1. multi-temporal-crop-classification-baseline multi-temporal-crop-classification-baseline Public

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

    Python 19 6

Repositories

Showing 10 of 11 repositories
  • UDef-ARP Public

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

    ClarkCGA/UDef-ARP’s past year of commit activity
    Python 25 GPL-3.0 14 0 0 Updated Nov 22, 2024
  • cloud-gap-filling-td Public

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

    ClarkCGA/cloud-gap-filling-td’s past year of commit activity
    Jupyter Notebook 7 1 1 0 Updated Oct 14, 2024
  • .github Public
    ClarkCGA/.github’s past year of commit activity
    0 0 0 0 Updated Oct 11, 2024
  • gfm-gap-filling Public

    Fine-tuning the GFM model for gap filling task.

    ClarkCGA/gfm-gap-filling’s past year of commit activity
    Jupyter Notebook 0 0 3 0 Updated Jun 10, 2024
  • open-data-registry Public Forked from awslabs/open-data-registry

    A registry of publicly available datasets on AWS

    ClarkCGA/open-data-registry’s past year of commit activity
    Python 0 Apache-2.0 931 0 0 Updated Jun 5, 2024
  • gfm-gap-filling-baseline Public

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

    ClarkCGA/gfm-gap-filling-baseline’s past year of commit activity
    Jupyter Notebook 1 0 0 0 Updated May 27, 2024
  • UDef-ARP-Plugin Public

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

    ClarkCGA/UDef-ARP-Plugin’s past year of commit activity
    Python 0 GPL-3.0 0 0 0 Updated May 1, 2024
  • multi-temporal-crop-classification-training-data Public

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

    ClarkCGA/multi-temporal-crop-classification-training-data’s past year of commit activity
    Jupyter Notebook 6 Apache-2.0 4 0 0 Updated Mar 23, 2024
  • kenya-multitemporal-crop-segmentation-baseline Public Forked from ClarkCGA/multi-temporal-crop-classification-baseline

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

    ClarkCGA/kenya-multitemporal-crop-segmentation-baseline’s past year of commit activity
    Jupyter Notebook 1 6 0 0 Updated Mar 12, 2024
  • multi-temporal-crop-classification-baseline Public

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

    ClarkCGA/multi-temporal-crop-classification-baseline’s past year of commit activity
    Python 19 6 8 0 Updated Feb 5, 2024
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