
Research Data--KGS

Researcher ORCID Identifier
Matthew Massey: https://orcid.org/0000-0003-3316-9550
Abdullah-Al-Zubaer Imran: https://orcid.org/0000-0001-5215-339X
Files
Dataset Creation Date
5/1/2025
Release Date
5-2025
Publisher
University of Kentucky Libraries
Description
Surficial geologic mapping is essential for understanding Earth surface processes, addressing modern challenges such as climate change and national security, and supporting common applications in engineering and resource management. However, traditional mapping methods are labor-intensive, limiting spatial coverage and introducing potential biases. To address these limitations, we introduce EarthScape, a novel, AI-ready multimodal dataset specifically designed for surficial geologic mapping and Earth surface analysis. EarthScape integrates high-resolution aerial RGB and near-infrared (NIR) imagery, digital elevation models (DEM), multi-scale DEM-derived terrain features, and hydrologic and infrastructure vector data. The dataset provides masks and labels for seven surficial geologic classes encompassing various geological processes. As a living dataset with a vision for expansion, EarthScape bridges the gap between computer vision and Earth sciences, offering a valuable resource for advancing research in multimodal learning, geospatial analysis, and geological mapping. The reader is referred to the current arXiv manuscript (https://arxiv.org/abs/2503.15625) and GitHub repository (https://github.com/masseygeo/earthscape) for additional details.
Digital Object Identifier (DOI)
https://doi.org/10.13023/kgs.data.05.01.2025
Rights
© 2025 University of Kentucky. This dataset is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided that the dataset creators and source are credited and that changes (if any) are clearly indicated.
Supporting Information
The reader is referred to the following open-access sources for more details about the dataset: https://arxiv.org/abs/2503.15625, https://github.com/masseygeo/earthscape
File Format
ZIP, GeoTIFF, CSV, GeoJSON, TEXT
Version
1
Language
English
Funding Information
Kentucky Geological Survey
Recommended Citation
Massey, M.A., and Imran, A., 2025, EarthScape AI Dataset [ver. 1.0.0, 2025-05]: Kentucky Geological Survey, ser. 14, research data, https://doi.org/10.13023/kgs.data.05.01.2025
Notes
Point of Contact: Kentucky Geological Survey
Originator: Matthew Massey
Publisher: Kentucky Geological Survey
Distributor: UKnowledge