Advancing the GEOtiled Framework Through Scalable Terrain Parameter Computation

The GEOtiled framework facilitates the scalable and efficient computation of high-resolution terrain parameters using Digital Elevation Models (DEMs) across the Continental United States (CONUS). These parameters are essential in Earth Science applications. This paper presents significant advances to optimizing GEOtiled's performance. In GEOtiled 2.0, we introduce three key optimizations to speed up GEOtiled's overall runtime: concurrent cropping, efficient mosaic operation, and unified parallel processing. These optimizations improve data distribution and handling, reducing computation times while maintaining accuracy. We evaluate performance using DEM data at 30-meter resolution over a region covering the state of Tennessee. Our results demonstrate that the optimized framework provides substantial performance improvements for generating terrain parameters. GEOtiled 2.0 software, openly available on GitHub, advances reproducible, data-driven scientific discovery in Earth Science.

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Publication Details

Published
2025-07-20
DOI
https://doi.org/10.1145/3731545.3735117
Primary Topic
3D Modeling in Geospatial Applications
Type
article
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article

Advancing the GEOtiled Framework Through Scalable Terrain Parameter Computation

Rodrigo Vargas, Paula Olaya, Jack Marquez, Michela Taufer et al.
3D Modeling in Geospatial Applications
article

Advancing the GEOtiled Framework Through Scalable Terrain Parameter Computation

Rodrigo Vargas, Paula Olaya, Jack Marquez, Michela Taufer, Gabriel Laboy, Michael Sutherlin
article en

Abstract

The GEOtiled framework facilitates the scalable and efficient computation of high-resolution terrain parameters using Digital Elevation Models (DEMs) across the Continental United States (CONUS). These parameters are essential in Earth Science applications. This paper presents significant advances to optimizing GEOtiled's performance. In GEOtiled 2.0, we introduce three key optimizations to speed up GEOtiled's overall runtime: concurrent cropping, efficient mosaic operation, and unified parallel processing. These optimizations improve data distribution and handling, reducing computation times while maintaining accuracy. We evaluate performance using DEM data at 30-meter resolution over a region covering the state of Tennessee. Our results demonstrate that the optimized framework provides substantial performance improvements for generating terrain parameters. GEOtiled 2.0 software, openly available on GitHub, advances reproducible, data-driven scientific discovery in Earth Science.

Knoxville College (US), University of Tennessee at Knoxville (US), University of Delaware (US)
Openalex Percentile: Top 73%
3D Modeling in Geospatial Applications
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