Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining

Dean B. Gesch

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USGS · 70259528

Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining

Dean B. Gesch

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Abstract

Geospatial data sets, especially digital elevation data, have proven useful for characterizing and analyzing land surface conditions. Digital elevation models are routinely used for describing the morphology of the land surface in terms of slope gradient and aspect. Additionally, the elevation data are useful for deriving parameters that describe the local drainage conditions such as watersheds and stream channels. When the element of time is added to the analysis through the use of multi-temporal topographic data, the effects of changes to the physical shape of the land surface may be studied. Such is the case with analysis of historical (pre-mining) and recent (post-mining) topographic and other geospatial data sets, including land cover maps derived from remote sensing. Nationwide geospatial data sets now exist with the required spatial and temporal resolution that allow for assessment of the effects of surface mining operations. Changes to the local landscape morphology are readily identified, and the effects to the surface drainage features are quantifiable, such as changes to local relief and drainage pattern and the total length of affected streams. Additionally, the visual impact of the movement of rock and soil materials may be assessed through viewshed analysis. Examples in both Appalachian and Western coalfields show the usefulness of analyzing detailed historical and recent geospatial data sets to better map and describe the effects of surface mining.

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Conference Paper

Source-reported bounding extent: 37.226507045303904° to 37.433869813899946° latitude; -83.51228609749789° to -83.15978645381992° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

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Dean B. Gesch. 2005. Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining. https://pubs.usgs.gov/publication/70259528

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