COMPARISON OF NED, SRTM, AND LIDAR DATA IN KARST GIS FOR NORTHERN ALABAMA
ABSTRACT WITHDRAWN
For this karst GIS project, three data types were used: USGS NED 30-meter grid data; SRTM 30-meter grid data; and high resolution LiDAR point data. Noted data limitations include older dates of acquisition (NED and SRTM), lower spatial resolution (NED and SRTM), slower processing speeds (LiDAR), and higher noise levels (LiDAR). Alternatively, strengths of different datasets include potential for multitemporal change detection (NED vs. SRTM vs. LiDAR), high resolution (LiDAR), and more recent acquisition dates (SRTM and LiDAR).
Analytical methods incorporated hydrology tools (flow direction and sinks) and contouring tools in ArcGIS software. Data were used and resampled at multiple resolutions. Results were compared with USGS 1:24,000-scale topographic maps and 1-meter aerial photography. Spatial resolution had significant influence on accuracy of sinkhole identification. Resolutions less than 5 meters produced the highest noise levels, while resolutions at 10 to 30 meters more successfully identified sinkholes present on 1:24,000-scale topographic maps and aerial photos. That some sinkholes on topographic maps were not identified in the processed data may reflect multitemporal changes in land-cover or land-use. Although not included in this study due to time and budget constraints, ground truthing may be included in future research to help clarify apparent sinkhole absences and causes thereof.