Using selective drainage methods to hydrologically-condition and hydrologically-enforce lidar-derived surface flow
September 30, 2010
The methods to extract surface flow from coarse elevation data are well documented; however, the methods to extract surface flow from high-resolution, high-vertical accuracy digital elevation models (DEMs) derived from light detection and ranging (lidar) are less documented, but yet more complex. As lidar data are increasingly used to generate DEMS, the demand for lidar-derived surface flow escalates. Thus, the US Geological Survey has developed semi-automated selective drainage methods to extract continuous surface flow from lidar-derived DEMs. This integrated network is important in understanding surface water movement and runoff, flood inundation, and erosion.
Citation Information
Publication Year | 2010 |
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Title | Using selective drainage methods to hydrologically-condition and hydrologically-enforce lidar-derived surface flow |
Authors | Sandra K. Poppenga, Bruce Worstell, Jason M. Stoker, Susan Greenlee |
Publication Type | Conference Paper |
Publication Subtype | Conference Paper |
Index ID | 70157334 |
Record Source | USGS Publications Warehouse |
USGS Organization | Earth Resources Observation and Science (EROS) Center |