Title :
Comparison of SRTM-NED data to LIDAR derived canopy metrics
Author :
Kenyi, L. ; Dubayah, R. ; Hofton, M. ; Blair, J.B. ; Schardt, M.
Author_Institution :
Univ. of Maryland, College Park
Abstract :
Forest canopy height derived from the SRTM-NED were compared to three LIDAR vegetation metrics for the Sierra Nevada forest. Generally the SRTM-NED was found to under estimate the vegetation canopy height. The SRTM SAR signal was found to penetrate, on average, into 44% of the canopies. The residual errors as a function of LVIS canopy height and cover were found to generally increase with height and cover. Likewise, the RMSE was found to initially increase with canopy height and cover but saturates at 50 m height and 60% cover.
Keywords :
atmospheric boundary layer; optical radar; remote sensing by laser beam; vegetation; LIDAR vegetation metrics; LVIS; National Elevation Dataset; SAR signal; SRTM minus NED data; Shuttle Radar Topography Mission; Sierra Nevada forest; USA; canopy cover; forest canopy height; northern California; residual errors; Earth; Instruments; Laboratories; Laser radar; NASA; Spatial resolution; Surface topography; Surface waves; Synthetic aperture radar interferometry; Vegetation mapping; Canopy; LIDAR; LVIS; Metrics; NED; SRTM; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423431
