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

fYear

2007

fDate

23-28 July 2007

Firstpage

2825

Lastpage

2829

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2007.4423431

Filename

4423431