Title
Comparison Of Srtm-Ned Data To Lidar Derived Canopy Metrics
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 50m height and 60% cover.
Year
DOI
Venue
2007
10.1109/IGARSS.2007.4423431
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET
Keywords
DocType
ISSN
SRTM, NED, LIDAR, LVIS, vegetation, canopy, metrics
Conference
2153-6996
Citations 
PageRank 
References 
1
0.39
1
Authors
5
Name
Order
Citations
PageRank
Lado Kenyi110.39
Ralph Dubayah2459.66
Michelle A. Hofton3253.95
J. Bryan Blair47211.47
Mathias Schardt55811.36