DocumentCode :
58481
Title :
Forest Canopy Height Extraction in Rugged Areas With ICESat/GLAS Data
Author :
Xiaoyi Wang ; Huabing Huang ; Peng Gong ; Caixia Liu ; Congcong Li ; Wenyu Li
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Volume :
52
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
4650
Lastpage :
4657
Abstract :
Geoscience Laser Altimeter System data have been widely used in forest canopy height extraction. It is still challenging over rugged areas. In this paper, we propose a forest canopy height extraction method consisting of the Savitzky-Golay filter and fitting, Sigbeg determination based on the fitting results, and slope correction for rugged areas, particularly for slopes ranging from 5 ° to 15 °. The method was applied to both the Xinlin Forest, China, and Santa Rosa National Park, Costa Rica. The performance of this method was validated by field measurement and Laser Vegetation Imaging Sensor data. The goodness of fit (R2) reached 0.73 and 0.78, respectively, and root-mean-squared errors (RMSEs) were 2.27 and 3.75 m over the two areas, respectively.
Keywords :
remote sensing by laser beam; vegetation; China; Costa Rica; Geoscience Laser Altimeter System data; ICESat-GLAS data; Santa Rosa National Park; Savitzky-Golay filter; Sigbeg determination; Xinlin forest; forest canopy height extraction method; laser vegetation imaging sensor data; root-mean-squared errors; rugged areas; slope correction; Earth; Educational institutions; Laser beams; NASA; Noise; Remote sensing; Vegetation; Forest inventory; global forest monitoring;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2283272
Filename :
6637006
Link To Document :
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