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