DocumentCode :
3333335
Title :
Investigation of forest height retrieval using SRTM-DEM and ASTER-GDEM
Author :
Ni, Wenjian ; Guo, Zhifeng ; Sun, Guoqing ; Chi, Hong
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2111
Lastpage :
2114
Abstract :
Interferometric SAR (InSAR)data have been used to measure canopy height. Polarimetric interferometric SAR (PolInSAR) data can be used to derive canopy height without using ground surface elevation data. But in most cases, only single polarization InSAR data are available and the elevation of ground surface in the forested areas is needed to get the height of the scattering phase center. On contrary, the elevation of canopy surface is relatively easy to obtain by Stereo imagery. In this study the feasibility of the estimation of forest height using SRTM-DEM and ASTER- GDEM was investigated. The ASTER-GDEM was firstly resampled to the pixel size of SRTM-DEM (3 arc-second) and then was registered to SRTM- DEM using the points selected from their aspect maps. The results showed that the registration is necessary because the geolocation error at east-west direction is about half of the pixel size. The relationship between the forest height and the elevation difference was analyzed. The results showed that the elevation difference between registered ASTER-GDEM and SRTM-DEM is positively correlated with the forest height. Although there are some problems when the terrain is rough, it provides us a way to estimate the height of mature forest in flat terrain.
Keywords :
digital elevation models; forestry; height measurement; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; ASTER-GDEM; PolInSAR data; SRTM-DEM; canopy height measurement; canopy surface elevation; forest height estimation; forest height retrieval; forested areas; geolocation error; ground surface elevation; polarimetric interferometric SAR; scattering phase center height; Estimation; Geology; Interferometry; Laser radar; Pixel; Remote sensing; Scattering; ASTER-GDEM; Forest Height; SRTM-DEM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5651443
Filename :
5651443
Link To Document :
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