Title
Investigation of forest height retrieval using SRTM-DEM and ASTER-GDEM
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.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5651443
IGARSS
Keywords
Field
DocType
synthetic aperture radar,forest height,height measurement,ground surface elevation,polinsar data,forest height retrieval,forestry,forested areas,aster-gdem,forest height estimation,canopy height measurement,geolocation error,polarimetric interferometric sar,digital elevation models,srtm-dem,remote sensing by radar,scattering phase center height,radar interferometry,canopy surface elevation,radar polarimetry,estimation,interferometry,remote sensing,laser radar,pixel,geology,scattering
Aster (genus),Interferometric synthetic aperture radar,Synthetic aperture radar,Computer science,Remote sensing,Terrain,Digital elevation model,Shuttle Radar Topography Mission,Lidar,Elevation,Geodesy
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
3
PageRank 
References 
Authors
0.52
2
4
Name
Order
Citations
PageRank
Wenjian Ni13213.56
Zhifeng Guo25313.96
Guoqing Sun316249.24
Hong Chi4154.24