Title :
Digital Height Modeling (DHM) of Tropical Forests using Multi-frequency InSAR Methodology
Author :
Dutra, Luciano V. ; Santos, João R dos ; Freitas, Corina C. ; Mura, José C. ; Neef, Till ; Elmiro, Marcos Antonio Timbó ; Moura, Pierre
Author_Institution :
Div. of Image Process., Nat. Inst. for Space Res., Sao Jose dos Campos
fDate :
July 31 2006-Aug. 4 2006
Abstract :
The objective of this study was to verify how digital elevation models (DEM) built by P-band repeat pass synthetic aperture radar (SAR) interferometry (InSAR) and X band InSAR can be used for estimating a digital height model (DHM) of forested environments and assess its quality. P band signal penetrates towards the forest floor which potentially generates a ground level DEM. X band radar reflects on the top of the vegetation cover, so X band InSAR produces a digital surface model (DSM). The DSM-DEM difference is a map of the vegetation cover height, the DHM. The estimated DHM can be used for forest volume estimation over large areas and used for improving SAR image interpretation either in P or X band. In September 2000, the National Institute for Space Research of Brazil (INPE) and the Brazilian Army Cartographic Service Division (DSG) conducted a mission over the Tapajo acutes National Forest, Para acute State, Brazil when X and P band InSAR data was obtained. Extensive ground data collection, forest inventory, land cover identification and differential GPS altitude measurements was done over the area to permit proper results assessment. It was concluded that the estimated DHM has a good relationship with the vegetation cover height, (r2~0.96) estimated from forest parameters measured on the ground survey.
Keywords :
Global Positioning System; digital elevation models; geophysical techniques; radar interferometry; synthetic aperture radar; vegetation mapping; AD 2000 09; Brazil; Brazilian Army Cartographic Service Division; GPS altitude measurements; National Institute for Space Research; Para State; SAR image interpretation; Tapajos National Forest; digital height modeling; digital surface model; multifrequency InSAR methodology; synthetic aperture radar interferometry; tropical forests environments; vegetation cover height estimation; Area measurement; Digital elevation models; Global Positioning System; Ground penetrating radar; Radar imaging; Signal generators; Space missions; Synthetic aperture radar; Synthetic aperture radar interferometry; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.566