DocumentCode
2669164
Title
Evaluation of the interaction between SAR L-band signal and structural parameters of forest cover
Author
Narvaes, Igor Da Silva ; de Queiroz da Silva, A. ; Santos, João Roberto dos
Author_Institution
Nat. Inst. for Space Res., Sao Jose dos Campos
fYear
2007
fDate
23-28 July 2007
Firstpage
1607
Lastpage
1610
Abstract
The objective of this paper is to evaluate the interaction between backscatter (sigmadeg) from polarimetric L-band SAR data (collected by the airborne sensor R99-B/SIPAM) and biophysical parameters of the primary forest and secondary succession sites. The area under study is located in the region of Tapajos (Brazil), where SAR data were collected in May 2005. Another approach under investigation is the evaluation of the contribution from basic backscatter mechanisms, using the Freeman-Durden decomposition technique, applied to complex SAR images, where the physiognomic-structural characteristics of the forest stands give a significant contribution. In brief, it was possible to verify that the variable "tree height" has better relations with the backscatter values, when compared to other biophysical variables, especially when the model also includes variations of the incidence angle of the stripes imaged. The decomposition technique showed that the volumetric scattering component has the strongest influence on the SAR response at primary and secondary tropical forests.
Keywords
backscatter; radar cross-sections; radar polarimetry; synthetic aperture radar; topography (Earth); vegetation; AD 2005 05; Freeman-Durden decomposition technique; R99-B/SIPAM; SAR L-band signal parameters; SAR L-band structural parameters; Synthetic Aperture Radar; Tapajos region; backscatter mechanisms; biophysical parameters; forest cover; physiognomic-structural characteristics; polarimetric L-band SAR data; tropical forest; Backscatter; Biomass; Biosensors; L-band; Polarization; Radar polarimetry; Radar scattering; Remote monitoring; Scattering parameters; Structural engineering; Amazon; SAR; forest inventory; monitoring; remote sensing; tropical forest;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423120
Filename
4423120
Link To Document