DocumentCode
2859317
Title
Tropical-Forest Density Profiles from Multibaseline Interferometric SAR
Author
Treuhaft, R.N. ; Chapman, B.D. ; dos Santos, J.R. ; Dutra, L.V. ; Goncalves, F.G. ; da Costa Freitas, C. ; Mura, J.C. ; de Graca, P.M.A. ; Drake, J.B.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA
fYear
2006
fDate
July 31 2006-Aug. 4 2006
Firstpage
2205
Lastpage
2207
Abstract
Vertical profiles of forest density potentially are robust indicators of forest biomass, fire susceptibility and ecosystem function. Tropical forests, which are among the most dense and complicated targets for remote sensing, contain about 45% of the world\´s biomass. Remote sensing of tropical forest structure is therefore an important component to global biomass and carbon monitoring. As in radio astronomy, which uses multibaseline radio interferometry to measure the structure of celestial objects, so multibaseline interferometric SAR (InSAR) can be used to estimate the vertical structure of forests. Vegetation density profiles, along with radar backscattering characteristics and attenuation, determine the radar brightness profile "seen" by InSAR. This paper will describe an experiment at La Selva Biological Station in Costa Rica (~3m rainfall/year) in which we flew 18 effective fixed baselines over tropical forests at C-band (0.056 m wavelength) and L-band (0.25 m). Preliminary inversions for radar brightness profiles will be compared to extensive lidar profiles measured in the same area. They will also be compared to field-measured profiles.
Keywords
carbon; ecology; environmental factors; forestry; geophysical signal processing; inverse problems; radar interferometry; C; C-band; Costa Rica; InSAR; La Selva Biological Station; carbon monitoring; ecosystem function; field-measured profiles; fire susceptibility; forest biomass; forest vertical profiles; global biomass; inversion method; lidar profiles; multibaseline interferometric SAR; multibaseline radio interferometry; radar attenuation; radar backscattering; radar brightness profile; remote sensing; tropical forest density profile; tropical forest structure; vegetation density profiles; Biomass; Brightness; Ecosystems; Extraterrestrial measurements; Fires; Radio astronomy; Radio interferometry; Remote monitoring; Robustness; Synthetic aperture radar interferometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-9510-7
Type
conf
DOI
10.1109/IGARSS.2006.570
Filename
4241717
Link To Document