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Forest attributes from radar interferometric structure and its fusion with optical remote sensing

Show simple item record Treuhaft, Robert N. Law, Beverly E. Asner, Gregory P. 2008-06-16T21:13:10Z 2008-06-16T21:13:10Z 2004-06
dc.identifier.citation BioScience, Vol. 54 No. 6, June 2004, doi: 10.1641/0006-3568(2004)054 en_US
dc.identifier.clearanceno 03-2499 en_US
dc.description.abstract The possibility of global, three-dimensional remote sensing of forest structure with interferometric synthetic aperture radar (InSAR) bears on important forest ecological processes, particularly the carbon cycle. InSAR supplements two-dimensional remote sensing with information in the vertical dimension. Its strengths in potential for global coverage complement those of lidar (light detecting and ranging), which has the potential for high-accuracy vertical profiles over small areas. InSAR derives its sensitivity to forest vertical structure from the differences in signals received by two, spatially separate radar receivers. Estimation of parameters describing vertical structure requires multiple-polarization, multiple-frequency, or multiple-baseline InSAR. Combining InSAR with complementary remote sensing techniques, such as hyperspectral optical imaging and lidar, can enhance vertical-structure estimates and consequent biophysical quantities of importance to ecologists, such as biomass. Future InSAR experiments will supplement recent airborne and spaceborne demonstrations, and together with inputs from ecologists regarding structure, they will suggest designs for future spaceborne strategies for measuring global vegetation structure. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher American Institute of Biological Sciences en_US
dc.subject remote sensing en_US
dc.subject forest ecology en_US
dc.subject carbon cycle en_US
dc.subject InSAR en_US
dc.subject lidar en_US
dc.subject optical remote sensing, en_US
dc.title Forest attributes from radar interferometric structure and its fusion with optical remote sensing en_US
dc.type Article en_US

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