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Forest Attributes from Radar Interferometric Structure and its Fusion with Optical Remote SensingThe 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.
Document ID
20080025047
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Treuhaft, Robert N.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Law, Beverly E.
(Oregon State Univ. Corvallis, OR, United States)
Asner, Gregory P.
(Carnegie Institution of Washington Stanford, CA, United States)
Date Acquired
August 24, 2013
Publication Date
June 1, 2004
Publication Information
Publication: BioScience
Publisher: American Inst. of Biological Sciences
Volume: 54
Issue: 6
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NAG5-8315
Distribution Limits
Public
Copyright
Other
Keywords
InSAR
remote sensing
optical remote sensing,
carbon cycle
forest ecology
lidar

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