Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing

Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing AbstractThe 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png BioScience Oxford University Press

Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing

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Publisher
Oxford University Press
Copyright
© 2004 American Institute of Biological Sciences
Subject
Overview Articles
ISSN
0006-3568
eISSN
1525-3244
DOI
10.1641/0006-3568(2004)054[0561:FAFRIS]2.0.CO;2
Publisher site
See Article on Publisher Site

Abstract

AbstractThe 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.

Journal

BioScienceOxford University Press

Published: Jun 1, 2004

Keywords: Keywords remote sensing carbon cycle InSAR lidar optical remote sensing forest ecology

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