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  4. Characterization of vegetation and soil scattering mechanisms across different biomes using P-band SAR polarimetry

Characterization of vegetation and soil scattering mechanisms across different biomes using P-band SAR polarimetry

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sword-2019-09-24T12:32:20.original.xml (130 B)
Original SWORD entry document
Author(s)
Alemohammad, Seyed Hamed
•
Konings, Alexandra G
•
Jagdhuber, Thomas
•
Moghaddam, Mahta
•
Entekhabi, Dara
Date Issued
2018
Journal
Remote Sensing of Environment
Publisher
Elsevier BV
Version
Original manuscript
Abstract
© 2018 Elsevier Inc. Understanding the scattering mechanisms from the ground surface in the presence of different vegetation densities is necessary for the interpretation of P-band Synthetic Aperture Radar (SAR) observations and for the design of geophysical retrieval algorithms. In this study, a quantitative analysis of vegetation and soil scattering mechanisms estimated from the observations of an airborne P-band SAR instrument across nine different biomes in North America is presented. The goal is to apply a hybrid (model- and eigen-based) three component decomposition approach to separate the contributions of surface, double-bounce and vegetation volume scattering across a wide range of biome conditions. The decomposition makes no prior assumptions about vegetation structure. We characterize the dynamics of the decomposition across different North American biomes and assess their characteristic range. Impacts of vegetation cover seasonality and soil surface roughness on the contributions of each scattering mechanism are also investigated. Observations used here are part of the NASA Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission and data have been collected between 2013 and 2015.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/135783
DOI of Published Version
https://doi.org/10.1016/J.RSE.2018.02.032
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