Show simple item record

dc.contributor.authorAlemohammad, Seyed Hamed
dc.contributor.authorKonings, Alexandra G
dc.contributor.authorJagdhuber, Thomas
dc.contributor.authorMoghaddam, Mahta
dc.contributor.authorEntekhabi, Dara
dc.date.accessioned2021-10-27T20:29:16Z
dc.date.available2021-10-27T20:29:16Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/135783
dc.description.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.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.RSE.2018.02.032
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcearXiv
dc.titleCharacterization of vegetation and soil scattering mechanisms across different biomes using P-band SAR polarimetry
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.relation.journalRemote Sensing of Environment
dc.eprint.versionOriginal manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/NonPeerReviewed
dc.date.updated2019-09-24T12:32:20Z
dspace.orderedauthorsAlemohammad, SH; Konings, AG; Jagdhuber, T; Moghaddam, M; Entekhabi, D
dspace.date.submission2019-09-24T12:32:24Z
mit.journal.volume209
mit.metadata.statusAuthority Work and Publication Information Needed


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record