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dc.contributor.authorKong, Xin
dc.contributor.authorDorling, Steve
dc.identifier.citationKong , X & Dorling , S 2008 , ' Near-surface soil moisture retrieval from ASAR Wide Swath imagery using a Principal Component Analysis ' , INTERNATIONAL JOURNAL OF REMOTE SENSING , vol. 29 , no. 10 , pp. 2925-2942 .
dc.identifier.otherPURE: 1267326
dc.identifier.otherPURE UUID: c1283a0a-47ce-42b0-b799-9a03b54a141d
dc.identifier.otherScopus: 43149090985
dc.description.abstractThe new ENVISAT Advanced Synthetic Aperture Radar (ASAR) Wide Swath Mode (WSM) data provide good potential for routinely monitoring near surface soil moisture due to the increased temporal revisit capability compared with ERS2 SAR. In this paper, we propose a Principal Components Analysis (PCA) to retrieve near‐surface soil moisture from ASAR WSM data. The results demonstrate that PCA transformation can at least partially separate or group the effect factors, such as surface roughness, land cover, vegetation, and topography within the limitations of our datasets. The second principal component which was consistent with soil moisture and rainfall‐runoff dynamics was representative of the soil moisture Saturation Potential Index over a large area. Validation against field measurements and against the UK Met Office Surface Exchange Scheme shows the retrieval performs with reasonable accuracy.en
dc.titleNear-surface soil moisture retrieval from ASAR Wide Swath imagery using a Principal Component Analysisen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionAtmospheric Dynamics & Air Quality
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Physics, Astronomy and Mathematics
rioxxterms.typeJournal Article/Review

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