DocumentCode
47102
Title
Polarimetric Response of Rice Fields at C-Band: Analysis and Phenology Retrieval
Author
Lopez-Sanchez, Juan M. ; Vicente-Guijalba, Fernando ; Ballester-Berman, J. David ; Cloude, Shane R.
Author_Institution
Syst. & Telecommun. Group, Univ. of Alicante, Alicante, Spain
Volume
52
Issue
5
fYear
2014
fDate
May-14
Firstpage
2977
Lastpage
2993
Abstract
A set of ten RADARSAT-2 images acquired in fully polarimetric mode over a test site with rice fields in Seville, Spain, has been analyzed to extract the main features of the C-band radar backscatter as a function of rice phenology. After observing the evolutions versus phenology of different polarimetric observables and explaining their behavior in terms of scattering mechanisms present in the scene, a simple retrieval approach has been proposed. This algorithm is based on three polarimetric observables and provides estimates from a set of four relevant intervals of phenological stages. The validation against ground data, carried out at parcel level for a set of six stands and up to nine dates per stand, provides a 96% rate of coincidence. Moreover, an equivalent compact-pol retrieval algorithm has been also proposed and validated, providing the same performance at parcel level. In all cases, the inversion is carried out by exploiting a single satellite acquisition, without any other auxiliary information.
Keywords
crops; phenology; radar imaging; remote sensing by radar; vegetation mapping; C-band radar backscatter; RADARSAT-2 images; Seville; Spain; auxiliary information; equivalent compact-pol retrieval algorithm; fully polarimetric mode; ground data; parcel level; phenological stages; phenology retrieval approach; polarimetric observables; polarimetric response; rice fields; rice phenology; scattering mechanisms; single satellite acquisition; test site; Backscatter; Image color analysis; Monitoring; Polarimetry; Radar polarimetry; Satellites; Agriculture; phenology; polarimetry; rice; synthetic aperture radar (SAR);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2013.2268319
Filename
6562759
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