9 March 2015 Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery
Hao Yang, Chunjiang Zhao, Guijun Yang, Zengyuan Li, Erxue Chen, Lin Yuan, Xiaodong Yang, Xingang Xu
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Abstract
Dynamic mapping and monitoring of crop harvest on a large spatial scale will provide critical information for the formulation of optimal harvesting strategies. This study evaluates the feasibility of C-band polarimetric synthetic aperture radar (PolSAR) for monitoring the harvesting progress of oilseed rape (Brassica napus L.) fields. Five multitemporal, quad-pol Radarsat-2 images and one optical ZY-1 02C image were acquired over a farmland area in China during the 2013 growing season. Typical polarimetric signatures were obtained relying on polarimetric decomposition methods. Temporal evolutions of these signatures of harvested fields were compared with the ones of unharvested fields in the context of the entire growing cycle. Significant sensitivity was observed between the specific polarimetric parameters and the harvest status of oilseed rape fields. Based on this sensitivity, a new method that integrates two polarimetric features was devised to detect the harvest status of oilseed rape fields using a single image. The validation results are encouraging even for the harvested fields covered with high residues. This research demonstrates the capability of PolSAR remote sensing in crop harvest monitoring, which is a step toward more complex applications of PolSAR data in precision agriculture.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2015/$25.00 © 2015 SPIE
Hao Yang, Chunjiang Zhao, Guijun Yang, Zengyuan Li, Erxue Chen, Lin Yuan, Xiaodong Yang, and Xingang Xu "Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery," Journal of Applied Remote Sensing 9(1), 096076 (9 March 2015). https://doi.org/10.1117/1.JRS.9.096076
Published: 9 March 2015
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Cited by 3 scholarly publications.
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KEYWORDS
Polarimetry

Synthetic aperture radar

Agriculture

Vegetation

Scattering

Remote sensing

Image resolution

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