Remote Sensing Applications and Decision Support

Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery

[+] Author Affiliations
Hao Yang

Beijing Academy of Agriculture and Forestry Sciences, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China

Chinese Academy of Forestry, Institute of Forest Resource Information Techniques, Beijing 100091, China

Chunjiang Zhao, Guijun Yang, Lin Yuan, Xiaodong Yang, Xingang Xu

Beijing Academy of Agriculture and Forestry Sciences, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China

Zengyuan Li, Erxue Chen

Chinese Academy of Forestry, Institute of Forest Resource Information Techniques, Beijing 100091, China

J. Appl. Remote Sens. 9(1), 096076 (Mar 09, 2015). doi:10.1117/1.JRS.9.096076
History: Received October 9, 2014; Accepted February 17, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Hao Yang ; Chunjiang Zhao ; Guijun Yang ; Zengyuan Li ; Erxue Chen, et al.
"Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery", J. Appl. Remote Sens. 9(1), 096076 (Mar 09, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.096076


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