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Journal of Applied Remote Sensing

Agricultural crop harvest progress monitoring by fully polarimetric synthetic aperture radar imagery
Author(s): Hao Yang; Chunjiang Zhao; Guijun Yang; Zengyuan Li; Erxue Chen; Lin Yuan; Xiaodong Yang; Xingang Xu
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Paper 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.

Paper Details

Date Published: 9 March 2015
PDF: 11 pages
J. Appl. Remote Sens. 9(1) 096076 doi: 10.1117/1.JRS.9.096076
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Hao Yang, Beijing Academy of Agriculture and Forestry Sciences (China)
Chinese Academy of Forestry (China)
Chunjiang Zhao, Beijing Academy of Agriculture and Forestry Sciences (China)
Guijun Yang, Beijing Academy of Agriculture and Forestry Sciences (China)
Zengyuan Li, Chinese Academy of Forestry (China)
Erxue Chen, Chinese Academy of Forestry (China)
Lin Yuan, Beijing Academy of Agriculture and Forestry Sciences (China)
Xiaodong Yang, Beijing Academy of Agriculture and Forestry Sciences (China)
Xingang Xu, Beijing Academy of Agriculture and Forestry Sciences (China)


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