National-scale Mapping of Winter Wheat in China Using GF-1 Imagery

doi:10.11924/j.issn.1000-6850.casb18100006

Abstract

Abstract: To realize the automatically extraction of winter wheat, a classification algorithm based on weighted NDVI index (WNDVI) is proposed to construct the winter wheat classification units. Based on the WNDVI, the division thresholds between winter wheat area and other areas were determined by an adaptive method. Taking GF-1/WFV images from October 2013 to May 2014 as an example, WNDVI from 1180 classification units of 14 provinces (city and regions) in China was created. Spatial distribution maps of major winter wheat production areas were produced in 2014. The accuracy verification of the results was conducted with 14233 samples, and the overall accuracy reached 90.6%. The proposed method is highly automated, its results are stable, and it is suitable for large-scale monitoring of winter wheat areas.

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