Abstract：Currently,the extraction of winter wheat area has become the key point of winter wheat growth monitoring and yield estimation. Therefore,how to improve the accuracy of winter wheat planting area retrieval is one of the important topics in agricultural remote sensing at present and in the future. The retrieval model should be varying with the spatial resolution of satellite image so as to accurately retrieve winter wheat planting area from remote sensing images,and this is one of the important points of remote sensing of winter wheat planting area. In this study,the winter wheat planting area retrieval models are grouped into 5 different types, i.e., visual interpretation and computer automatic classification,classification based on pixel,classification based on parcel,remote sensing interpretative model classification and classification based on texture. The main research methods were described and evaluated,and the problems existent in current research work and the future development of remote sensing method for estimation winter wheat planting area were discussed. The focusing of the attention on the estimation of winter wheat area in the district with complex terrain,high land fragmentation and complex planting structure,the combination of remote sensing data with GIS data and meteorological data, the integration of multi-source remote sensing data with multi-temporal remote sensing data,the combination of ground spectral measurement data with high spectral data,and the changing of the validation data constitute the study direction for improving the accuracy of winter wheat planting area retrieval.
权文婷, 王钊. 冬小麦种植面积遥感提取方法研究[J]. 国土资源遥感, 2013, 25(4): 8-15.
QUAN Wenting, WANG Zhao. Researches on the extraction of winter wheat planting area using remote sensing method. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 8-15.
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2013, Vol. 25 
