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Remote Sensing Technology and Application
Early Estimation of Winter Wheat Planting Area in Qingyang City by Decision Tree and Pixel UnmixingMethods based on GF-1 Satellite Data
Wang Kai1,Zhao Jun1,Zhu Guofeng1,2,Zhang Peiyun3,Liu Jiangtao4,Cheng Dongdong1
(1.College of Geography and Environment Science,Northwest Normal University,Lanzhou 730070,China;
2.State Key Laboratory of Cryospheric Sciences,Cold and Arid Regions Environmental and Engineering
Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China;
3.College of Urban andEnvironmental Science,Northwest University,Xi’an 710127,China;4.Office of Agricultural resources andRegional Planning,Agriculture and Animal Husbandry Bureau,Linxia 731100,China)
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Abstract  In Northwest China,there are many mixed pixels in the winter wheat area,so the combination of decision tree and mixed pixel decomposition is of great significance to improve the interpretation accuracy.The data source of this result is GF-1 satellite data which excellent in the high temporal resolution and high spatial resolution.Based on the difference about variation characteristics and NDVI value for winter wheat and the other crops in different phase data,we build decision tree to extract winter wheat pixels preliminary.Then selected linear spectral mixture model,further analysis the previous data by mixed pixel decomposition,get the final planting area data more exactly.Compared with the winter wheat samples measurement data,calculate the extraction accuracy eventually.The result shows that the extraction accuracy of winter wheat planting area in the study area was more than 90%,Kappa coefficient is close to 0.8,can reflect the distribution of winter wheat in the region accurately.This study found that the method which combined with decision tree classification and pixel unmixing based on high resolution remote sensing image can extract the winter wheat planting area precisely,This is helpful for the development of crop area remote sensing monitoring.
Key words:  Winter Wheat      Cultivated area      Early estimation      Remote sensing      Decision Tree      Pixel Unmixing     
Received:  16 March 2016      Published:  16 March 2018
TP 79  
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Wang Kai
Zhao Jun
Zhu Guofeng

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Wang Kai,Zhao Jun,Zhu Guofeng. Early Estimation of Winter Wheat Planting Area in Qingyang City by Decision Tree and Pixel UnmixingMethods based on GF-1 Satellite Data. Remote Sensing Technology and Application, 2018, 33(1): 158-167.

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