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| DOI：10.13522/j.cnki.ggps.2017.0268 |
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| Monitoring Cropland Types at Village-town Scale in Hetao Irrigation District Using High-resolution Satellite Images |
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CHEN Zhisen， SI Bingcheng
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Key Laboratory of Agricultural Soil and Water Engineering in Arid Area, Ministry of Education, Northwest A&F University, Yangling 712100, China; 2.Institute of Water-Saving Agriculture in Arid Area of China, Northwest A&F University, Yangling 712100, China
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| Abstract: |
| 【Objective】 Knowing the cultivation areas of different crops in a catchment or irrigation district is essential to improve agricultural management, and the purpose of this paper is to study the feasibility of using high-resolution satellite images to monitor the crop maps at village-town scale. 【Method】 We took Hetao Irrigation District as an example, the cultivation areas of different crops in which were calculated using the maximum likelihood method based on high-resolution remote sensing images. The accuracy of the calculated crop maps was verified against field survey data. 【Result】 High-resolution remote sensing images and the maximum likelihood method were efficacy to estimate crop maps at village-town scale in this region. Compared with the survey data, the error of the cultivated areas of maize and sunflower estimated by the proposed method was less than 9%. The images in 2013 and 2015 were least impacted by weather, and the accuracy of all estimated results was approximately 95% with a Kappa of 0.94. It was found that the cultivated area of maize has been increasing at the expense of sunflower and uncultivated land due to agricultural production reconstruction. 【Conclusion】 Combining high-resolution remote sensing images and the maximum likelihood method proved to be an effective and accurate method to estimate crop maps at village-town scale. |
| Key words: remote sensing; monitoring; planting area; scale； irrigation district |
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