| Cite this article: | 贾博中,白燕英,魏占民.基于MODIS-EVI时间序列的内蒙古沿黄平原区作物种植结构分析[J].灌溉排水学报,0,():-. |
| jiabozhong,baiyanying,weizhanmin.基于MODIS-EVI时间序列的内蒙古沿黄平原区作物种植结构分析[J].灌溉排水学报,0,():-. |
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| Analysis of crop planting structure in the the plain along the Yellow River of Inner Mongolia Based on MODIS-EVI time series |
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jiabozhong, baiyanying, weizhanmin
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inner mongolia agricultural university
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| Abstract: |
| 【Background】Crop planting structure is the main basis for crop growth monitoring and yield estimation analysis, crop planting structure adjustment and optimization, and crop irrigation management.Compared with the time-consuming and laborious traditional manual investigation, remote sensing technology has the advantages of low cost, short observation period and wide coverage.It is widely used in the extraction of crop planting structure, and gradually become a popular method.Therefore, how to apply remote sensing images and adopt appropriate classification methods to obtain higher accuracy classification results has become an important direction of low-cost and high-precision agricultural remote sensing research.Remote sensing extraction of crop planting structure is the main method of crop planting structure extraction.【Objective】To obtain agricultural resource information along the Yellow Plain in Inner Mongolia, and improve the efficiency and accuracy of crop planting structure classification in medium and low resolution remote sensing image in large area.【Method】Multi-temporal crop classification method makes full use of crop seasonal characteristics, can clearly reflect the change trend of different crops over time, and can effectively reduce crop misclassification phenomenon.A time series curve of enhanced vegetation index (EVI) was constructed along the Yellow Plain in Inner Mongolia. According to the difference of EVI time series curve of different crops, the planting structure of wheat, corn, sunflower, zucchini, tomato and alfalfa was analyzed.【Result】The user accuracy of wheat, corn, sunflower, zucchini, tomato, alfalfa and other crops is 79.59%, 80%, 83.67%, 78.18%, 75.93%, 82.22% and 68.75% respectively, and the mapping accuracy is 78%, 80%, 82%, 86%, 82%, 74%, 74% and 66%, respectively. The overall classification accuracy of crops is 78.29%, and the kappa coefficient is 0.747.According to statistics, the total field statistical area of maize planted along the Yellow River irrigation area is 7,912.17 km2, and the area extracted in this paper is 7,412.75 km2, and the relative error can be obtained as 6.31%.【Conclusion】By analyzing the time series based on MODIS-EVI, the main crops in the large-scale survey area can be identified more accurately, and the method can achieve better classification results in the low-resolution images in the large area. |
| Key words: MODIS;EVI;Time series;Planting structure;the plain along the Yellow River |
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