| 引用本文: | 韩宇平,冯 吉,陈 莹,等.基于NDVI时序数据的不同水源灌溉面积分类研究：以人民胜利渠灌区为例[J].灌溉排水学报,2020,39(2):129-137. |
| ,et al.基于NDVI时序数据的不同水源灌溉面积分类研究：以人民胜利渠灌区为例[J].灌溉排水学报,2020,39(2):129-137. |
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| 摘要: |
| 灌溉面积是水土资源利用的重要指标，灌溉面积监测是灌区和农业水资源管理的基础。【目的】探索不同水源的灌溉面积的遥感分类方法。【方法】基于人民胜利渠灌区2017年的Landsat8卫星数据和2012年的MODIS卫星数据，提取了灌区NDVI时序数据曲线，分别采用监督分类和非监督分类方法对灌区不同水源的灌溉面积进行分类，并结合实地调查资料对分类结果进行验证。【结果】非监督分类方法并不适用于灌区尺度的灌溉水源分类；基于MODIS数据的分类效果较差，分类精度为57.14%；基于Landsat8数据的NDVI时序数据和监督分类的结果较好，分类精度达到73.58%。【结论】空间分辨率较高的NDVI时序数据可对灌区灌溉水源进行分类。 |
| 关键词: NDVI时序数据；灌溉面积；灌溉水源；Landsat；MODIS |
| DOI：10.13522/j.cnki.ggps. 20190251 |
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| Using NDVI time series data to discern areas irrigated with different water sources: Taking People’s Victory Canal Irrigation District as an Example |
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LI Songjing，FAN Xiangyang，JING Ruoyao，HU Chao，WANG Hezhou，HUANG Zhongdong
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1.Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453002, China;2.Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3. Key Laboratory of High-efficient and Safe Utilization of Agriculture Water Resources, Chinese Academy of Agricultural Sciences, Xinxiang 453002, China; 4.Agricultural Water Soil Environmental Field Research Station of Xinxiang, Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
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| Abstract: |
| 【Objective】This study aimed to provide a basis for the expansion and application of the commensurability theory in the field of drought prediction and early warning.【Method】Based on the historical drought data of Henan province from 1961 to 2016, this paper adopted analytic hierarchy process (AHP), MATLAB and SAS software to predict the year of drought occurrence, which was compared with the prediction results of the predecessors and the prediction results of the Butterfly structure diagram.【Result】Based on the commensurability theory of the ternary, quaternary and quintuple prediction models, it was predicted that the highest frequency of severe drought in Henan Province in 2014 , that is, the probability of occurrence of drought is the highest, which is consistent with the actual situation. Based on the above data, it is predicted that the year of severe drought in Henan Province before 2030 is 2023, which is consistent with the prediction of the Butterfly structure diagram and the results of previous studies. 【Conclusion】The method has strong practicability when predicting the year of occurrence of regional drought. The application of AHP, MATLAB and SAS greatly improves the calculation speed of the model, reduces the artificial influence of subjective factors on the prediction results, and improves the accuracy of the calculation results. |
| Key words: drought prediction; commensurability; analytic hierarchy process; Butterfly structure diagram |
