[1]WANG Lixia,ZHANG Jiawei,MENG Nina,et al.Simulation and Prediction of Temporal and Spatial Changes of NDVI in Weihe River Basin Based on CA-Markov[J].Research of Soil and Water Conservation,2020,27(04):206-212.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 04
Page number:
206-212
Column:
目次
Public date:
2020-06-20
- Title:
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Simulation and Prediction of Temporal and Spatial Changes of NDVI in Weihe River Basin Based on CA-Markov
- Author(s):
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WANG Lixia1, ZHANG Jiawei2, MENG Nina1, SUI Lichun1,4, ZHANG Shuangcheng1, LIU Zhao3
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(1.School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China; 2.School of Earth Science and Resources, Chang'an University, Xi'an 710054, China; 3.School of Environmental Science and Engineering, Chang'an University, Xi'an 710054, China; 4.Engineering Technology Research Center, National Geographical Monitoring National Surveying and Mapping Geographic Information Bureau, Xi'an 710054, China)
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- Keywords:
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normalized difference vegetation index; CA-Markov model; Weihe River Basin
- CLC:
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Q948.1
- DOI:
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- Abstract:
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Dynamic monitoring of vegetation plays an important role in indicating changes in climate and ecological environment. The Weihe River Basin is used as the research area. Firstly, the interannual NDVI value of the study area is calculated based on the MODIS NDVI China monthly synthesis data, and the grade is divided. Then based on the CA-Markov model, the NDVI grade is used as the cell type to calculate the transfer matrix of grades in different periods, in order to simulate the spatial distribution of NDVI in 2015; the simulated NDVI results with raw image data were compared to evaluate simulation accuracy and predict the spatial distribution of NDVI in 2020 and 2025. The results showed that:(1)the CA-Markov model was used to simulate the spatial variation of NDVI in the Weihe River Basin, the Kappa coefficient of the simulated results in 2015 was 0.785 0, the accuracy of the overlay analysis was 73.4%, and meets the accuracy requirements, the CA-Markov model can be used for the prediction of NDVI spatial distribution;(2)there are obvious spatial differences in vegetation cover in the Weihe River Basin; low vegetation cover areas and relatively lower vegetation cover areas mainly distributed in northern Shaanxi Province and the central of Gansu Province in the Loess Plateau, the medium vegetation cover areas mainly distributed in the Weihe River and Beiluohe River; in the valley area, the higher vegetation coverage areas mainly distributed in the Guanzhong Plain and Ziwuling Mountains, and the high vegetation coverage areas mainly distributed in the Qinling and Liupan Mountains;(3)during the period 2015—2025, the predicted vegetation cover in the basin will be further improved; the low vegetation coverage area, lower vegetation coverage area and medium vegetation coverage area will reduce, and the whole space will migrate northward; the area of higher vegetation coverage area and high vegetation coverage area will further increase, and the space will expand northward.