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In this paper, MODIS normal difference vegetation index (MODIS NDVI) products of Huang-Huai-Hai Plain in 2001, 2005, 2010, 2015, and 2018 are used as data sources. With the help of MRT, ENVI, ArcGIS, and Excel software operating platforms, at the same time, using maximum value composites method, mean method, unary linear regression method, and trend analysis method to generate the time series data of monthly, seasonal, and annual NDVI, which is to study and analyze the spatial and temporal change characteristics and laws of vegetation in Huang-Huai-Hai Plain. The results show that in the past 18 years, the average annual NDVI has shown a downward trend. On the time scale, the NDVI has obvious seasonal and interannual variations with growing fastest in summer and the maximum occurring in July, while the growth rate in spring and autumn is relatively flat and the minimum occurring in December. On the spatial scale, the NDVI has fewer growth regions that are mainly distributed in the central and western regions, while the regions where NDVI declines are relatively more and mainly distributed in the northern and southern. © Springer Nature Singapore Pte Ltd 2020.
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ISSN: 2194-5357
Year: 2020
Volume: 1031 AISC
Page: 475-480
Language: English
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WoS CC Cited Count: 0
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 2
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