RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2021, Vol. 30 >> Issue (5): 1100-1109.doi: 10.11870/cjlyzyyhj202105007

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Study on Vegetation Change in Hunan Province Based on MODIS NDVI Time Series Data

SANG Guo-qing 1,2, TANG Zhi-guang 1, DENG Gang 1,2, GUAN Qing-dan 3, CHEN Hao 1, LI Chao-kui 1, WANG Xiao-ru 1,2   

  1. (1. National-Local Joint Engineering Laboratory of Geo-spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China; 2. School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; 3. Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China)
  • Online:2021-05-20 Published:2021-06-15

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Abstract: Using MODIS NDVI datasets from 2000 to 2018 as the main data sources, the spatiotemporal variation characteristics of NDVI in Hunan province and its change trend in the future were analyzed, as well as the relationship between NDVI and temperature, precipitation and sunshine duration. The results are as follows: (1) The NDVI of Hunan Province was relatively high with the annual average NDVI of 0.535, and high values of NDVI were mainly distributed in forest-dominated mountainous and hilly lands. The seasonal change of NDVI was significant, it peaked in August (0.674) and reached the lowest in Fabruary (0.363). (2) Generally, the NDVI of Hunan Province revealed a significant increase with the rate of 8.6%/10a during 2000-2018. The areas with significant increasing trend for NDVI accounted for 76.09% of the total study area, mainly distributed in the forest, cultivated land and grassland of central and northwestern Hunan province; And the area with significant decrease trend for NDVI accounted for only 1.46%, mainly distributed in the construction land of Chang-Zhu-Tan area and some field land in Dongting Lake Plain. (3) The NDVI in 76.59% of the study area was predicted to decrease in future, and particularly 23.25% of the area will follow a significant NDVI degradation trend. (4) There was a obvious positive correlation between NDVI, sunshine duration and temperature in winter of the study area.

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