RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2020, Vol. 29 >> Issue (6): 1343-1355.doi: 10.11870/cjlyzyyhj202006009

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Variation in Land Use and Land Surface Parameters in the Three Gorges Reservoir Catchment Based on Google Earth Engine

HAO Bin-fei 1,2, YANG Hong 2,3, MA Ming-guo 1,2, HAO Da-lei 4, LIU Yi-tao 5, HAN Xu-jun 1,2, LI Shi-wei 6, LAI Pei-yu 1,2, HUANG Jing 1,2, GE Zhong-xi 1,2, WANG Shu-jing 1,2   

  1. ( 1. Southwest University, School of Geographical Sciences, Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Karst Ecosystem, Ministry of Education, Chongqing 400715, China; 2. Chongqing Engineering Research Center for Remote Sensing Big Data Application, Southwest University, Chongqing 400715, China; 3. Department of Geography and Environment Science, University of Reading, Reading RG6 6AB, UK; 4. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 5. Chengdu Land and Resources Information Center, Chengdu Municipal Bureau of Planning and Natural Resources, Chengdu 610042, China; 6. ShangZheng (Beijing) Information Technology Co., Ltd, Beijing 100086, China)
  • Online:2020-06-20 Published:2020-07-20

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Abstract: Abstract：Land use and land cover change (LUCC) has been a force of global importance, affecting the spatiotemporal variations of vegetation coverage, land surface temperature (LST), albedo and other land surface parameters. Since the construction of the Three Gorges Project (TGP) was commenced, LUCC in the Three Gorges Reservoir Catchment (TGRC) has received increasing attention. In this study, the land cover classification data with a spatial resolution of 300 m acquired from the European Space Agency (ESA) were used to analyze the land use change in the TGRC from 2000 to 2015. The Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), LST and albedo data were obtained through the advanced Google Earth Engine (GEE) platform, and then their spatiotemporal patterns were analyzed. The relationships between seasonally integrated NDVI (i.e., SINDVI), LST, and albedo were investigated, respectively. The influences of land use change on SINDVI, LST, and albedo were analyzed. Our results show that the remarkable land use change has appeared in the TGRC from 2000 to 2015. The cultivated land, grassland, and shrubland decreased by 2.4%, 0.05%, and 0.62%, respectively, while the forest, waterbody, and artificial surface increased by 1.98%, 0.04%, and 1.06%, respectively. During the research period, SINDVI increased by 2.89, LST decreased by 0.224℃, and albedo decreased by 0.002. The spatial distribution of SINDVI showed an increasing trend, while the LST and albedo showed declining trends. There was a negative relationship between SINDVI and LST, as well as a negative relationship between SINDVI and albedo in most areas of the TGRC. Different land use types present various effects on SINDVI, LST, and albedo. The quantitative relationships between LUCC and the key land surface parameters in the TGRC were analyzed systematically from 2000 to 2015, and the results will provide guidelines for the evidence-based policy for better management of the natural environment and land resources in the TGRC region.

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