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Chinese Journal of Applied Ecology ›› 2019, Vol. 30 ›› Issue (2): 536-544.doi: 10.13287/j.1001-9332.201902.016

• Original Articles • Previous Articles     Next Articles

Performance evaluation of GIMMS NDVI based on MODIS NDVI and SPOT NDVI data.

ZHU Yi-xuan1,2, ZHANG Yang-jian1,2,3*, ZU Jia-xing1,2, CHE Bin4, TANG Ze1,2, CONG Nan1,2, LI Jun-xiang1,2,5, CHEN Ning1,2   

  1. 1Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China;
    3Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;
    4Economy and Technology Institute of State Grid Ningxia Electric Power Limited Company, Yinchuan 750000, China;
    5Peking University Shenzhen Graduate School, Shenzhen, 518055, Guangdong, China
  • Received:2018-08-03 Revised:2018-12-19 Online:2019-02-20 Published:2019-02-20
  • Supported by:
    This work was supported by the Science and Technology Program of State Grid Corporation of China (SGxzzzlwzhbGCJS1700095), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070303), the National Basic Research Program of China (2013CB956302, Y3G30010AI, 2018YFA0606101) and the Science and Technology Program of Tibet Autonomous Region (Y66M2701AL).

Abstract: The study evaluated GIMMS NDVI based on MODIS NDVI and SPOT NDVI over the same period from 2000 to 2015. We assessed their absolute values, dynamics, trends and cross-relationships between any two of the NDVIs for the national scale, as well as four separate land use types, i.e., paddy field, dry land, forest, and grassland. GIMMS NDVI was numerically greater than MODIS NDVI and SPOT NDVI. The three NDVIs exhibited equal capability of capturing monthly phenological variations. During the study period, the three NDVIs showed increasing trends in most regions, with GIMMS NDVI showing the smallest increment. Pronounced differences were identified in trends between GIMMS NDVI and MODIS NDVI or SPOT NDVI in the northwest, northeast, south-central China, Tibetan Plateau and Yunnan-Guizhou Plateau, implying that GIMMS NDVI trends in these regions should be interpreted with caution. High correlations existed between the three datasets. MODIS NDVI and SPOT NDVI showed stronger correlations at national scale. The GIMMS NDVI and MODIS NDVI were in highest accordance for dry land, while MODIS NDVI and SPOT NDVI were in higher accordance for the paddy field, forest, and grassland than dry lands.

Key words: GIMMS NDVI, SPOT NDVI, consistency, correlation, trend, MODIS NDVI, spatial distribution