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应用生态学报 ›› 2019, Vol. 30 ›› Issue (2): 536-544.doi: 10.13287/j.1001-9332.201902.016

• 研究论文 • 上一篇    下一篇

基于MODIS NDVI、SPOT NDVI数据的GIMMS NDVI性能评价

朱艺旋1,2张扬建1,2,3*俎佳星1,2车彬4唐泽1,2丛楠1,2李军祥1,2,5陈宁1,2   

  1. 1中国科学院地理科学与资源研究所, 生态网络观测与模拟重点实验室, 拉萨高原生态试验站拉萨高原生态试验站, 北京 100101;
    2中国科学院大学资源与环境学院, 北京 100190;
    3中国科学院青藏高原地球科学卓越创新中心, 北京 100101;
    4国家电网宁夏电力有限公司经济技术研究院, 银川 750000;
    5北京大学深圳研究生院, 广东深圳 518055
  • 收稿日期:2018-08-03 修回日期:2018-12-19 出版日期:2019-02-20 发布日期:2019-02-20
  • 通讯作者: E-mail:zhangyj@igsnrr.ac.cn
  • 作者简介:朱艺旋,女,1994年生,硕士研究生.主要从事全球变化生态学研究.E-mail:zhuyx.16s@igsnrr.ac.cn
  • 基金资助:
    本文由国家电网公司科学技术项目(SGxzzzlwzhbGCJS1700095)、中国科学院战略性先导科技专项(A类)(XDA19070303)、国家重点基础研究发展计划项目(2013CB956302,Y3G30010AI,2018YFA0606101)和西藏自治区科技计划项目 (Y66M2701AL)资助

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).

摘要: 以MODIS NDVI和SPOT NDVI数据为基准对2000—2015年重叠时段的GIMMS NDVI数据进行评价.在全国尺度以及水田、旱地、林地、草地4种土地类型上对比分析3种数据的数值差异、动态一致性、变化趋势差异和两两间相关性.结果表明: GIMMS NDVI在数值上整体高于MODIS NDVI和SPOT NDVI,3种数据在反映植被月动态方面能力相当;研究期内3种NDVI数据在全国大部分区域均呈增加趋势,GIMMS的增加幅度最小,且在我国西北、东北、中南、青藏高原及云贵高原的部分地区与另两套数据差异较大,表明在研究该区域时应对GIMMS NDVI数据的使用有所保留;各数据间两两相关性较强,在全国尺度上MODIS NDVI与SPOT NDVI的相关性更好,旱地GIMMS NDVI与MODIS NDVI的相关性更好,水田、林地、草地MODIS NDVI与SPOT NDVI的相关性更好.

关键词: GIMMS NDVI, SPOT NDVI, 一致性, 相关性, 趋势, MODIS NDVI, 空间分布

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