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准全球陆表干旱严重程度的多传感器遥感监测方法研究

陈洪萍 贾根锁 冯锦明 董燕生 张安治

陈洪萍, 贾根锁, 冯锦明, 董燕生, 张安治. 准全球陆表干旱严重程度的多传感器遥感监测方法研究[J]. 大气科学, 2014, 38(5): 939-949. doi: 10.3878/j.issn.1006-9895.2013.13219
引用本文: 陈洪萍, 贾根锁, 冯锦明, 董燕生, 张安治. 准全球陆表干旱严重程度的多传感器遥感监测方法研究[J]. 大气科学, 2014, 38(5): 939-949. doi: 10.3878/j.issn.1006-9895.2013.13219
CHEN Hongping, JIA Gensuo, FENG Jinming, DONG Yansheng, ZHANG Anzhi. Monitoring Global Land Surface Drought Severity by Multi-Sensors Remote Sensing Data[J]. Chinese Journal of Atmospheric Sciences, 2014, 38(5): 939-949. doi: 10.3878/j.issn.1006-9895.2013.13219
Citation: CHEN Hongping, JIA Gensuo, FENG Jinming, DONG Yansheng, ZHANG Anzhi. Monitoring Global Land Surface Drought Severity by Multi-Sensors Remote Sensing Data[J]. Chinese Journal of Atmospheric Sciences, 2014, 38(5): 939-949. doi: 10.3878/j.issn.1006-9895.2013.13219

准全球陆表干旱严重程度的多传感器遥感监测方法研究

doi: 10.3878/j.issn.1006-9895.2013.13219
基金项目: 国家重点基础研究发展计划(973 计划)项目2012CB956202,中科院战略性先导科技专项XDA05090200

Monitoring Global Land Surface Drought Severity by Multi-Sensors Remote Sensing Data

  • 摘要: 在全球气候变暖的背景下,持续的干旱事件将对生态系统和人类社会产生不利影响。尽管存在多源卫星遥感资料及多种干旱指数,然而区域和全球尺度干旱事件的监测仍具有挑战。采用TRMM(Tropical RainfallMeasuring Mission)数据量化降水异常、MODIS(Moderate Resolution Imaging Spectroradiometer)归一化植被指数(Normalized Difference Vegetation Index,NDVI)和陆表温度(Land Surface Temperature,LST)数据表征植被生长异常,构建了一种兼顾降水异常和植被生长状况异常的多传感器陆表干旱严重程度指数(Multi-sensorsDrought Severity Index,MDSI)。结果表明:MDSI 能够准确检测准全球范围(50°S~50°N,0°~180°~0°)的气象干旱事件,如亚马逊流域2005 和2010 年干旱、中国川渝地区2006 年干旱、中国云南2010 年干旱、非洲东部2011 年干旱、2012 年美国中部干旱等;MDSI 与PDSI(Palmer Drought Severity Index)呈现出大致相同的干湿空间格局,并且MDSI 有助于湿润地区干旱程度的检测。
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  • 收稿日期:  2013-07-19
  • 修回日期:  2013-12-26

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