自然资源学报

自然资源学报 ›› 2003, Vol. 18 ›› Issue (2): 155-160.doi: 10.11849/zrzyxb.2003.02.005

• “黄河流域水循环动力机制与模拟”专题研究 • 上一篇    下一篇

利用累积NDVI估算黄河流域年蒸散量

孙睿1, 刘昌明2,3, 李小文1   

  1. 1. 北京师范大学资源与环境科学系, 遥感与GIS研究中心, 北京 100875;
    2. 北京师范大学环境科学研究所, 北京 100875;
    3. 中国科学院地理科学与资源研究所, 北京 100101
  • 收稿日期:2002-08-29 修回日期:2002-12-10 出版日期:2003-04-25 发布日期:2003-04-25
  • 作者简介:孙睿(1970～),男,甘肃通渭人,副教授,博士,主要从事植被生产力与地表通量的遥感应用研究.
  • 基金资助:

    国家重点基础研究规划项目(G1999043601;G20000779).

Estimation of evapotranspiration in the Yellow River basin using integrated NDVI

SUN Rui1, LIU Chang-ming2,3, LI Xiao-wen1   

  1. 1. Departement of Geography, Center of Remote Sensing and GIS Research, Beijing Normal University, Beijing 100875, China;
    2. Institute of Environmental Sciences, Beijing Normal University, Beijing 100875, China;
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2002-08-29 Revised:2002-12-10 Online:2003-04-25 Published:2003-04-25

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被引次数

75 | 22

摘要： 地表蒸散的准确估算在流域水资源的评价、干旱监测及农作物产量模拟研究中很重要,论文通过建立年蒸散量与累积NDVI及相对湿润指数之间的关系,利用1982～2000年8km分辨率的AVHRRNDVI资料及月平均气温和月降水量资料,对黄河流域近20年来地表蒸散的时空分布进行了分析,并利用水文站径流观测资料对估算结果进行了检验。结果表明,黄河流域多年平均年蒸散量是389mm,年际间变化很大,空间分布格局是东南部蒸散量最大,其次是兰州以上区间,宁蒙河段及鄂尔多斯高原蒸散量最小;全流域平均蒸散估算误差比较小,吻合比较好。

关键词: 遥感, 蒸散, 植被指数, 黄河流域

Abstract: It is important to estimate surface evapotranspiration(ET)precisely in the process of basin water resources evaluation,drought monitoring and crop production simulation.In this paper,a relationship between annual evapotranspiration,integrated NDVI and relative moisture index was firstly established.Based on the relationship,the spatial distribution and dynamic change of annual ET in the Yellow River basin in recent 20years were estimated and analysed by using integrated AVHRR NDVI data,monthly mean air temperature and precipitation.In order to validate the model,the observed runoff data from hydrological station were also used.The results show that the mean annual ET of the Yellow River basin is389mm with great interannual variations.ET is the highest in southeast and the lowest in Erdos Plateau.

Key words: remote sensing, evapotranspiration, vegetation index, the Yellow River basin

中图分类号: 

  • P407.8:P333.1