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Application of MODIS data for assessment of evapotranspiration and drought in Northern China

机译:MODIS数据在华北地区蒸散和干旱评估中的应用

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摘要

The objectives of this study are to explore the performance of MODIS remote sensing data in large scale ET and drought mapping based on physical consideration of land surface energy balance. It was revealed from the analysis results that ET derived from MODIS data was in very good agreement with the measured by lysimeter with the consistency index of 0.917, correlation coefficient of 0.872, and daily relative error of-11.34%. Further, regional water stress index (RWSI) was derived from ET by remote sensing demonstrated a strong correlation with field measured soil moisture and is more significantly correlative to mean 0-20cm soil moisture. The case study conducted for fall drought monitoring in North China during years 2005-2006 indicated that the spatial distribution of drought conditions evaluated from RWSI was in good agreement with actual precipitation and drought status. As the efficient method on the basis of relative soil moisture and ET by MODIS data only with Yucheng station measurements, yet more extensive validation with field measurements at regional scale is necessary to be done to discriminate the effects and the accuracy of the proposed RWSI method.
机译:这项研究的目的是基于对地面表面能量平衡的物理考虑,探索MODIS遥感数据在大规模ET和干旱测绘中的性能。分析结果表明,MODIS数据得到的ET与溶渗仪测得的一致性很好,一致性指数为0.917,相关系数为0.872,日相对误差为-11.34%。此外,通过遥感从ET得出的区域水分胁迫指数(RWSI)与实地测得的土壤湿度有很强的相关性,并且与0-20cm的平均土壤湿度有更显着的相关性。 2005-2006年间对华北地区秋季干旱监测的案例研究表明,RWSI评估的干旱状况的空间分布与实际降水和干旱状况非常吻合。作为仅基于雨城站测量的基于MODIS数据的基于土壤相对湿度和ET的有效方法,还需要对区域规模的野外测量进行更广泛的验证,以区分所提出的RWSI方法的效果和准确性。

著录项

  • 来源
  • 会议地点 San Diego CA(US)
  • 作者单位

    Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China Key Laboratory of Geo-information Science of the Ministry of Education, East China Normal University, Shanghai, 200062, China;

    Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China Key Laboratory of Geo-information Science of the Ministry of Education, East China Normal University, Shanghai, 200062, China USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO;

    USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO Institute of Geographic Sciences and Natural Resources Research, Chinese A;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

    evapotranspiration; RWSI; drought; MODIS;

    机译:蒸散RWSI;干旱;莫迪斯;

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