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Improvements of regional evapotranspiration model by considering topography correction

机译:考虑地形校正的区域蒸散模型的改进

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摘要

A remote sensing regional evapotranspiration (ET) model was built on the basis of topography correction (slope, aspect and elevation), herein. A variety of satellite data which have visible, near-infrared and thermal infrared remote sensing data can be used by this improved model. Combined with conventional ground meteorological information, it can estimate regional distribution of ET under different climate and terrain conditions, expanding the scope of application. This research indicates that application of medium or high resolution satellite data to calculate regional ET under undulating landform should consider the impact of terrain. The analysis of the impact of the ET results simulated by the model in combination with terrain factors (altitude, slope, aspect) show that the ET results will overestimate about 30% in high altitude and shady slope region if the terrain is not taken into account. It improves the accuracy of ET estimates and has important reference value for the work of the regional water balance and regional agricultural climate research.
机译:本文基于地形校正(坡度,纵横比和海拔)建立了遥感区域蒸散量(ET)模型。此改进的模型可以使用具有可见,近红外和热红外遥感数据的各种卫星数据。结合常规地面气象信息,可以估算不同气候和地形条件下ET的区域分布,扩大了应用范围。这项研究表明,在起伏地貌下应用中或高分辨率卫星数据计算区域ET应该考虑地形的影响。对模型模拟的ET结果的影响结合地形因素(海拔,坡度,坡向)的分析表明,如果不考虑地形,则在高海拔和阴暗的斜坡地区,ET结果将高估约30% 。它提高了ET估算的准确性,对区域水平衡和区域农业气候研究工作具有重要的参考价值。

著录项

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

    Key Laboratory of Geo-information Science of the Ministry of Education, School of Resources and Environment Science, East China Normal University, Shanghai 200062, China;

    Key Laboratory of Geo-information Science of the Ministry of Education, School of Resources and Environment Science, East China Normal University, Shanghai 200062, China USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO;

    Key Laboratory of Geo-information Science of the Ministry of Education, School of Resources and Environment Science, East China Normal University, Shanghai 200062, China USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO Institute of Geographic Sciences and Na;

  • 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 (ET); topography; SEBAL model; landsat TM/ETM+;

    机译:蒸散(ET);地形; SEBAL模型;陆地卫星TM / ETM +;

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