首页> 外文期刊>地理学报(英文版) >基于遥感的黄河三角洲蒸散的动态分析
【24h】

基于遥感的黄河三角洲蒸散的动态分析

机译:基于遥感的黄河三角洲蒸散的动态分析

摘要

Evapotranspiration (ET) is an important parameter for water resource management.Compared to the traditional ET computation and measurement methods, the ET computation method based on remote sensing has the advantages of quickness, precision, raster mapping and regional scale. SEBAL, an ET computation model using remote sensing method is based on the surface energy balance equation which is a function of net radiance flux, soil heat flux, sensible heat flux and latent heat flux. The former three fluxes can be computed through the parameters retrieved from remote sensing image, then the latent heat flux can be obtained to provide energy for ET. Finally we can obtain the daily ET. In this study SEBAL was applied to compute ET in the Yellow River Delta of China where water resource faces a rigorous situation. Three Landsat TM images and meteorology data of 1999 were used for ET computation, and spatial and temporal change patterns of ET in the Yellow River Delta were analysed.
机译:Evapotranspiration(et)是水资源管理的重要参数。基于遥感的ET计算方法是Quickness快速,精度,光栅映射和区域尺度的优点。 Sebal,使用遥感方法的ET计算模型基于表面能量平衡方程,其是净辐射通量,土壤热通量,明智的热通量和潜热通量的函数。可以通过从遥感图像检索的参数来计算前三个助熔剂,然后可以获得潜热通量以提供ET的能量。最后,我们可以获得每日等。在本研究中,Sebal被应用于在中国的黄河三角洲计算等,水资源面临严格的情况。第三种Landsat TM图像和1999年的气象数据被用于ET计算,并分析了黄河三角洲的ET的空间和时间变化模式。

著录项

  • 来源
    《地理学报(英文版)》 |2003年第4期|408-415|共8页
  • 作者

    潘志强; 刘高焕; 周成虎;

  • 作者单位

    State Key Laboratory of Resource and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;

    State Key Laboratory of Resource and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;

    State Key Laboratory of Resource and Environment Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 河流;遥感技术的应用;
  • 关键词

    evapotranspiration; remote sensing; Yellow River Delta;

  • 入库时间 2022-08-19 04:09:49

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号