地理研究 ›› 2013, Vol. 32 ›› Issue (5): 817-827.doi: 10.11821/yj2013050005

• 地表过程 • 上一篇    下一篇

基于ETM+与MODIS数据融合的伊洛河流域地表蒸散估算

王万同1,2, 王卷乐2, 杜佳2   

  1. 1. 河南大学环境与规划学院, 河南开封475001;
    2. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京100101
  • 收稿日期:2012-07-28 修回日期:2013-01-17 出版日期:2013-05-10 发布日期:2013-05-10
  • 通讯作者: 王卷乐(1976- ),男,博士,副研究员,主要从事地理信息系统研究。E-mail:wangjl@igsnrr.ac.cn E-mail:wangjl@igsnrr.ac.cn
  • 作者简介:王万同(1974- ),男,博士,主要从事遥感影像处理及定量遥感研究。E-mail:kfwwt@yahoo.com.cn
  • 基金资助:

    国家科技基础性工作专项重点项目(2011FY110400)

Land surface evapotranspiration estimation of Yiluo River Basin based on fusion of ETM+and MODIS data

WANG Wantong1,2, WANG Juanle2, DU Jia2   

  1. 1. College of Environment and Planning, Henan University, Kaifeng 475001, Henan, China;
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2012-07-28 Revised:2013-01-17 Online:2013-05-10 Published:2013-05-10

摘要: MODIS数据时间分辨率较高,在对地能量和水分变化监测应用中具有不可比拟的优势。但其空间分辨率较低,混合象元效应显著,尤其在地表土地利用类型复杂和空间异质性较大时,会带来较大的误差。而ETM+数据具备较高的空间分辨率,但其单一的热红外波段导致反演的地表温度精度不高,且时间分辨率低,因而限制了在地表蒸散监测中的应用。本文探讨了将TM/ETM+与MODIS数据相融合估算区域地表蒸散的一种多尺度遥感方法,利用TM/ETM+计算得到的植被指数,基于空间增强方法将MODIS反演的地表温度尺度提高到30 m,并结合SEBS模型对伊洛河流域的地表蒸散进行了估算。验证与分析的结果表明,估算精度得到提高,研究区当日蒸散量在0~5.32 mm/d之间,空间分布具有明显的地域性差异,区域分布不均衡。

关键词: 遥感, 地表蒸散, 数据融合, ETM+, MODIS, 伊洛河流域

Abstract: The Moderate Resolution Imaging Spectroradiometer(MODIS)data has a high time resolution,which,at present,is an ideal data source in simulative monitoring of regional-scale changes in surface energy and water.However,the spatial resolution of its thermal infrared band is relatively low(1 km).When there are large differences in the space and underlying surface geometry structure,MODIS has significant spatial scale effects (mixed-pixel),and cannot analyze the underlying surface changes within the pixel and the resulting estimation error.The TM/ETM+data have a high spatial resolution,but their single thermal infrared bands can lead to the fact that the inversion accuracy for the surface temperature is not high,and that the time resolution is low.This limits its application in the surface evapotranspiration(ET)monitoring.Combining TM/ETM+visible wave band with MODIS thermal infrared wave band,this paper discusses a multi-scale remote sensing method to estimate regional surface ET.On the basis of space enhancement method,the vegetation index estimated by TM/ETM+enhances the surface temperature scale with the inversion of MODIS to a 30 m resolution,which aims to improve the estimation accuracy of ET in the non-uniform surface mixed-pixel.Using multi-scale remote sensing method and SEBS model,this paper estimates the surface ET in the Yiluo River Basin in combination of ground measured data for validation and analysis.The results show that this method has a higher accuracy of ET estimation compared with the method of only using MODIS or ETM+ data.Moreover,it can obtain a more obvious effect on scale correction in the uneven land surface or various surface covering types,and the corrected ET is close to the observation result.The ET in the study area is 0-5.32 mm/d,and the spatial distribution of surface ET has significant uneven regional differences,which has a high degree in the south,a low degree in the north,and high in the mountain,low in the valley.

Key words: remote sensing, land surface evapotranspiration, data fusion, ETM+, MODIS, Yiluo River Basin