地理研究 ›› 2009, Vol. 28 ›› Issue (5): 1297-1306.doi: 10.11821/yj2009050016

• 地球信息科学 • 上一篇    下一篇

遥感反演土壤蒸发/植被蒸腾二层模型在华北地区的应用

田 静1,2, 苏红波2, 孙晓敏3, 陈少辉2   

  1. 1. 河海大学水文水资源与水利工程科学国家重点实验室, 南京 210098;
    2. 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室, 北京 100101;
    3. 中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101
  • 收稿日期:2008-11-14 修回日期:2009-03-24 出版日期:2009-09-25 发布日期:2009-09-25
  • 作者简介:田静(1979-),辽宁阜新人,助理研究员。研究方向为遥感水文。
  • 基金资助:

    河海大学水文水资源与水利工程科学国家重点实验室开放基金项目(2007490111);国家自然科学基金青年基金项目(40801141和40871170);地理科学与资源研究所知识创新工程新进所青年人才领域前沿项目(07v70050SZ)

Application of an operational two-layer model for soil evaporation and vegetation transpiration retrievals in North China

TIAN Jing1,2, SU Hong-bo2, SUN Xiao-min3, CHEN Shao-hui2   

  1. 1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
    2. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. Synthesis Center of Chinese Ecosystem Research Network, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2008-11-14 Revised:2009-03-24 Online:2009-09-25 Published:2009-09-25
  • Supported by:

    河海大学水文水资源与水利工程科学国家重点实验室开放基金项目(2007490111);国家自然科学基金青年基金项目(40801141和40871170);地理科学与资源研究所知识创新工程新进所青年人才领域前沿项目(07v70050SZ)

摘要:

利用一种可操作的地表蒸散遥感反演二层模型,以我国华北平原为研究区,选择2004年的3月至6月华北地区主要农作物冬小麦的生长季节作为研究时段,利用MODIS遥感卫星数据,结合地面130多个气象台站的空气温湿度实测数据,实现了土壤蒸发和植被蒸腾的反演。采用国家生态网络禹城综合试验站利用涡度相关系统观测的地表总蒸散半小时平均的数据进行了模型验证,结果表明模型估算的地表可利用能量与地面实测数据的相关系数可以达到0.92,均方差为30.4w.m-2;模型估算的地表总蒸散值与地面实测数据的相关系数为0.85,均方差为21.3 w.m-2,由此证明了模型的可用性。

关键词: 遥感, 土壤蒸发, 植被蒸腾, 二层模型, 华北平原

Abstract:

On the basis of an operational two-layer model for estimating soil evaporation and vegetation transpiration, the vegetation transpiration and the soil evaporation during the rapidly growing season of winter wheat in northern China are retrieved using MODIS satellite data and field measurement data from 137 standard meteorological stations. Pixel Component Arranging and Comparing Algorithm and Layered Energy-separating Algorithm are the key components of the model. The former is used for decomposing surface temperature of mixed pixel into soil temperature and vegetation temperature and the latter is used for calculating Bowen-ratio of soil and vegetation, respectively. A surface energy balance method is used to determine the theoretical boundary lines, namely 'true wet/cool edge' and 'true dry/warm edge', in the trapezoid composed of mixed surface temperature and vegetation fractional cover. The variables required for the model mainly include near surface vapor pressure, air temperature, surface resistance, aerodynamic resistance, fractional vegetation cover, surface temperature and net radiation. Also their retrievals are described in the paper. Terrestrial surface heat fluxes measured by the Eddy Correlation system at Yucheng Agro-ecosystem Station are used to validate the estimated results. It shows that the correlation coefficient between the estimated surface available energy and the measured is 0.92 and the root mean squares difference (RMSD) is 30.4w.m-2, the correlation coefficient between the estimated surface evapotranspiration and the measured value is 0.85 and RMSD is 21.3w.m-2. The above differences are mainly caused by: 1) the scale difference between the field measurement and the MODIS observation; 2) the non-closure problem of the surface energy balance from the surface fluxes observations; and 3) the effects of the horizontal and vertical advection on flux measurements.

Key words: remote sensing, soil evaporation, vegetation transpiration, two-layer model, North China Plain