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区域蒸发量的遥感研究现状及发展趋势 被引量:18

Survey and Headway of Study on Remote Sensing Remote Sensing Regional Evaporation
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摘要 遥感手段是解决区域蒸发量分布问题的重要方法。随着遥感和GIS技术的发展,定量遥感模型从大叶模型发展到两层、多层或多源模型,参数反演是其核心内涵,出现了比较系统的参数反演公式,但在参数反演时一般都需要风速、温度等参数,这些参数用遥感手段比较难以获得,这就限制了定量遥感模型的广泛应用,因此研究仅依靠遥感信息反演地表通量的定量模型是今后定量遥感模型的主要发展趋势。 It is an important method to estimate land surface evaporation of large region by using remote sensing data. With the development of remote sense and GIS technology, remote sensing evaporation model evolved from one-layer to two-layer model and four layer model. It introduces some remote sensing models of land surface evaporation such as surface energy balance system (SEBS), complementary Relationship (CR) and simplified surface energy balance index (S-SEBI), etc, and the retrial of land surface parameters is the model's main connotation from remote sensing data. The methods to derive land surface parameters such as impedance always need non-remote sensing data such as wind speed, temperature, so they restrict their application in water resources at large. Now the headway of remote sensing model is to derive land surface flux only by fully using remote sensing data.
出处 《水土保持学报》 CSCD 北大核心 2004年第2期174-177,182,共5页 Journal of Soil and Water Conservation
基金 国家重点基础研究发展规划(973)项目 资源环境与地理信息系统北京市重点实验室开放基金(G1999043606)
关键词 区域蒸发量 发展趋势 定量遥感模型 大叶模型 ragional evaporation remote sensing model
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参考文献26

  • 1Brown K W,Rosenberg N J. A resistance model to predict evapotranspiration and its application to a sugar beet field[J]. Agron. J. , 1973, 65:199-209.
  • 2Idso S B, Jackson R D, Reginato R J. Estimating evaporation: a technique adaptable to remote sensing [J]. Science,1975,189:991-992.
  • 3Jackson R D, Reginato R J, Idso S B. Wheat canopy temperature: a practical tool for evaluating water requirements[J]. Water Resour. Res. ,1977, 13:651-656.
  • 4Suguin B,Itier B. Using midday surface temperature to estimate daily evaporation from satellite thermal IR data [J]. Int. J.Re. Sens. , 1983, 4(2):371-383.
  • 5张仁华,孙晓敏,朱治林,苏红波,唐新斋.以微分热惯量为基础的地表蒸发全遥感信息模型及在甘肃沙坡头地区的验证[J].中国科学(D辑),2002,32(12):1041-1050. 被引量:51
  • 6Verma S B, Rosenberg N J, Blad B,et al. Baradas, Resistance-energy balance method for predicting evapotranspiration: Determination of boundary layer resistance and evaluation of error effects[J]. Agron. J. , 1976,68:106-116.
  • 7Hatfield J L,Perrier A,Jackson K D. Estimation of evapotranspiration at one-time-of-day using remotely sensed surface temperature[J]. Agric. Water. Manage. , 1983,7 : 105- 110.
  • 8谢贤群.遥感改进的测定农田蒸发量的能量平衡—空气动力学阻抗模式[J].气象学报,1988,46(1):102-106.
  • 9Webb E K. Profile relationships, the log linear range and extension to strong stability [J]. Q. J. R. Meteor. Soc. , 1976,96:85-100.
  • 10陈镜明.现有遥感蒸散模式中的一个重要缺点及改进[J].科学通报,1988,6:454-457.

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