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| 遥感技术应用于地表面蒸散发的研究进展 | |
| 引用本文： | 郭晓寅,程国栋.遥感技术应用于地表面蒸散发的研究进展[J].地球科学进展,2004,19(1):107-114. |
| 作者姓名： | 郭晓寅 程国栋 |
| 作者单位： | 1. 中国气象科学研究院,北京,100081 2. 中国科学院寒区旱区环境与工程研究所冻土工程国家重点实验室,甘肃,兰州,730000 |
| 基金项目： | 中科院寒区旱区环境与工程研究所知识创新工程项目"黑河流域交叉集成研究的模型开发和模拟环境建设"(编号:CACX2003102)，"黑河虚拟数字流域及动态管理系统"(编号:CACX210018)资助 |
| 摘 要： | 蒸散既是地表水分循环的重要组成部分，也是能量平衡的主要项。地表热量、水分收支状况在很大程度上决定着地理环境的组成和演变，清楚地认识蒸散发，对了解大范围内能量平衡和水分循环具有重要意义。目前，已发展了从
传统方法、模拟方法到遥感方法的很多种方法用于估算蒸散发。遥感方法以其能够获知大范围地表特征信息的优势为较准确估算地表蒸散发提供了可能，从而受到人们的日益重视。介绍了研究蒸散发的各种方法，并探讨了利用遥感方法研究蒸散发的优缺点和未来的发展前景。 |
| 关 键 词： | 蒸散 传统方法 陆面过程模型 遥感 |
| 文章编号： | 1001-8166(2004)01-0107-08 |
| 修稿时间： | 2002年11月15 |
ADVANCES IN THE APPLICATION OF REMOTE SENSING TO EVAPOTRANSPIRATION RESEARCH |
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| GUO Xiao-Yin,CHENG Guo-Dong.ADVANCES IN THE APPLICATION OF REMOTE SENSING TO EVAPOTRANSPIRATION RESEARCH[J].Advance in Earth Sciences,2004,19(1):107-114. | |
| Authors: | GUO Xiao-Yin CHENG Guo-Dong |
| Institution: | 1. Chinese Academy of Meteorological Sciences, Beijing 100081,China；2. State Key Laboratory of Cold Soil Engineering, Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Sciences，Lanzhou 730000，China |
| Abstract: | Evapotranspiration is not only an important component in hydrological cycle, but also a main part of energy balance. Estimation of the evapotranspiration is essential for understanding the large-scale energy and water balance. Many methods, including traditional methods, land surface process model and remote sensing, have been developed to estimate evapotranspiration. For gaining large-scale land surface characteristic information, remote sensing techniques make it possible to estimate evapotranspiration quite accurately. There are a lot of remote sensing methods to estimate evapotranspiration, which can be summarized as follows: statistical (empirical) and half-statistical models, physical models and numerical models and each method has its own advantages and disadvantages. According to the present studies, most remote sensing methods mainly use visible, near-infrared and thermal infrared wave bands. The former two bands are used to estimate canopy density and albedo and thermal infrared band can provide information about land surface temperature. In recent studies, a few models have been developed to estimate land surface water status and land surface temperature by using microwave data instead of optical remotely sensed data. A lot of retrieval algorithms have been developed in retrieving land surface parameters such as albedo, land surface temperature and emissivity. For example, land surface temperature, an important land surface parameter, can be estimated well by means of split window technique. Great progresses have been achieved in the application of remote sensing technology to evapotranspiration research, but some problems must be resolved to improve the precision of these evapotranspiration models. ①The energy fluxes change of hourly, daily even longer time scale from observations of remote sensing are instantaneous. ②Air temperature of each pixel can not be obtained directly while most models are sensitive to difference of surface radiative temperature and air temperature. ③ Influences of atmospheric correct, radiation calibration and observing angle to the measurement of surface radiative temperature are not well known. ④Continuous calculation of surface fluxes is very important, but the exist of cloud makes satellite observation discontinuous. ⑤Satellites (such as NOAA and GOES) of big pixel scale (1～4 km) have enough observing frequency, but heterogeneous sub-pixel makes observation uncertainty. With the data of series of new EOS sensors, there will be new hope for evapotranspiration study. |
| Keywords: | Evapotranspiration Traditional method Land surface process model Remote sensing method |
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