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地球科学进展  2014, Vol. 29 Issue (5): 559-568    DOI: 10.11867/j.issn.1001-8166.2014.05.0559
综述与评述     
饱和水汽压差的卫星遥感研究综述
张红梅1, 3, 吴炳方2, *, 闫娜娜2
1. 中南大学地球科学与信息物理学院,湖南 长沙 410083; 2. 中国科学院遥感与数字地球研究所,北京 100101; 3. 南昌工程学院水利与生态学院,江西 南昌 330099
Remote Sensing Estimates of Vapor Pressure Deficit: An Overview
Zhang Hongmei1, 3, Wu Bingfang2, Yan Nana2
1. School of Geosciences and Info-Physics, Central south University, Changsha 410083, China; 2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 3. School of Ecology and Hydrodynamic engineering, Nanchang Institute of Technology, Nanchang 330099, China
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摘要:

饱和水汽压差是许多陆表生态和陆面过程模型中非常重要的输入参数之一,精确估算并获取其时空分布特征是生态、农业遥感领域亟待解决的问题之一。在简要回顾饱和水汽压差的应用和传统获取方法的基础上重点介绍遥感估算饱和水汽压差的数据源和估算方法,即统计方法和解析计算法,并对解析计算法所需关键参数的国内外相关研究进展进行概述,探讨目前遥感估算饱和水汽压差存在的不足,并结合目前遥感技术发展现状和此领域研究存在的问题探讨其发展趋势,展望了联合多源遥感数据进行高时空分辨率的饱和水汽压差遥感估算问题。

关键词: 陆表温度饱和水汽压差近地表气温大气柱大气可降水量    
Abstract:

Vapor Pressure Deficit (VPD) is an important climatic variable widely used in many ecosystem models to simulate fluxes and states of water and carbon; it plays an important role in fire warning and epidemic disease early warning systems. Accurate estimation of spatio-temporally distributed VPD is critical for ecosystem and climate modeling efforts. In this paper, the available remote sensing datasets for satellitebased VPD estimation are analyzed, the precision and spatial resolution are two important factors for selecting remote sensing data. Then, the principle and advantages of different estimation algorithms are analyzed, which include the regression method and analytic method. The regression method is simple, but requires mass sample data and can not be used in other region before calibration. The analytic method is more complex, but can be used anywhere once established. The near surface air temperature and humidity are two key parameters for estimating VPD, which are usually estimated from the satellite retrieved land surface temperature and total precipitable water vapor. The errors in estimated VPD cloud are further eliminated by improving the accuracy of input remote sensing data and improving estimation algorithms of near surface air temperature and humidity. Finally, the existing problems and the VPD estimation research prospect are discussed. Most research work is limited in clear sky days until now, and VPD estimation under cloudy days is a challenging work, but it is important for many applications. A full VPD map could be achieved by combining several satellite data from different instruments, especially by taking the advantages of optical and microwave remote sensing. The prospects of the satellitebased VPD estimation technologies are presented.

Key words: Near surface temperature    Columnar total precipitable water.    Land surface temperature    VPD
出版日期: 2014-05-10
:  P208.2  
基金资助:

[HT6SS][ZK(]国家自然科学基金重点项目“干旱区陆表蒸散遥感估算的参数化方法研究”(编号:91025007); 全国生态环境十年变化(2000—2010年)遥感调查与评估项目之子课题“北方地区地表温度及蒸散发遥感信息提取”(编号:STSN-01-11)资助

通讯作者: 吴炳方(1962-),男,江西玉山人,研究员,主要从事农业、水资源、生态环境遥感研究与应用. E-mail: wubf@radi.ac.cn     E-mail: wubf@radi.ac.cn
作者简介: 张红梅(1975-),女,江西赣州人,讲师,主要从事水资源遥感研究. E-mail:zhanghm_06@126.com
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引用本文:

张红梅, 吴炳方, 闫娜娜. 饱和水汽压差的卫星遥感研究综述[J]. 地球科学进展, 2014, 29(5): 559-568.

Zhang Hongmei, Wu Bingfang, Yan Nana. Remote Sensing Estimates of Vapor Pressure Deficit: An Overview. Advances in Earth Science, 2014, 29(5): 559-568.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2014.05.0559        http://www.adearth.ac.cn/CN/Y2014/V29/I5/559

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