机构地区:[1]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 [2]中国科学院大学,北京100049 [3]中国农业科学院农业资源与农业区划研究所,农业农村部农业遥感重点实验室,北京100081
出 处:《遥感学报》2021年第1期65-82,共18页NATIONAL REMOTE SENSING BULLETIN
基 金:国家自然科学基金(编号:41922009,42071332,42001306);国家重点研发计划(编号:2018YFA0605400);中央级科研院所基本科研业务费专项(编号:1610132020007)。
摘 要:地表蒸散发是地表水分循环和能量平衡的重要组成成分,其准确估算对农业灌溉与干旱监测、水资源管理、气候变化预估等研究至关重要。基于地表温度—植被指数三角/梯形特征空间开展地表蒸散发遥感反演及土壤蒸发/植被蒸腾分离是地表蒸散发定量遥感研究的国际热点与前沿课题之一。本文全面、系统、深入地综述了地表温度—植被指数三角/梯形空间反演地表蒸散发和分离土壤蒸发与植被蒸腾的国内外研究进展,详尽阐述了各干湿边确定方法和蒸散发反演建模方法的基本原理、优势与不足等,明晰了各方法的适用条件并梳理了待进一步解决的问题,最后指明了三角/梯形特征空间蒸散发遥感反演研究的未来发展方向。通过本文,有助于深化认识基于三角/梯形特征空间反演地表蒸散发的机理,为遥感反演地表蒸散发及分离土壤蒸发/植被蒸腾新方法的创立提供启迪,推动中国蒸散发定量遥感研究水平迈上新台阶。Land surface Evapotranspiration(ET) is an important component of surface water cycle and energy balance, and its accurate estimation is essential for agricultural irrigation and drought monitoring, water resources management and climate change prediction.Retrieval of land surface ET based remotely sensed surface temperature versus vegetation index triangular/trapezoidal characteristic space is one of the international hot spots and frontier topics in the quantitative remote sensing of surface evapotranspiration. Due to the unclear understanding of the soil evaporation/vegetation transpiration processes and mechanisms, the interpretation schemes of retrieval models differ significantly for the scientific question of how soil evaporation/vegetation transpiration in characteristic space changes with surface soil moisture and vegetation coverage(including cover type and coverage), resulting in significant differences in ET retrieval results between different models. This paper comprehensively, systematically and deeply reviews the research on surface ET retrieval and soil evaporation/vegetation transpiration separation based on surface temperature versus vegetation index triangular/trapezoidal characteristic space. The basic theories, advantages and disadvantages of each method for the determination of dry/wet edges and ET retrieval modeling are described in detail, the applicable conditions of each method are clarified, and the problems to be solved are sorted out. Based on these,this paper finally points out the future development direction of the remote sensing retrieval of ET in the triangular/trapezoidal characteristic space. To correctly reveal the variation law of land surface ET in the triangular/trapezoidal characteristic space of surface temperaturevegetation index and improve the accuracy and operational capability of surface ET estimation based on characteristic space, several suggestions for future research are proposed as follows: First, using model simulation data, ground observation data, and combinin
关 键 词:蒸散发 遥感 地表温度—植被指数三角/梯形特征空间 干湿边确定 蒸发与蒸腾
分 类 号:P407[天文地球—大气科学及气象学] P426.2
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