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A review of T-s/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture

机译:基于T-s / VI遥感的陆面能量通量和土壤表层水分反演方法综述

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摘要

Imagery from remote sensing systems, often combined with ancillary ground information, is able to provide repetitive, synoptic views of key parameters characterizing land surface interactions, including surface energy fluxes and surface soil moisture. Differing methodologies using a wide range of remote sensing data have been developed for this purpose. Approaches vary from purely empirical to more complex ones, including residual methods and those that have their basis in the biophysical properties characterizing a two-dimensional T-s/VI (surface temperature/vegetation index) scatterplot domain derived from remote sensing observations. The present article aims to offer a comprehensive and systematic review of this latter group of methods, which differ in terms of the complexity and assumptions they entail as well as their requirement for field-based and other ancillary data. Prior to the review, the biophysical meanings and properties encapsulated in the T-s/VI feature space is elucidated, since these represent the building block upon which all the T-s/VI methods described herein are based. The overview of the T-s/VI methods is also very timely, as one such method is being scheduled in the operational retrieval of surface soil moisture content by the National Polar-orbiting Operational Environmental Satellite System (NPOESS), in a series of satellite platforms due to be launched in the next 12 years starting from 2016.
机译:来自遥感系统的图像通常与辅助地面信息结合在一起,能够提供表征陆地表面相互作用(包括表面能通量和表面土壤湿度)的关键参数的重复概要视图。为此目的,已经开发出使用各种遥感数据的不同方法。从纯粹经验的方法到更复杂的方法都不同,包括残留方法以及那些以生物物理特性为基础的方法,这些方法表征了从遥感观测中得出的二维T-s / VI(表面温度/植被指数)散点图域。本文旨在对后一组方法进行全面而系统的审查,它们在复杂性和假设以及对基于现场和其他辅助数据的要求方面有所不同。在审查之前,先阐明了封装在T-s / VI特征空间中的生物物理意义和特性,因为它们代表了本文所述的所有T-s / VI方法所基于的构造块。 Ts / VI方法的概述也非常及时,因为计划在国家卫星轨道运行环境卫星系统(NPOESS)在一系列卫星平台上进行地面土壤水分含量的运行检索中计划使用这种方法。从2016年开始,将在未来12年内推出。

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