基于热红外遥感的农田蒸散估算方法研究综述

Estimation of Farmland Evapotranspiration: A Review of Methods Using Thermal Infrared Remote Sensing Data

农田蒸散是农田土壤蒸发和作物蒸腾的总称,基于热红外遥感的农田蒸散估算方法研究是农业遥感领域重要前沿课题之一。经过30多年的发展,基于热红外遥感的遥感蒸散算法逐渐成熟并广泛应用于农业、气象以及水文等多个领域。简要回顾基于热红外遥感地表温度与空气温度温差的经验方法、地表能量平衡的单层和双层模型、基于热红外遥感数据源的彭曼公式以及遥感参数化的Priestley-Taylor模型等多种遥感蒸散模型的基本原理、核心算法以及存在问题等研究。针对这些方法的优缺点,指出了基于热红外遥感的农田蒸散估算方法在农业遥感中尚需解决的关键问题,并提出可能的解决途径。

Farmland evapotranspiration generally refers to the sum of soil evaporation and vegetation transpira- tion. Development of the methods for farmland evapotranspiration estimation using thermal infrared remote sensing data is the ehallenging task in agricultural remote sensing. With more than three-decade development of space- borne sensors, the approaches to estimating evapotranspiration appear mature and have widely used in agricultural, meteorological and hydrological fields. This paper briefly describes the principles and the main types of current main retrieval algorithms of evapotranspiration, including the empirical method using the temperature difference be- tween land surface temperature derived from thermal infrared remote sensing and air temperature, one source and two source models based on land surface energy balance, remote-sensing-based Penman-Monteith equation, Priest- ley-Taylor parameterized by remote sensing based on using thermal infrared remote sensing data, etc. A number of algorithms have been proposed with a particular combination of multiple sources remotely sensed data. Importantly the unresolved problems of evapotranspiration estimation methods based on thermal infrared remote sensing in agri- cultural remote sensing are pointed out in the paper and the corresponding countermeasures are put forward.