Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data

被引：3

作者：

Wang, Jingui ^{[1
]}

Cheng, Dongjuan ^{[1
]}

Wu, Lihui ^{[2
]}

Yu, Xueyuan ^{[3
]}

机构：

[1] Hebei Univ Engn, Sch Water Conservancy & Hydroelect Power, Handan, Hebei, Peoples R China

[2] Handan Design & Res Inst Water Conservancy & Hydro, Handan 056001, Hebei, Peoples R China

[3] HeBei Gal Xiang Geog Informat Technol Serv Co Ltd, Handan 056001, Hebei, Peoples R China

来源：

SCIENTIFIC PROGRAMMING | 2022年 / 2022卷

关键词：

LATENT-HEAT FLUX; SURFACE-TEMPERATURE; TERRESTRIAL EVAPOTRANSPIRATION; EVAPORATION; MODIS;

D O I：

10.1155/2022/2076633

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Evapotranspiration (ET) is the main process parameter of the land surface heat and water balance. Evapotranspiration remote-sensing inversion can be divided into two types of methods, process-driven and data-driven, according to the model power. This paper presents a comprehensive and systematic review of the research progress of data-driven ET remote-sensing inversion methods and their products; reviews the basic principles, advantages, and disadvantages of related methods/products from three perspectives: empirical regression, machine learning, and data fusion; and finally indicates the development direction of data-driven ET remote-sensing inversion research.

引用

页数：13

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