Publications

Wang, JG; Cheng, DJ; Wu, LH; Yu, XY (2022). Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data. SCIENTIFIC PROGRAMMING, 2022, 2076633.

Abstract
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.

DOI:
10.1155/2022/2076633

ISSN:
1875-919X