Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China

Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China

Temporally continuous daily actual evapotranspiration (ET) data play a critical role in water resource management in arid areas. As a typical remotely sensed land surface temperature (LST)-based ET model, the surface temperature-vegetation index (Ts-VI) triangle model provides direct monitoring of E...

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Bibliographic Details
Main Authors: Yaokui Cui, Shihao Ma, Zhaoyuan Yao, Xi Chen, Zengliang Luo, Wenjie Fan, Yang Hong
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
evapotranspiration
remote sensing
LST
Ts-VI triangle model
DNN
arid area
Online Access:https://www.mdpi.com/2072-4292/12/7/1121

Internet

https://www.mdpi.com/2072-4292/12/7/1121

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