Estimation of evapotranspiration and energy fluxes using a deep-learning-based high-resolution emissivity model and the two-source energy balance model with sUAS information-Reference-Cited by-同舟云学术

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Estimation of evapotranspiration and energy fluxes using a deep-learning-based high-resolution emissivity model and the two-source energy balance model with sUAS information

Published:2020-05-14 Issue: Volume: Page:
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Container-title:Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V
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Author:

Torres-Rua Alfonso F.,Ticlavilca Andres M.,Aboutalebi Mahyar,Nieto Hector,Alsina Maria M.,White Alex,Prueger John H.,Alfieri Joseph G.,Hipps Lawrence E.,McKee Lynn G.,Kustas William P.,Coopmans Calvin,Dokoozlian Nick

Publisher

SPIE

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards;Remote Sensing;2023-01-28

2. Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review;Remote Sensing;2022-07-18

3. Exploratory analysis of vineyard leaf water potential against UAS multispectral and temperature information;Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII;2022-06-04

4. LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning;Irrigation Science;2022-03-14

5. ET Estimation Methods with Small UAVs: A Literature Review;Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture;2022

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