A Global Implementation of Single‐ and Dual‐Source Surface Energy Balance Models for Estimating Actual Evapotranspiration at 30‐m Resolution Using Google Earth Engine
Author:
Affiliation:
1. Department of Agriculture Faculty of Agriculture and Food Sciences American University of Beirut Beirut Lebanon
2. USDA‐Agricultural Research Service‐Hydrology and Remote Sensing Lab Beltsville MD USA
Funder
Google
USDA Agricultural Research Service
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022WR032800
Reference126 articles.
1. A vegetation index based technique for spatial sharpening of thermal imagery
2. Application of the Priestley–Taylor Approach in a Two-Source Surface Energy Balance Model
3. Evapotranspiration information reporting: I. Factors governing measurement accuracy
4. Soil Surface Fluxes of Greenhouse Gases in an Irrigated Maize-Based Agroecosystem
5. Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing
Cited by 6 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. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales;Agricultural and Forest Meteorology;2024-05
2. Improved 30‐m Evapotranspiration Estimates Over 145 Eddy Covariance Sites in the Contiguous United States: The Role of ECOSTRESS, Harmonized Landsat Sentinel‐2 Imagery, Climate Reanalysis, and Deep Neural Network Postprocessing;Water Resources Research;2024-04
3. A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal–Infrared Remote Sensing;Remote Sensing;2024-01-29
4. The WRF-Driven Grid-Xin’anjiang Model and Its Application in Small and Medium Catchments of China;Water;2023-12-27
5. Accuracy of Estimated Crop Evapotranspiration Using Locally Developed Crop Coefficients against Satellite-Derived Crop Evapotranspiration in a Semiarid Climate;Agronomy;2023-07-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3