Using an object-based machine learning ensemble approach to upscale evapotranspiration measured from eddy covariance towers in a subtropical wetland-Reference-Cited by-同舟云学术

Using an object-based machine learning ensemble approach to upscale evapotranspiration measured from eddy covariance towers in a subtropical wetland

Published:2022-07 Issue: Volume:831 Page:154969
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zhang Caiyun,Brodylo David,Rahman Mizanur,Rahman Md Atiqur,Douglas Thomas A.,Comas Xavier

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference40 articles.

1. Development of gridded surface meteorological data for ecological applications and modelling;Abatzoglou;Int. J. Climatol.,2013

2. Evapotranspiration information reporting: I. Factors governing measurement accuracy;Allen;Agric. Water Manag.,2011

3. The ‘K’ in K-fold cross validation;Anguita,2012

4. A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan plateau, China;Chang;J. Hydrol.,2018

5. Evaluation of the MOD16A2 evapotranspiration product in an agricultural area of Argentina, the pampas region;Degano;Egypt. J. Remote Sens. Space Sci.,2021

Cited by 10 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. Upscaling net ecosystem CO2 exchanges in croplands: The application of integrating object-based image analysis and machine learning approaches;Science of The Total Environment;2024-09

2. A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity;Water Resources Research;2024-09

3. A review on models, products and techniques for evapotranspiration measurement, estimation, and validation;Environmental Quality Management;2024-05-16

4. Quantification of active layer depth at multiple scales in Interior Alaska permafrost;Environmental Research Letters;2024-02-16

5. A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal–Infrared Remote Sensing;Remote Sensing;2024-01-29