Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors-Reference-Cited by-同舟云学术

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Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors

Published:2021-09 Issue: Volume:255 Page:107046
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Cheng Minghan,Jiao Xiyun,Jin Xiuliang,Li Binbin,Liu Kaihua,Shi Lei

Funder

National Key Research and Development Program of China

Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences

National Aeronautics and Space Administration

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference106 articles.

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2. Performance assessment of MOD16 in evapotranspiration evaluation in Northwestern Mexico;Aguilar;Water,2018

3. Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy;Autovino;Agric. Water Manag.,2016

4. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation;Bastiaanssen;J. Hydrol.,1998

5. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation;Bastiaanssen;J. Hydrol.,1998

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