SAR2ET: End-to-End SAR-Driven Multisource ET Imagery Estimation Over Croplands

Author:

Cetin Samet1ORCID,Ülker Berk2ORCID,Erten Esra3ORCID,Cinbis Ramazan Gokberk1ORCID

Affiliation:

1. Department of Computer Engineering, Middle East Technical University, Ankara, Türkiye

2. Department of Electronics Engineering, Eindhoven University of Technology, Eindhoven, AE, The Netherlands

3. Civil Engineering Faculty, Istanbul Technical University, Istanbul, Türkiye

Funder

2022 Climate Change AI Innovation Grants program

Canada Hub of Future Earth

Research Fund of Istanbul Technical University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 2 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. Identifying Yield Predictors Behaving as a Geotag: A Time-Varying Analysis of a Nationwide Cotton Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Image-To-Image Translation Networks for Estimating Evapotranspiration Variations: SAR2ET;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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