Southwest University Researchers Detail Research in Machine Learning (A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal-Infrared Remote Sensing)

Robotics & Machine Learning Daily News2024，Issue(Feb.27) ：102-102.DOI:10.3390/rs16030509

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Southwest University Researchers Detail Research in Machine Learning (A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal-Infrared Remote Sensing)

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Abstract

2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Remote sensing-based models usually have difficulty in generating spatio-temporally continuous terrestrial evapotranspiration (ET) due to cloud cover and model failures. To overcome this problem, machine learning methods have been widely used to reconstruct ET.” Financial supporters for this research include National Natural Science Foundation of China; Anhui Province’s University Science Project For Distinguished Young Scholars.

Key words

Southwest University/Chongqing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

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出版年

2024

Robotics & Machine Learning Daily News

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