Hauptseite > Publikationsdatenbank > Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale > print |
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100 | 1 | _ | |a Han, Qianqian |0 0000-0001-7481-9754 |b 0 |
245 | _ | _ | |a Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale |
260 | _ | _ | |a Katlenburg-Lindau |c 2023 |b Copernicus |
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700 | 1 | _ | |a Zeng, Yijian |0 0000-0002-2166-5314 |b 1 |
700 | 1 | _ | |a Zhang, Lijie |0 P:(DE-Juel1)185909 |b 2 |
700 | 1 | _ | |a Cira, Calimanut-Ionut |0 0000-0002-7713-7238 |b 3 |
700 | 1 | _ | |a Prikaziuk, Egor |0 0000-0002-7331-7004 |b 4 |
700 | 1 | _ | |a Duan, Ting |b 5 |
700 | 1 | _ | |a Wang, Chao |b 6 |
700 | 1 | _ | |a Szabó, Brigitta |0 0000-0003-1485-8908 |b 7 |
700 | 1 | _ | |a Manfreda, Salvatore |0 0000-0002-0225-144X |b 8 |
700 | 1 | _ | |a Zhuang, Ruodan |0 0000-0003-0421-8245 |b 9 |e Corresponding author |
700 | 1 | _ | |a Su, Bob |b 10 |
773 | _ | _ | |a 10.5194/gmd-16-5825-2023 |g Vol. 16, no. 20, p. 5825 - 5845 |0 PERI:(DE-600)2456725-5 |n 20 |p 5825 - 5845 |t Geoscientific model development |v 16 |y 2023 |x 1991-959X |
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