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005     20231027114401.0
024 7 _ |a 10.1016/j.compag.2023.107821
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024 7 _ |a 1872-7107
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037 _ _ |a FZJ-2023-01799
082 _ _ |a 004
100 1 _ |a Rezaei, Meisam
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245 _ _ |a Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil
260 _ _ |a Amsterdam [u.a.]
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700 1 _ |a Mousavi, Seyed Rohollah
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700 1 _ |a Rahmani, Asghar
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700 1 _ |a Zeraatpisheh, Mojtaba
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700 1 _ |a Rahmati, Mehdi
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700 1 _ |a Pakparvar, Mojtaba
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700 1 _ |a Jahandideh Mahjenabadi, Vahid Alah
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700 1 _ |a Seuntjens, Piet
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700 1 _ |a Cornelis, Wim
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773 _ _ |a 10.1016/j.compag.2023.107821
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856 4 _ |u https://juser.fz-juelich.de/record/1006720/files/HYDROL40215-1.pdf
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