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Machine learning-based prediction of landscape pattern variations: a case study in the Yushenfu mining area, northern Shaanxi, China.

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Title: Machine learning-based prediction of landscape pattern variations: a case study in the Yushenfu mining area, northern Shaanxi, China.
Authors: Liu, Shiliang1, Liu, Yang2, Wang, Ao1, Luo, Yinfei3, Li, Weiguo1, Zhang, Wenhui1, Mao, Deqiang1, Wang, Shanlin1, Mukherjee, Indrani4, Wang, Jun1, wangjunwater@sdu.edu.cn
Source: Environmental Earth Sciences; Apr2024, Vol. 83 Issue 7, p1-16, 16p
Database: Applied Science & Technology Source
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An: 177000299
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  Data: Machine learning-based prediction of landscape pattern variations: a case study in the Yushenfu mining area, northern Shaanxi, China.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Shiliang%22">Liu, Shiliang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Yang%22">Liu, Yang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Ao%22">Wang, Ao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Luo%2C+Yinfei%22">Luo, Yinfei</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Weiguo%22">Li, Weiguo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Wenhui%22">Zhang, Wenhui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mao%2C+Deqiang%22">Mao, Deqiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Shanlin%22">Wang, Shanlin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mukherjee%2C+Indrani%22">Mukherjee, Indrani</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Jun%22">Wang, Jun</searchLink><relatesTo>1</relatesTo>, <i>wangjunwater@sdu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>; Apr2024, Vol. 83 Issue 7, p1-16, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177000299
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        Value: 10.1007/s12665-024-11490-9
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              Text: Apr2024
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