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Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data.

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Title: Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data.
Authors: Xia, Jingyao1 (AUTHOR), Wen, Huiqing2 (AUTHOR), Li, Haoming1,3 (AUTHOR), Yang, Yadi1 (AUTHOR), Wang, Mingchang2,3 (AUTHOR), Li, Xiaoyan1,3 (AUTHOR) lxyan@jlu.edu.cn
Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1781. 26p.
Database: Academic Search Ultimate
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  Data: Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jun2026, Vol. 18 Issue 11, p1781. 26p.
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        Value: 10.3390/rs18111781
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        Text: English
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      – TitleFull: Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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