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Updated: Jan 13, 2026

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
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整合谷歌地球引擎和机器学习,用于城市土地使用和土地覆盖动态分析

Mubarak Ahmad1, Khan Alam2, Maqbool Ahmad3

  • 1School of Electronics and Information Engineering, Wuxi University, Wuxi, China.

Environmental monitoring and assessment
|January 7, 2026
PubMed
概括

像随机森林 (RF) 和分类和回归树 (CART) 这样的机器学习算法在佩沙瓦实现了土地使用和土地覆盖 (LULC) 分类的95%准确性,超过了谷歌地球引擎中的其他方法.

关键词:
谷歌的地球引擎.土地使用分类 土地使用分类机器学习 机器学习佩沙瓦尔 佩沙瓦尔是一个城市.一个哨兵,一个哨兵.

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