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Updated: Jun 24, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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基于机器学习的替代模型,以高空间分辨率为基础,为澳大利亚提供强大的,符合可持续发展目标 (SDG) 的土地使用未来

Md Shakil Khan1, Enayat A Moallemi2, Dhananjay Thiruvady3

  • 1School of Life & Environmental Sciences, Deakin University, Melbourne Burwood Campus, VIC, 3125, Australia.

Journal of environmental management
|June 6, 2024
PubMed
概括

一个新的机器学习模型,ML-LUTO Spatial,为澳大利亚确定了强大的未来土地利用,满足联合国可持续发展目标 (SDGs). 这种高效的模型使广泛的碳和环境种植能够支持到2050年的气候和生物多样性目标.

关键词:
土地使用期货.机器学习是机器学习.坚固性 坚固性替代模型的建模可持续发展目标 可持续发展目标

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