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Updated: Jan 9, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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绘制地图沿海转型与一个新的细胞自动机-马科夫-随机森林框架用于土地使用变化建模

Mohammad Reza Nikoo1, Erfan Zarei2, Malik Al-Wardy3

  • 1Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman.

Scientific reports
|December 7, 2025
PubMed
概括

准确的沿海变化预测对于可持续管理至关重要. 本研究通过使用混合CA-马尔科夫和机器学习模型,增强了阿曼的土地使用/土地覆盖 (LULC) 和海岸线预测,提高了未来规划的准确性.

关键词:
这就是CAMarkov.混合建模混合建模预测LULC的预测恩德威 NDWI 恩德威 NDWI 恩德威随机的森林随机的森林海岸线变化改变了海岸线.

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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

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