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| Contribution of remote sensing and GIS to mapping the fire risk of Mediterranean forest case of the forest massif of Tlemcen (North-West Algeria) 期刊论文 Natural Hazards, 2020, 卷号: 104, 期号: 1 作者: Bentekhici N.; Bellal S.-A.; Zegrar A. 收藏  |  浏览/下载:30/0  |  提交时间:2021/09/01 AHP model Fire GIS Mediterranean forest Remote sensing Risk |
| Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran 期刊论文 Natural Hazards, 2020, 卷号: 104, 期号: 1 作者: Eskandari S.; Amiri M.; Sãdhasivam N.; Pourghasemi H.R. 收藏  |  浏览/下载:23/0  |  提交时间:2021/09/01 Distance to urban areas (DTU) Effective factors Fire hazard mapping Individual and hybrid modeling Machine learning XGBoost |
| Nexus between natural and technical disaster shocks, resource depletion and growth-specific factors: evidence from quantile regression 期刊论文 Natural Hazards, 2020, 卷号: 104, 期号: 1 作者: Akhter W.; Zaman K.; Nassani A.A.; Abro M.M.Q. 收藏  |  浏览/下载:14/0  |  提交时间:2021/09/01 FDI inflows GDP per capita Natural disasters Natural resource depletion Pakistan Quantile regression Technical disaster Trade openness |
| Short-term rockburst risk prediction using ensemble learning methods 期刊论文 Natural Hazards, 2020, 卷号: 104, 期号: 2 作者: Liang W.; Sari A.; Zhao G.; McKinnon S.D.; Wu H. 收藏  |  浏览/下载:9/0  |  提交时间:2021/09/01 Ensemble learning Microseismic monitoring Prediction Rockburst Short-term risk |
| What matters the most? Understanding individual tornado preparedness using machine learning 期刊论文 Natural Hazards, 2020, 卷号: 103, 期号: 1 作者: Choi J.; Robinson S.; Maulik R.; Wehde W. 收藏  |  浏览/下载:24/0  |  提交时间:2021/09/01 Disaster management Emergency preparedness Machine learning Random forest regression Tornado preparedness |
| Climate change impact and vulnerability assessment of Mumbai city, India 期刊论文 Natural Hazards, 2020, 卷号: 102, 期号: 2 作者: Murali R.M.; Riyas M.J.; Reshma K.N.; Kumar S.S. 收藏  |  浏览/下载:16/0  |  提交时间:2021/09/01 Climate change Erosion Mumbai Remote sensing Sea-level rise |
| Monthly precipitation assessments in association with atmospheric circulation indices by using tree-based models 期刊论文 Natural Hazards, 2020, 卷号: 102, 期号: 3 作者: Sattari M.T.; Shaker Sureh F.; Kahya E. 收藏  |  浏览/下载:19/0  |  提交时间:2021/09/01 Atmospheric circulations Iran M5 tree model Meteorological variables Monthly precipitation Random forest |