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| Landslides and law: Cyclone Gabrielle raises serious questions about where we've been allowed to build 科技资讯 2023 收藏  |  浏览/下载:6/0  |  提交时间:2023/02/22 |
| Landslides and law: Cyclone Gabrielle raises serious questions about where we've been allowed to build 科技资讯 2023 收藏  |  浏览/下载:8/0  |  提交时间:2023/02/22 |
| Climate Change 2022: Mitigation of Climate Change 科技报告 , 2022 作者: Jim Skea JPEG(8Kb)  |  收藏  |  浏览/下载:134/33  |  提交时间:2022/04/06 |
| Canada in a Changing Climate:National Issues Report 科技报告 , 2021 作者: [unavailable] Adobe PDF(29033Kb)  |  收藏  |  浏览/下载:56/6  |  提交时间:2021/11/24 |
| Exploring the impact of introducing a physical model into statistical methods on the evaluation of regional scale debris flow susceptibility 期刊论文 Natural Hazards, 2021, 卷号: 106, 期号: 1 作者: Sun J.; Qin S.; Qiao S.; Chen Y.; Su G.; Cheng Q.; Zhang Y.; Guo X. 收藏  |  浏览/下载:25/0  |  提交时间:2021/09/01 Debris flow susceptibility mapping Integrating model Physical model Statistical model Yongji County |
| Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India 期刊论文 Natural Hazards, 2021, 卷号: 108, 期号: 1 作者: Bera S.; Upadhyay V.K.; Guru B.; Oommen T. 收藏  |  浏览/下载:18/0  |  提交时间:2021/09/01 Deep learning Kalimpong (Himalayas) Landslide inventory Landslide typology Spatial agreement |
| National Climate Change Risk Assessment for New Zealand 科技报告 , 2020 作者: [unavailable] Adobe PDF(5236Kb)  |  收藏  |  浏览/下载:10/1  |  提交时间:2021/11/24 |
| Assessment of Climate Change over the Indian Region 科技报告 , 2020 作者: [unavailable] Adobe PDF(24655Kb)  |  收藏  |  浏览/下载:14/1  |  提交时间:2021/11/24 |
| Climate Change Impacts and Adaptation for Transport Networks and Nodes 科技报告 , 2020 作者: [unavailable] Adobe PDF(16508Kb)  |  收藏  |  浏览/下载:4/0  |  提交时间:2021/11/24 |
| Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China 期刊论文 Natural Hazards, 2020, 卷号: 102, 期号: 3 作者: Cao J.; Zhang Z.; Du J.; Zhang L.; Song Y.; Sun G. 收藏  |  浏览/下载:19/0  |  提交时间:2021/09/01 Evolution tendency Geological hazards Jiuzhaigou Machine learning Susceptibility |