中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
成都山地灾害与环境研... [2]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2023 [5]
学科主题
Geology [1]
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发表日期:2023
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Exploring a form of pixel-based information value model for flood probability assessment and geo-visualization over an East African basin: a case of Nyabarongo in Rwanda
期刊论文
OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2023, 卷号: 82, 期号: 17, 页码: 21
作者:
Mind'je, Richard
;
Li, Lanhai
;
Kayumba, Patient Mindje
;
Mupenzi, Christophe
;
Mindje, Mapendo
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/10/09
Flood
GIS
Information value
Nyabarongo
Pixel
Rwanda
Spatial understanding of historical and future landslide variation in Africa
期刊论文
OAI收割
NATURAL HAZARDS, 2023, 页码: 29
作者:
Nahayo, Lamek
;
Peng, Cui
;
Lei, Yu
;
Tan, Rongzhi
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/16
Africa
Gain information ratio
Landslide susceptibility
Urbanization
Hydromechanical coupling mechanism and an early warning method for paraglacial debris flows triggered by infiltration: Insights from field monitoring in Tianmo gully, Tibetan Plateau
期刊论文
OAI收割
NATURAL HAZARDS, 2023, 页码: 19
作者:
Yang, Zongji
;
Pang, Bo
;
Dong, Wufan
;
Li, Dehua
;
Shao, Wei
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/10/09
Paraglacial debris flow
Hydrological mechanism
Multivariate thresholds
Early warning
Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas
期刊论文
OAI收割
JOURNAL OF EARTH SCIENCE, 2023, 卷号: 34, 期号: 2, 页码: 330-338
作者:
Yang, Jintao
;
Xu, Chong
;
Jin, Xu
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/06/10
geodetector
co-seismic landslide
spatial pattern
triggering factors
interaction effects
driving force
engineering geology
Landslide susceptibility prediction improvements based on a semi-integrated supervised machine learning model
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 卷号: N/A
作者:
Yang, Ning
;
Wang, Rui
;
Liu, Zhaofei
;
Yao, Zhijun
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/04/06
Semi-integrated supervision
Machine learning
Landslide susceptibility study
True skill statistic
Integrated model
Non-landslide sample