supported by the National Natural Science Foundation of China(Grant No.41501458);China Postdoctoral Science Foundation Funded Project(Grant No.2016M592860);National Basic Research Program of China(Grant No.2013CB733204);Key Laboratory of Mining Spatial Information Technology of NASMG(Grant Nos. KLM201309);Science Program of Shanghai Normal University(Grant No. SK201525);the Shanghai Gaofeng & Gaoyuan Project for University Academic Program Development(Grant Nos.2013LASW-A09 & SKHL1310);the Center of Spatial Information Science and Sustainable Development Applications,Tongji University,Shanghai,China
An empirical simulation method to simulate the possible position of shallow rainfall-induced landslides in China has been developed.This study shows that such a simulation may be operated in real-time to highlight tho...
funded by National Natural Science Foundation (Grant No. 41501458);National Natural Science Foundation (Grant No. 41201380);National Basic Research Program of China: (Grant No. 2013CB733204);Key Laboratory of Mining Spatial Information Technology of NASMG (KLM201309);Science Program of Shanghai Normal University (SK201525);sponsored by Shanghai Gaofeng & Gaoyuan Project for University Academic Program Development, project 2013LASW-A09, project SKHL1310;the Center of Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai, China
Landslide inventory plays an important role in recording landslide events and showing their temporal-spatial distribution. This paper describes the development, visualization, and analysis of a China's Landslide Inven...
supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions(164320H101);the Opening Fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection of Chengdu University of Technology,China(SKLGP2012K012);the Opening Fund of Key Laboratory for Geo-hazards in Loess area(GLA2014005);the National Natural Science Foundation of China(No.40801212 and No.41201424);the 973 National Basic Research Program(Nos.2013CB733203,2013CB733204);the 863 National High-Tech Rand D Program(No.2012AA121302);the FP6 project"Mountain Risks"of the European Commission(No.MRTNCT-2006-035798)
A detailed landslide susceptibility map was produced in the Youfang catchment using logistic regression method with datasets developed for a geographic information system(GIS).Known as one of the most landslide-prone ...