Predicting global landslide spatiotemporal distribution:Integrating landslide susceptibility zoning techniques and real-time satellite rainfall estimates

查看全文 作　　者：Yang [1,2]HONG;Robert F. [3]ADLER

机构地区：[1]Dr., Research Scientist, NASA Goddard Space Flight Center, Laboratory for Atmospheres, code 613.1, Greenbelt, MD 20771;[2]Asso. Prof., School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK 73019, U. S. A.;[3]Dr., Senior Research Scientist, Code 613.1, Laboratory for Atmospheres, NASA/Goddard Space Flight Center, Greenbelt, MD 20771 U. S. A

出　　处：《International Journal of Sediment Research》索引2008年第23卷第3期,共9页

基　　金：NASA’s Applied Sciences program under Steven Ambrose of NASA Headquarters and with support from University of Oklahoma. 摘　　要：Landslides triggered by rainfall can possibly be foreseen in real time by jointly using rainfall intensity-duration thresholds and information related to land surface susceptibility. However, no system exists at either a national or a global scale to monitor or detect rainfall conditions that may trigger landslides due to the lack of sufficient ground-based observing network in many parts of the world. Recent advances in satellite remote sensing technology and increasing availability of high-resolution geospatial products around the globe have provided an unprecedented opportunity for such a study. In this paper, a framework for developing a preliminary real-time prediction system to identify where rainfall-triggered landslides will occur is proposed by combining two necessary components: surface landslide susceptibility and a real-time space-based rainfall analysis system (http://gffzz393ea4fcb44c40b8houpw5w5oocko6ovc.ffgz.tsg.suse.edu.cn). First, a global landslide susceptibility map is derived from a combination of semi-static global surface characteristics (digital elevation topography, slope, soil types, soil texture, land cover classification, etc.) using a GIS weighted linear combination approach. Second, an adjusted empirical relationship between rainfall intensity-duration and landslide occurrence is used to assess landslide hazards at areas with high susceptibility. A major outcome of this work is the availability for the first time of a global assessment of landslide hazards, which is only possible because of the utilization of global satellite remote sensing products. This preliminary system can be updated continuously using the new satellite remote sensing products. This proposed system, if pursued through wide interdisciplinary efforts as recommended herein, bears the promise to grow many local landslide hazard analyses into a global decision-making support system for landslide disaster preparedness and mitigation activities across the world. 关键词：滑坡自然灾害时空卫星遥控技术

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Predicting global landslide spatiotemporal distribution:Integrating landslide susceptibility zoning techniques and real-time satellite rainfall estimates

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