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Using Remotely Sensed Information for Near Real-Time Landslide Hazard AssessmentThe increasing availability of remotely sensed precipitation and surface products provides a unique opportunity to explore how landslide susceptibility and hazard assessment may be approached at larger spatial scales with higher resolution remote sensing products. A prototype global landslide hazard assessment framework has been developed to evaluate how landslide susceptibility and satellite-derived precipitation estimates can be used to identify potential landslide conditions in near-real time. Preliminary analysis of this algorithm suggests that forecasting errors are geographically variable due to the resolution and accuracy of the current susceptibility map and the application of satellite-based rainfall estimates. This research is currently working to improve the algorithm through considering higher spatial and temporal resolution landslide susceptibility information and testing different rainfall triggering thresholds, antecedent rainfall scenarios, and various surface products at regional and global scales.
Document ID
20150023305
Acquisition Source
Goddard Space Flight Center
Document Type
Book Chapter
Authors
Kirschbaum, Dalia
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Adler, Robert
(Maryland Univ. College Park, MD, United States)
Peters-Lidard, Christa
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
December 18, 2015
Publication Date
January 1, 2013
Publication Information
Publication: Landslide Science and Practice
Publisher: Springer-Verlag Berlin Heidelberg
Volume: 1
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN26217
Funding Number(s)
CONTRACT_GRANT: NNX12AD03A
Distribution Limits
Public
Copyright
Other
Keywords
remote sensing
rainfall-triggered landslide hazards
landslide nowcasting

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