Landslide susceptibility mapping using downscaled AMSR-E soil moisture: A case study from Cleveland Corral, California, US |
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Authors: | Ram L. Ray Jennifer M. Jacobs |
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Affiliation: | a Department of Civil and Construction Engineering, San Diego State University, USA b Department of Civil Engineering, University of New Hampshire, 35 Colovos Rd. Durham, NH 03824, USA c USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD 20705, USA |
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Abstract: | As soil moisture increases, slope stability decreases. Remotely sensed soil moisture data can provide routine updates of slope conditions necessary for landslide predictions. For regional scale landslide investigations, only remote-sensing methods have the spatial and temporal resolution required to map hazard increases. Here, a dynamic physically-based slope stability model that requires soil moisture is applied using remote-sensing products from multiple Earth observing platforms. The resulting landslide susceptibility maps using the advanced microwave scanning radiometer (AMSR-E) surface soil moisture are compared to those created using variable infiltration capacity (VIC-3L) modeled soil moisture at Cleveland Corral landslide area in California, US. Despite snow cover influences on AMSR-E surface soil moisture estimates, a good relationship between the downscaled AMSR-E's surface soil moisture and the VIC-3L modeled soil moisture is evident. The AMSR-E soil moisture mean (0.17 cm3/cm3) and standard deviation (0.02 cm3/cm3) are very close to the mean (0.21 cm3/cm3) and standard deviation (0.09 cm3/cm3) estimated by VIC-3L model. Qualitative results show that the location and extent of landslide prone regions are quite similar. Under the maximum saturation scenario, 0.42% and 0.49% of the study area were highly susceptible using AMSR-E and VIC-3L model soil moisture, respectively. |
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Keywords: | AMSR-E Remote sensing VIC-3L Landslide Soil moisture Slope stability |
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