Chen, H.; Liang, Q.; Xiao, W.
        
        Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020
         https://doi.org/10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8
        
       
            Cite this dataset as: 
            
           
          Chen, H.; Liang, Q.; Xiao, W. (2021). Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8
             
             
            
           Download/Access
PLEASE NOTE:
           
           
         By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
 This dataset is available under the terms of the Open Government Licence  
 
          The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility of outburst. 
          
         
           Publication date: 2021-09-30
          
         View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Formats
TIFF, Shapefile
Spatial information
          Study area
         
         
          Spatial representation types
         
         
          Vector 
Raster
        Raster
          Spatial reference system
         
         
          WGS 84
         
        Temporal information
          Temporal extent
         
         2020-03-31    to    2020-03-31
          
         Provenance & quality
         Different glacial lake outburst flood (GLOF) scenarios are created using a simple dam breach model. A high-performance hydrodynamic model is then used to simulate the resulting flood hydrodynamics. Detailed socio-economic information is collected and processed from multiple sources including OpenStreetMap, Google Earth, and global data products to support exposure analysis. The exposure of objects was spatially identified by overlaying the predicted flood inundation maps and the relevant datasets that are processed and improved.
        
       Licensing and constraints
 This dataset is available under the terms of the Open Government Licence  
 
         Cite this dataset as: 
         
       Chen, H.; Liang, Q.; Xiao, W. (2021). Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8
          
          
         
        Related
Related datasets
Digital elevation models and bathymetry data of Tsho Rolpa glacier lake, Nepal, 2019
This dataset is included in the following collections
Field survey and glacier lake outburst flood risk assessment data of Tsho Rolpa glacial lake, Nepal
Correspondence/contact details
Authors
          Chen, H.
         
         
          Loughborough University
         
        
          Liang, Q.
         
         
          Loughborough University
         
        
          Xiao, W.
         
         
          Newcastle University
         
        Other contacts
          Rights holder
         
         
           Loughborough University
          
         
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
           
      