Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2021-09-30
- Identifier
- doi: / 10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8
- Other citation details
- 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 10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8
- GEMET - INSPIRE themes, version 1.0 ()
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- Natural Risk Zones
- GeoNames
- Keywords
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- Glacial lake outburst floods
- Hazard exposure
- Object-based assessment
- Open-source data
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: 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
- Spatial representation type
- vector
- Spatial representation type
- grid
- Distance
- 30 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Planning cadastre
))
- Begin date
- 2020-03-31
- End date
- 2020-03-31
- Code
- WGS 84
Distribution Information
- Data format
-
-
TIFF
()
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Shapefile
()
-
TIFF
()
- Resource Locator
-
Download the data
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Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- 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.
Metadata
- File identifier
- 3834d477-7a1d-4ad3-8a41-d38fc727dbd8 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-05-18T12:21:40
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3