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Potentially dangerous glacial lakes in the Koshi, Gandaki, and Karnali river basins of Nepal, the Tibet Autonomous Region of China, and India

Updated Date: 9/16/2020 1:46:17 PM

The potentially dangerous glacial lakes were identified on the basis of the glacial lake inventory dataset using Landsat imagery from 2015. The following criteria were used for classifying the lakes: i) lake characteristics, ii) dam characteristics, iii) source/associate glacier characteristics, and iv) physical conditions of surroundings. Various parameters required for classifying such lakes were generated by using 5 m ALOS DEM for Nepal and 12.5 m ALOS DEM for China and India. Data include detailed analyses of land features and conditions using high-resolution images with 3D visualization on Google Earth. The dataset provides the size, type, and altitudinal distribution of such lakes, including the hazard rank of each lake. This dataset was prepared to support the Green Climate Fund project proposal formulated by UNDP Nepal.

Potentially dangerous glacial lakes in the Koshi, Gandaki, and Karnali river basins of Nepal, the Tibet Autonomous Region of China, and India
Schema iso19139
Purpose This dataset is useful for researchers, scientists, and infrastructure developers and policy makers for glacial water resource management, climate change impact studies, and glacial hazard risk reduction and mitigation.
Descriptive Keyword Glacial Lake, Potential dangerous glacial lakes, GLOF, Cryosphere (theme) Nepal, China, India (place)
Metadata Record Info
Language eng
Charset utf8
Hierarchy Level dataset
Date 2020-09-16T13:46:17
Standard Name North American Profile of ISO 19115:2003
Contact
Name Mr. Sudan Bikash Maharjan Email Sudan.Maharjan@icimod.org
Organization Name ICIMOD Voice
Position name RS Analyst - Cryosphere Address
Role author
Identification Info
Title Potentially dangerous glacial lakes in the Koshi, Gandaki, and Karnali river basins of Nepal, the Tibet Autonomous Region of China, and India
Date 2020-09-10
Date Type publication
Abstract The potentially dangerous glacial lakes were identified on the basis of the glacial lake inventory dataset using Landsat imagery from 2015. The following criteria were used for classifying the lakes: i) lake characteristics, ii) dam characteristics, iii) source/associate glacier characteristics, and iv) physical conditions of surroundings. Various parameters required for classifying such lakes were generated by using 5 m ALOS DEM for Nepal and 12.5 m ALOS DEM for China and India. Data include detailed analyses of land features and conditions using high-resolution images with 3D visualization on Google Earth. The dataset provides the size, type, and altitudinal distribution of such lakes, including the hazard rank of each lake. This dataset was prepared to support the Green Climate Fund project proposal formulated by UNDP Nepal.
Purpose This dataset is useful for researchers, scientists, and infrastructure developers and policy makers for glacial water resource management, climate change impact studies, and glacial hazard risk reduction and mitigation.
Status completed
Charset utf8
Topic Category geoscientificInformation
Spatial Representation Type vector
Cited Responsible Parties
Name Mr. Sudan Bikash Maharjan Email Sudan.Maharjan@icimod.org
Organization Name ICIMOD Voice 977-1-5275222
Position name RS Analyst - Cryosphere Address Nepal
Role author
Geographic Extent
Geographic Extent East 88.2922 Geographic Extent West 80.3847
Geographic Extent North 30.4473 Geographic Extent South 27.6854
Resource Maintenance Information
Maintenance and update frequency asNeeded
User Defined Maintenance Frequency
Date of Next Update
Legal Constraints
Use Limitation Free to use with attribution to the source. Suggested citation: ICIMOD. (2020). Potentially dangerous glacial lakes in the Koshi, Gandaki, and Karnali river basins of Nepal, the Tibet Autonomous Region of China, and India [Data set]. ICIMOD. https://doi.org/10.26066/RDS.1971950
Access Constraints copyright
Use Constraints copyright
Reference System Information
Code WGS 1984
Data Quality Info
Hierarchy level dataset
Distributor Info
Email metadata@icimod.org Organization Name ICIMOD
Voice Position name
Address Role distributor
Transfer Option
Online Resource HimalDoc