DocumentCode
2444541
Title
Remote sensing based glacial lake inventory in the Hindu Kush-Himalaya region
Author
Wu, Lizong ; Li, Xin ; Liu, Shiyin ; Mool, Pradeep Kumar ; Joshi, Sharad ; Bajracharya, Samjwal
Author_Institution
Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1451
Lastpage
1454
Abstract
Glacial lake inventory is the main method to investigate the glacial lakes in remote area and provides required information for glacier risk management and climate change research. A glacial lake inventory based on Landsat TM/ETM+ images has been carried in Hindu-Kush Himalaya regions, and 20204 glacial lakes with total area of 1955.75 km2 are documented by this inventory. This paper introduced the method and material and discussed the merits and demerits of the method. Landsat based glacial lake inventory is effective method for large scale area, but more detail inventory with high resolution satellite images is necessary for glacier risk management and glacial lake change detection. The distribution characteristics is also analyzed by this paper, obvious regional difference was found by this inventory, the formation and distribution of glacial lake are controlled by terrain, glaciation and conditions. The selection of assessment method and criteria need to consider the regional feature of glacial lakes and their environment.
Keywords
geophysical image processing; glaciology; hydrological techniques; image resolution; lakes; remote sensing; Hindu Kush-Himalaya region; Landsat ETM+ images; Landsat TM images; climate change; glacial hazard; glacial lake inventory; glacier lake change detection; glacier risk management; remote sensing; satellite images; Earth; Hazards; Lakes; Meteorology; Remote sensing; Risk management; Satellites; Hindu-Kush Himalaya; glacial hazard; glacial lake; glacial lake inventory;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5964557
Filename
5964557
Link To Document