DocumentCode :
12131
Title :
Adaptive Classification of Supra-Glacial Lakes on the West Greenland Ice Sheet
Author :
Johansson, A. Malin ; Brown, Ian A.
Author_Institution :
Dept. of Phys. Geogr. & Quaternary Geol., Stockholm Univ., Stockholm, Sweden
Volume :
6
Issue :
4
fYear :
2013
fDate :
Aug. 2013
Firstpage :
1998
Lastpage :
2007
Abstract :
Meltwater is stored in supra-glacial lakes on the Greenland Ice Sheet. Connections between the melt water, ice sheet dynamics and the extent of the surface hydrological system have been observed. This highlights the importance of being able to study the surface hydrology over large spatial scales with a high temporal resolution. In this study, we develop an adaptive classification method to identify and map these supra-glacial lakes using high temporal resolution satellite images from the Moderate-resolution Imaging Spectroradiometer (MODIS) sensor. Surface reflectance images from 2007 are used to extract information about the lakes, their morphologies and their surroundings. Using a multiclass approach we can recognize lake types that have previously been difficult to classify, such as deep lakes, lakes within cryoconite areas and lakes with floating ice. Given significant increases in melting in recent years relative to the long term record the inclusion of deep lakes might prove particularly important.
Keywords :
geophysical image processing; hydrological techniques; hydrology; ice; lakes; Moderate-resolution Imaging Spectroradiometer sensor; adaptive classification method; cryoconite areas; deep lakes; floating ice; high temporal resolution satellite images; ice sheet dynamics; lake types; large spatial scales; melt water; multiclass approach; supra-glacial lakes; surface hydrological system; surface reflectance images; west Greenland Ice Sheet; Earth; Ice; Image segmentation; Lakes; MODIS; Remote sensing; Satellites; Landsat; MODIS; multispectral satellite imagery; object tracking; remote sensing; remote sensing applications;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2012.2233722
Filename :
6412737
Link To Document :
بازگشت