Header

UZH-Logo

Maintenance Infos

Glacier mapping in high mountains using DEMs, Landsat and ASTER data


Bolch, Tobias; Kamp, Ulrich (2005). Glacier mapping in high mountains using DEMs, Landsat and ASTER data. In: 8 th International Symposium on High Mountain Remote Sensing Cartography, La Paz (Bolivien), 20 March 2005 - 27 March 2005, 37-48.

Abstract

Glaciers are sensitive climate indicators and thus subject to monitoring of environmental and climate changes. Remote sensing techniques are often the only way to analyze glaciers in remote mountains and to monitor a large number of glaciers at the same time. Although several glacier mapping methods exist, often, results are still not good enough for in-depth conclusions. In particular, this is true for debris-covered glaciers. For the Bernina Group in the Swiss Alps and for the northern Tien Shan in Kazakhstan and Kyrgyzstan a glacier mapping was undertaken employing digital elevation models (DEMs). DEMs were generated from ASTER and SRTM3 data and compared with each other and -for the Bernina Group-compared with the Swiss DHM25L2. Whereas ASTER DEM elevations are too high on average, SRTM3 DEM elevations are slightly too low. However, both DEMs are of good use for glacier delineation. The glacier mapping approach includes Landsat TM4/TM5-ratio images, multispectral and morphometric analysis. Results are satisfying for debris-free and larger debris-covered glaciers in both study areas. The next step should be an automated glacier mapping method.

Abstract

Glaciers are sensitive climate indicators and thus subject to monitoring of environmental and climate changes. Remote sensing techniques are often the only way to analyze glaciers in remote mountains and to monitor a large number of glaciers at the same time. Although several glacier mapping methods exist, often, results are still not good enough for in-depth conclusions. In particular, this is true for debris-covered glaciers. For the Bernina Group in the Swiss Alps and for the northern Tien Shan in Kazakhstan and Kyrgyzstan a glacier mapping was undertaken employing digital elevation models (DEMs). DEMs were generated from ASTER and SRTM3 data and compared with each other and -for the Bernina Group-compared with the Swiss DHM25L2. Whereas ASTER DEM elevations are too high on average, SRTM3 DEM elevations are slightly too low. However, both DEMs are of good use for glacier delineation. The glacier mapping approach includes Landsat TM4/TM5-ratio images, multispectral and morphometric analysis. Results are satisfying for debris-free and larger debris-covered glaciers in both study areas. The next step should be an automated glacier mapping method.

Statistics

Downloads

3 downloads since deposited on 22 May 2017
3 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:27 March 2005
Deposited On:22 May 2017 12:24
Last Modified:04 Jun 2017 18:58
Publisher:Karl-Franzens-Universität Graz
Number:41
Free access at:Official URL. An embargo period may apply.
Official URL:https://geographie.uni-graz.at/de/forschung/unsere-schriftreihen/grazer-schriften-der-geographie-und-raumforschung/

Download

Preview Icon on Download
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 1MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations