Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia
Lake Hövsgöl is located on the southern fringe of the continuous permafrost zone in northern Mongolia. This paper describes a GIS‐based empirical permafrost model that is calibrated with ground temperature observations, and utilises a multi‐criteria approach to derive zones of permafrost favourabili...
Published in: | Permafrost and Periglacial Processes |
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Online Access: | https://doi.org/10.1002/ppp.554 |
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ftrepec:oai:RePEc:wly:perpro:v:17:y:2006:i:2:p:91-104 2023-05-15T17:55:21+02:00 Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia Bernd Etzelmüller Eva S. Flo Heggem N. Sharkhuu Regula Frauenfelder Andreas Kääb Clyde Goulden https://doi.org/10.1002/ppp.554 unknown https://doi.org/10.1002/ppp.554 article ftrepec https://doi.org/10.1002/ppp.554 2020-12-04T13:31:25Z Lake Hövsgöl is located on the southern fringe of the continuous permafrost zone in northern Mongolia. This paper describes a GIS‐based empirical permafrost model that is calibrated with ground temperature observations, and utilises a multi‐criteria approach to derive zones of permafrost favourability based on terrain parameters and land cover information. The scores are derived either by logistic regression or from satellite image information. The model is validated by DC resistivity tomography measurements. The overall permafrost distribution in the study area is well‐described and the method appears to be a valid approach for mapping permafrost at both local and regional scales in mountain areas with low data coverage. Copyright © 2006 John Wiley & Sons, Ltd. Article in Journal/Newspaper permafrost RePEc (Research Papers in Economics) Permafrost and Periglacial Processes 17 2 91 104 |
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Open Polar |
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RePEc (Research Papers in Economics) |
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description |
Lake Hövsgöl is located on the southern fringe of the continuous permafrost zone in northern Mongolia. This paper describes a GIS‐based empirical permafrost model that is calibrated with ground temperature observations, and utilises a multi‐criteria approach to derive zones of permafrost favourability based on terrain parameters and land cover information. The scores are derived either by logistic regression or from satellite image information. The model is validated by DC resistivity tomography measurements. The overall permafrost distribution in the study area is well‐described and the method appears to be a valid approach for mapping permafrost at both local and regional scales in mountain areas with low data coverage. Copyright © 2006 John Wiley & Sons, Ltd. |
format |
Article in Journal/Newspaper |
author |
Bernd Etzelmüller Eva S. Flo Heggem N. Sharkhuu Regula Frauenfelder Andreas Kääb Clyde Goulden |
spellingShingle |
Bernd Etzelmüller Eva S. Flo Heggem N. Sharkhuu Regula Frauenfelder Andreas Kääb Clyde Goulden Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia |
author_facet |
Bernd Etzelmüller Eva S. Flo Heggem N. Sharkhuu Regula Frauenfelder Andreas Kääb Clyde Goulden |
author_sort |
Bernd Etzelmüller |
title |
Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia |
title_short |
Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia |
title_full |
Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia |
title_fullStr |
Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia |
title_full_unstemmed |
Mountain permafrost distribution modelling using a multi‐criteria approach in the Hövsgöl area, northern Mongolia |
title_sort |
mountain permafrost distribution modelling using a multi‐criteria approach in the hövsgöl area, northern mongolia |
url |
https://doi.org/10.1002/ppp.554 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://doi.org/10.1002/ppp.554 |
op_doi |
https://doi.org/10.1002/ppp.554 |
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Permafrost and Periglacial Processes |
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17 |
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2 |
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91 |
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104 |
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1766163284906475520 |