The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)

Ice super-saturated permafrost deposits, formed syn-genetically during the Late Pleistocene, are widely distributed in coastal lowland regions of Arctic NE Siberia. The ice content of the silty deposits (up to 160 weight-percent compared to dry mass) makes them very susceptible for large-area thawin...

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Main Authors: Grosse, Guido, Schirrmeister, Lutz
Format: Conference Object
Language:unknown
Published: 2004
Subjects:
Ice
Online Access:https://epic.awi.de/id/eprint/11793/
https://hdl.handle.net/10013/epic.22239
id ftawi:oai:epic.awi.de:11793
record_format openpolar
spelling ftawi:oai:epic.awi.de:11793 2023-09-05T13:17:43+02:00 The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia) Grosse, Guido Schirrmeister, Lutz 2004 https://epic.awi.de/id/eprint/11793/ https://hdl.handle.net/10013/epic.22239 unknown Grosse, G. orcid:0000-0001-5895-2141 and Schirrmeister, L. orcid:0000-0001-9455-0596 (2004) The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia) , American Geophysical Union Conference, Fall Meeting 2004, 13-17 Dec., San Francisco, USA. . hdl:10013/epic.22239 EPIC3American Geophysical Union Conference, Fall Meeting 2004, 13-17 Dec., San Francisco, USA. Conference notRev 2004 ftawi 2023-08-22T19:49:32Z Ice super-saturated permafrost deposits, formed syn-genetically during the Late Pleistocene, are widely distributed in coastal lowland regions of Arctic NE Siberia. The ice content of the silty deposits (up to 160 weight-percent compared to dry mass) makes them very susceptible for large-area thawing and surface subsidence under warmer climate conditions. Hence, extensive thermokarst developed in this region during the Holocene. Generally, thermokarst is a significant factor in periglacial relief generation and landscape evolution. Additionally, the analysis of thermokarst-related transformation processes in periglacial landscapes is very important regarding the expected deep thawing of permafrost and the release of formerly frozen organic carbon in form of green house gases under a global warming scenario. To evaluate the Holocene thermokarst development and estimate possible future developments in the region, it is necessary to calculate and understand its actual extent. For this investigation, Landsat-ETM remote sensing data from the Lena-Anabar coastal lowland is used as an instrument for up-scaling local field data. Classes of different geomorphological units are discriminated with supervised classification algorithms based on various surface parameters like vegetation, relief, and soil moisture. These classes allow the characterization and quantification of periglacial landscape units with a focus on thermokarst features in the investigated area. The spatial distribution of identified thermokarst structures and their relationship to other geomorphological and hydrological features are analysed within a geographical information system using a digital elevation model and geomorphological parameters derived from the DEM. As result, quantitative and qualitative parameters for thermokarst structures in this Laptev Sea coastal region are derived. Conference Object Arctic Global warming Ice laptev Laptev Sea permafrost Thermokarst Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Anabar ENVELOPE(113.624,113.624,73.286,73.286) Arctic Laptev Sea
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Ice super-saturated permafrost deposits, formed syn-genetically during the Late Pleistocene, are widely distributed in coastal lowland regions of Arctic NE Siberia. The ice content of the silty deposits (up to 160 weight-percent compared to dry mass) makes them very susceptible for large-area thawing and surface subsidence under warmer climate conditions. Hence, extensive thermokarst developed in this region during the Holocene. Generally, thermokarst is a significant factor in periglacial relief generation and landscape evolution. Additionally, the analysis of thermokarst-related transformation processes in periglacial landscapes is very important regarding the expected deep thawing of permafrost and the release of formerly frozen organic carbon in form of green house gases under a global warming scenario. To evaluate the Holocene thermokarst development and estimate possible future developments in the region, it is necessary to calculate and understand its actual extent. For this investigation, Landsat-ETM remote sensing data from the Lena-Anabar coastal lowland is used as an instrument for up-scaling local field data. Classes of different geomorphological units are discriminated with supervised classification algorithms based on various surface parameters like vegetation, relief, and soil moisture. These classes allow the characterization and quantification of periglacial landscape units with a focus on thermokarst features in the investigated area. The spatial distribution of identified thermokarst structures and their relationship to other geomorphological and hydrological features are analysed within a geographical information system using a digital elevation model and geomorphological parameters derived from the DEM. As result, quantitative and qualitative parameters for thermokarst structures in this Laptev Sea coastal region are derived.
format Conference Object
author Grosse, Guido
Schirrmeister, Lutz
spellingShingle Grosse, Guido
Schirrmeister, Lutz
The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)
author_facet Grosse, Guido
Schirrmeister, Lutz
author_sort Grosse, Guido
title The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)
title_short The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)
title_full The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)
title_fullStr The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)
title_full_unstemmed The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia)
title_sort use of landsat-etm data, digital elevation models and gis analyses for quantification of holocene thermokarst: an example from the lena-anabar coastal region (ne siberia)
publishDate 2004
url https://epic.awi.de/id/eprint/11793/
https://hdl.handle.net/10013/epic.22239
long_lat ENVELOPE(113.624,113.624,73.286,73.286)
geographic Anabar
Arctic
Laptev Sea
geographic_facet Anabar
Arctic
Laptev Sea
genre Arctic
Global warming
Ice
laptev
Laptev Sea
permafrost
Thermokarst
Siberia
genre_facet Arctic
Global warming
Ice
laptev
Laptev Sea
permafrost
Thermokarst
Siberia
op_source EPIC3American Geophysical Union Conference, Fall Meeting 2004, 13-17 Dec., San Francisco, USA.
op_relation Grosse, G. orcid:0000-0001-5895-2141 and Schirrmeister, L. orcid:0000-0001-9455-0596 (2004) The use of Landsat-ETM Data, Digital Elevation Models and GIS Analyses for Quantification of Holocene Thermokarst: An Example From the Lena-Anabar Coastal Region (NE Siberia) , American Geophysical Union Conference, Fall Meeting 2004, 13-17 Dec., San Francisco, USA. . hdl:10013/epic.22239
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