Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...

Wetlands store large amounts of carbon, and depending on their status and type, they release specific amounts of methane gas to the atmosphere. The connection between wetland type and methane emission has been investigated in various studies and utilized in climate change monitoring and modelling. F...

Full description

Bibliographic Details
Main Authors: Reschke, Julia, Bartsch, Annett, Schlaffer, Stefan, Schepaschenko, Dmitry
Format: Dataset
Language:English
Published: PANGAEA 2012
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.834502
https://doi.pangaea.de/10.1594/PANGAEA.834502
id ftdatacite:10.1594/pangaea.834502
record_format openpolar
spelling ftdatacite:10.1594/pangaea.834502 2024-09-15T18:02:37+00:00 Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ... Reschke, Julia Bartsch, Annett Schlaffer, Stefan Schepaschenko, Dmitry 2012 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.834502 https://doi.pangaea.de/10.1594/PANGAEA.834502 en eng PANGAEA https://dx.doi.org/10.3390/rs4102923 https://dx.doi.org/10.1088/1748-9326/8/4/045026 https://dx.doi.org/10.5194/bg-9-703-2012 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Event label DATE/TIME Date/time end File name File size Uniform resource locator/link to file Satellite remote sensing Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 dataset Supplementary Dataset Dataset 2012 ftdatacite https://doi.org/10.1594/pangaea.83450210.3390/rs410292310.1088/1748-9326/8/4/04502610.5194/bg-9-703-2012 2024-08-01T10:29:01Z Wetlands store large amounts of carbon, and depending on their status and type, they release specific amounts of methane gas to the atmosphere. The connection between wetland type and methane emission has been investigated in various studies and utilized in climate change monitoring and modelling. For improved estimation of methane emissions, land surface models require information such as the wetland fraction and its dynamics over large areas. Existing datasets of wetland dynamics present the total amount of wetland (fraction) for each model grid cell, but do not discriminate the different wetland types like permanent lakes, periodically inundated areas or peatlands. Wetland types differently influence methane fluxes and thus their contribution to the total wetland fraction should be quantified. Especially wetlands of permafrost regions are expected to have a strong impact on future climate due to soil thawing. In this study ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the ... : ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the distribution of areas with a long-term high degree of saturation with water (hSW) as well as open water (10 day intervals). For the whole northern Russia, areas with hSW were delineated and discriminated from dynamic and open water bodies for the years 2007 and 2008. The identified areas overlap with zones of high carbon storage. Comparison with a range of related datasets (static and dynamic) showed that hSW represents not only peatlands but also temporary wetlands associated with post-forest fire conditions in permafrost regions. This experimental wetland product has been compiled within the framework of the ESA STSE ALANIS Methane project (www.alanis-methane.info). It covers most lowland areas of Siberia. The maps represent the snow-free season of 2007 and 2008, including open water with 10 day intervals for July and August 2007 over selected regions. Please consult the product guide regarding known issues and documentation. Quality ... Dataset Climate change permafrost Siberia DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Event label
DATE/TIME
Date/time end
File name
File size
Uniform resource locator/link to file
Satellite remote sensing
Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21
spellingShingle Event label
DATE/TIME
Date/time end
File name
File size
Uniform resource locator/link to file
Satellite remote sensing
Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21
Reschke, Julia
Bartsch, Annett
Schlaffer, Stefan
Schepaschenko, Dmitry
Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...
topic_facet Event label
DATE/TIME
Date/time end
File name
File size
Uniform resource locator/link to file
Satellite remote sensing
Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21
description Wetlands store large amounts of carbon, and depending on their status and type, they release specific amounts of methane gas to the atmosphere. The connection between wetland type and methane emission has been investigated in various studies and utilized in climate change monitoring and modelling. For improved estimation of methane emissions, land surface models require information such as the wetland fraction and its dynamics over large areas. Existing datasets of wetland dynamics present the total amount of wetland (fraction) for each model grid cell, but do not discriminate the different wetland types like permanent lakes, periodically inundated areas or peatlands. Wetland types differently influence methane fluxes and thus their contribution to the total wetland fraction should be quantified. Especially wetlands of permafrost regions are expected to have a strong impact on future climate due to soil thawing. In this study ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the ... : ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the distribution of areas with a long-term high degree of saturation with water (hSW) as well as open water (10 day intervals). For the whole northern Russia, areas with hSW were delineated and discriminated from dynamic and open water bodies for the years 2007 and 2008. The identified areas overlap with zones of high carbon storage. Comparison with a range of related datasets (static and dynamic) showed that hSW represents not only peatlands but also temporary wetlands associated with post-forest fire conditions in permafrost regions. This experimental wetland product has been compiled within the framework of the ESA STSE ALANIS Methane project (www.alanis-methane.info). It covers most lowland areas of Siberia. The maps represent the snow-free season of 2007 and 2008, including open water with 10 day intervals for July and August 2007 over selected regions. Please consult the product guide regarding known issues and documentation. Quality ...
format Dataset
author Reschke, Julia
Bartsch, Annett
Schlaffer, Stefan
Schepaschenko, Dmitry
author_facet Reschke, Julia
Bartsch, Annett
Schlaffer, Stefan
Schepaschenko, Dmitry
author_sort Reschke, Julia
title Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...
title_short Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...
title_full Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...
title_fullStr Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...
title_full_unstemmed Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs ...
title_sort wetland maps including open water extent dynamics based on envisat asar ws for siberia, 2007 and 2008, links to geotiffs ...
publisher PANGAEA
publishDate 2012
url https://dx.doi.org/10.1594/pangaea.834502
https://doi.pangaea.de/10.1594/PANGAEA.834502
genre Climate change
permafrost
Siberia
genre_facet Climate change
permafrost
Siberia
op_relation https://dx.doi.org/10.3390/rs4102923
https://dx.doi.org/10.1088/1748-9326/8/4/045026
https://dx.doi.org/10.5194/bg-9-703-2012
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_doi https://doi.org/10.1594/pangaea.83450210.3390/rs410292310.1088/1748-9326/8/4/04502610.5194/bg-9-703-2012
_version_ 1810440057459310592