Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12)
A circumpolar representative and consistent wetland map is required for a range of applications ranging from upscaling of carbon fluxes and pools to climate modelling and wildlife habitat assessment. Currently available data sets lack sufficient accuracy and/or thematic detail in many regions of the...
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Format: | Dataset |
Language: | English |
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PANGAEA
2015
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.840548 https://doi.org/10.1594/PANGAEA.840548 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.840548 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Arctic Changing Permafrost in the Arctic and its Global Effects in the 21st Century File content File format File size PAGE21 pan-Arctic Uniform resource locator/link to file |
spellingShingle |
Arctic Changing Permafrost in the Arctic and its Global Effects in the 21st Century File content File format File size PAGE21 pan-Arctic Uniform resource locator/link to file Widhalm, Barbara Bartsch, Annett Heim, Birgit Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) |
topic_facet |
Arctic Changing Permafrost in the Arctic and its Global Effects in the 21st Century File content File format File size PAGE21 pan-Arctic Uniform resource locator/link to file |
description |
A circumpolar representative and consistent wetland map is required for a range of applications ranging from upscaling of carbon fluxes and pools to climate modelling and wildlife habitat assessment. Currently available data sets lack sufficient accuracy and/or thematic detail in many regions of the Arctic. Synthetic aperture radar (SAR) data from satellites have already been shown to be suitable for wetland mapping. Envisat Advanced SAR (ASAR) provides global medium-resolution data which are examined with particular focus on spatial wetness patterns in this study. It was found that winter minimum backscatter values as well as their differences to summer minimum values reflect vegetation physiognomy units of certain wetness regimes. Low winter backscatter values are mostly found in areas vegetated by plant communities typically for wet regions in the tundra biome, due to low roughness and low volume scattering caused by the predominant vegetation. Summer to winter difference backscatter values, which in contrast to the winter values depend almost solely on soil moisture content, show expected higher values for wet regions. While the approach using difference values would seem more reasonable in order to delineate wetness patterns considering its direct link to soil moisture, it was found that a classification of winter minimum backscatter values is more applicable in tundra regions due to its better separability into wetness classes. Previous approaches for wetland detection have investigated the impact of liquid water in the soil on backscatter conditions. In this study the absence of liquid water is utilized. Owing to a lack of comparable regional to circumpolar data with respect to thematic detail, a potential wetland map cannot directly be validated; however, one might claim the validity of such a product by comparison with vegetation maps, which hold some information on the wetness status of certain classes. It was shown that the Envisat ASAR-derived classes are related to wetland classes of conventional ... |
format |
Dataset |
author |
Widhalm, Barbara Bartsch, Annett Heim, Birgit |
author_facet |
Widhalm, Barbara Bartsch, Annett Heim, Birgit |
author_sort |
Widhalm, Barbara |
title |
Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) |
title_short |
Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) |
title_full |
Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) |
title_fullStr |
Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) |
title_full_unstemmed |
Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) |
title_sort |
circumarctic wetland dataset based on envisat asar global monitoring mode with links to geotiff image and netcdf files (2005-01 to 2011-12) |
publisher |
PANGAEA |
publishDate |
2015 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.840548 https://doi.org/10.1594/PANGAEA.840548 |
op_coverage |
LATITUDE: 90.000000 * LONGITUDE: 0.000000 |
long_lat |
ENVELOPE(134.033,134.033,68.667,68.667) ENVELOPE(0.000000,0.000000,90.000000,90.000000) |
geographic |
Arctic Asar |
geographic_facet |
Arctic Asar |
genre |
Arctic permafrost Tundra |
genre_facet |
Arctic permafrost Tundra |
op_source |
Supplement to: Widhalm, Barbara; Bartsch, Annett; Heim, Birgit (2015): A novel approach for the characterization of tundra wetland regions with C-band SAR satellite data. International Journal of Remote Sensing, 36(22), 5537-5556, https://doi.org/10.1080/01431161.2015.1101505 |
op_relation |
Bartsch, Annett; Sabel, Daniel; Wagner, Wolfgang; Park, Sang-Eun (2011): Considerations for derivation and use of soil moisture data from active microwave satellites at high altitudes. IGARSS 2011, IEEE International Geoscience and Remote Sensing Symposium, 24-29 July 2011, Vancouver, British Columbia, Canada, 3132-3135, https://doi.org/10.1109/IGARSS.2011.6049882 Bartsch, Annett; Wagner, Wolfgang; Scipal, Klaus; Pathe, Carsten; Sabel, Daniel; Wolski, P (2009): Global monitoring of wetlands – the value of ENVISAT ASAR Global mode. Journal of Environmental Management, 90(7), 2226-2233, https://doi.org/10.1016/j.jenvman.2007.06.023 Widhalm, Barbara; Bartsch, Annett; Sabel, Daniel; Heim, Birgit (2014): PAGE21 WP5 - Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode. Department of Geodesy and Geoinformation (GEO) - Research Groups Photogrammetry & Remote Sensing, Vienna University of Technology, 7 pp, hdl:10013/epic.44477.d001 https://doi.pangaea.de/10.1594/PANGAEA.840548 https://doi.org/10.1594/PANGAEA.840548 |
op_rights |
CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/PANGAEA.840548 https://doi.org/10.1080/01431161.2015.1101505 https://doi.org/10.1109/IGARSS.2011.6049882 https://doi.org/10.1016/j.jenvman.2007.06.023 |
_version_ |
1766326225204150272 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.840548 2023-05-15T14:54:30+02:00 Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode with links to geotiff image and NetCDF files (2005-01 to 2011-12) Widhalm, Barbara Bartsch, Annett Heim, Birgit LATITUDE: 90.000000 * LONGITUDE: 0.000000 2015-11-23 text/tab-separated-values, 8 data points https://doi.pangaea.de/10.1594/PANGAEA.840548 https://doi.org/10.1594/PANGAEA.840548 en eng PANGAEA Bartsch, Annett; Sabel, Daniel; Wagner, Wolfgang; Park, Sang-Eun (2011): Considerations for derivation and use of soil moisture data from active microwave satellites at high altitudes. IGARSS 2011, IEEE International Geoscience and Remote Sensing Symposium, 24-29 July 2011, Vancouver, British Columbia, Canada, 3132-3135, https://doi.org/10.1109/IGARSS.2011.6049882 Bartsch, Annett; Wagner, Wolfgang; Scipal, Klaus; Pathe, Carsten; Sabel, Daniel; Wolski, P (2009): Global monitoring of wetlands – the value of ENVISAT ASAR Global mode. Journal of Environmental Management, 90(7), 2226-2233, https://doi.org/10.1016/j.jenvman.2007.06.023 Widhalm, Barbara; Bartsch, Annett; Sabel, Daniel; Heim, Birgit (2014): PAGE21 WP5 - Circumarctic wetland dataset based on ENVISAT ASAR Global Monitoring Mode. Department of Geodesy and Geoinformation (GEO) - Research Groups Photogrammetry & Remote Sensing, Vienna University of Technology, 7 pp, hdl:10013/epic.44477.d001 https://doi.pangaea.de/10.1594/PANGAEA.840548 https://doi.org/10.1594/PANGAEA.840548 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Widhalm, Barbara; Bartsch, Annett; Heim, Birgit (2015): A novel approach for the characterization of tundra wetland regions with C-band SAR satellite data. International Journal of Remote Sensing, 36(22), 5537-5556, https://doi.org/10.1080/01431161.2015.1101505 Arctic Changing Permafrost in the Arctic and its Global Effects in the 21st Century File content File format File size PAGE21 pan-Arctic Uniform resource locator/link to file Dataset 2015 ftpangaea https://doi.org/10.1594/PANGAEA.840548 https://doi.org/10.1080/01431161.2015.1101505 https://doi.org/10.1109/IGARSS.2011.6049882 https://doi.org/10.1016/j.jenvman.2007.06.023 2023-01-20T09:04:50Z A circumpolar representative and consistent wetland map is required for a range of applications ranging from upscaling of carbon fluxes and pools to climate modelling and wildlife habitat assessment. Currently available data sets lack sufficient accuracy and/or thematic detail in many regions of the Arctic. Synthetic aperture radar (SAR) data from satellites have already been shown to be suitable for wetland mapping. Envisat Advanced SAR (ASAR) provides global medium-resolution data which are examined with particular focus on spatial wetness patterns in this study. It was found that winter minimum backscatter values as well as their differences to summer minimum values reflect vegetation physiognomy units of certain wetness regimes. Low winter backscatter values are mostly found in areas vegetated by plant communities typically for wet regions in the tundra biome, due to low roughness and low volume scattering caused by the predominant vegetation. Summer to winter difference backscatter values, which in contrast to the winter values depend almost solely on soil moisture content, show expected higher values for wet regions. While the approach using difference values would seem more reasonable in order to delineate wetness patterns considering its direct link to soil moisture, it was found that a classification of winter minimum backscatter values is more applicable in tundra regions due to its better separability into wetness classes. Previous approaches for wetland detection have investigated the impact of liquid water in the soil on backscatter conditions. In this study the absence of liquid water is utilized. Owing to a lack of comparable regional to circumpolar data with respect to thematic detail, a potential wetland map cannot directly be validated; however, one might claim the validity of such a product by comparison with vegetation maps, which hold some information on the wetness status of certain classes. It was shown that the Envisat ASAR-derived classes are related to wetland classes of conventional ... Dataset Arctic permafrost Tundra PANGAEA - Data Publisher for Earth & Environmental Science Arctic Asar ENVELOPE(134.033,134.033,68.667,68.667) ENVELOPE(0.000000,0.000000,90.000000,90.000000) |