Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...

An object-based method for automatic iceberg detection from Advanced Synthetic Aperture Radar (ASAR) images has been developed and applied in the Amundsen Sea, Antarctica. The automatic identification is based on brightness and spatial parameters of the ASAR images at five scale levels, and was veri...

Full description

Bibliographic Details
Main Authors: Mazur, Aleksandra Katarzyna, Wåhlin, Anna, Krężel, Adam
Format: Dataset
Language:English
Published: PANGAEA 2016
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.856847
https://doi.pangaea.de/10.1594/PANGAEA.856847
id ftdatacite:10.1594/pangaea.856847
record_format openpolar
spelling ftdatacite:10.1594/pangaea.856847 2024-09-15T17:38:59+00:00 Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ... Mazur, Aleksandra Katarzyna Wåhlin, Anna Krężel, Adam 2016 application/zip https://dx.doi.org/10.1594/pangaea.856847 https://doi.pangaea.de/10.1594/PANGAEA.856847 en eng PANGAEA https://dx.doi.org/10.1016/j.rse.2016.11.013 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 dataset Supplementary Dataset Dataset 2016 ftdatacite https://doi.org/10.1594/pangaea.85684710.1016/j.rse.2016.11.013 2024-08-01T10:57:37Z An object-based method for automatic iceberg detection from Advanced Synthetic Aperture Radar (ASAR) images has been developed and applied in the Amundsen Sea, Antarctica. The automatic identification is based on brightness and spatial parameters of the ASAR images at five scale levels, and was verified with manual classification in four areas chosen to represent varying environmental conditions. The presented algorithm works comparatively well with images of the ocean in freezing temperatures and strong wind conditions, common in the Amundsen Sea. The detection rate was 96.2% which corresponds to 93.2% of the icebergs area, for all seasons. The algorithm generated 3.8% errors in the form of 'misses' and 7.0% of 'false alarms', mainly caused by the presence of ice floes.The method was applied on 432 radar images acquired in 2011 under different meteorological, oceanographic and sea ice conditions. As an output a map showing the probability of finding icebergs has been created. It shows that high probability ... : Format of GDB files:1) Longitude of a center (X_deg)2) Latitude of a centre (Y_deg)3) Area in km**2 (Area_km2)4) Perimeter in km (Perim_km)Projection: Lambert Azimuthal Equal Area: Datum: WGS-84; central_meridian = -115; latitude_of_origin = -90; false_easting = 0.0; false_northing = 0.0 ... Dataset Amundsen Sea Antarc* Antarctica Sea ice DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
description An object-based method for automatic iceberg detection from Advanced Synthetic Aperture Radar (ASAR) images has been developed and applied in the Amundsen Sea, Antarctica. The automatic identification is based on brightness and spatial parameters of the ASAR images at five scale levels, and was verified with manual classification in four areas chosen to represent varying environmental conditions. The presented algorithm works comparatively well with images of the ocean in freezing temperatures and strong wind conditions, common in the Amundsen Sea. The detection rate was 96.2% which corresponds to 93.2% of the icebergs area, for all seasons. The algorithm generated 3.8% errors in the form of 'misses' and 7.0% of 'false alarms', mainly caused by the presence of ice floes.The method was applied on 432 radar images acquired in 2011 under different meteorological, oceanographic and sea ice conditions. As an output a map showing the probability of finding icebergs has been created. It shows that high probability ... : Format of GDB files:1) Longitude of a center (X_deg)2) Latitude of a centre (Y_deg)3) Area in km**2 (Area_km2)4) Perimeter in km (Perim_km)Projection: Lambert Azimuthal Equal Area: Datum: WGS-84; central_meridian = -115; latitude_of_origin = -90; false_easting = 0.0; false_northing = 0.0 ...
format Dataset
author Mazur, Aleksandra Katarzyna
Wåhlin, Anna
Krężel, Adam
spellingShingle Mazur, Aleksandra Katarzyna
Wåhlin, Anna
Krężel, Adam
Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...
author_facet Mazur, Aleksandra Katarzyna
Wåhlin, Anna
Krężel, Adam
author_sort Mazur, Aleksandra Katarzyna
title Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...
title_short Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...
title_full Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...
title_fullStr Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...
title_full_unstemmed Icebergs in the Amundsen Sea (Antarctica) determined from ENVISAT ASAR WSM data using object-based image analysis approach, link to ESRI GDB files ...
title_sort icebergs in the amundsen sea (antarctica) determined from envisat asar wsm data using object-based image analysis approach, link to esri gdb files ...
publisher PANGAEA
publishDate 2016
url https://dx.doi.org/10.1594/pangaea.856847
https://doi.pangaea.de/10.1594/PANGAEA.856847
genre Amundsen Sea
Antarc*
Antarctica
Sea ice
genre_facet Amundsen Sea
Antarc*
Antarctica
Sea ice
op_relation https://dx.doi.org/10.1016/j.rse.2016.11.013
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.85684710.1016/j.rse.2016.11.013
_version_ 1810476618094739456