GIS mapping of the Barents and Pechora Seas
International audience Methods of GIS mapping of environmental of the Barents and Pechora Seas under the influence of both natural and anthropogenic factors have been devised. For integrated GIS project of the Russian Arctic Seas several thematic layers have been created. These layers characterize t...
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ftccsdartic:oai:HAL:hal-01974744v1 2023-05-15T15:19:13+02:00 GIS mapping of the Barents and Pechora Seas Suetova, Inna Ushakova, Ludmila Lemenkova, Polina Ocean University of China (OUC) La Coruña, Spain 2005-07-09 https://hal.archives-ouvertes.fr/hal-01974744 https://hal.archives-ouvertes.fr/hal-01974744/document https://hal.archives-ouvertes.fr/hal-01974744/file/Suetova_etal_ICC-Proceedings-2005.pdf https://doi.org/10.6084/m9.figshare.7435529 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.6084/m9.figshare.7435529 hal-01974744 https://hal.archives-ouvertes.fr/hal-01974744 https://hal.archives-ouvertes.fr/hal-01974744/document https://hal.archives-ouvertes.fr/hal-01974744/file/Suetova_etal_ICC-Proceedings-2005.pdf doi:10.6084/m9.figshare.7435529 info:eu-repo/semantics/OpenAccess Digital Cartography and GIS for Sustainable Development of Territories https://hal.archives-ouvertes.fr/hal-01974744 Digital Cartography and GIS for Sustainable Development of Territories, Jul 2005, La Coruña, Spain. ⟨10.6084/m9.figshare.7435529⟩ https://icaci.org/files/documents/ICC_proceedings/ICC2005/htm/oral.htm GIS & Spatial Analyses Oceanographic images Marine Ecology Marine environnement GIS Data Modelling SIG Systèmes d'information géographique SIG et aménagement SIG et modélisation spatiale [SHS.GEO]Humanities and Social Sciences/Geography [SHS.ENVIR]Humanities and Social Sciences/Environmental studies [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/conferenceObject Conference papers 2005 ftccsdartic https://doi.org/10.6084/m9.figshare.7435529 2020-12-24T23:13:09Z International audience Methods of GIS mapping of environmental of the Barents and Pechora Seas under the influence of both natural and anthropogenic factors have been devised. For integrated GIS project of the Russian Arctic Seas several thematic layers have been created. These layers characterize the natural conditions of the Seas, the information on income of pollutants from different sources, possible ways of their transfer and deposition in bottom sediments. The analysis of the maps of geoecological situation of the Barents and Pechora Seas allows picking out the next geoecological regions: relatively safe, potentially dangerous and of high ecological stress. Methods of GIS mapping of sea territories for the means of estimating their ecological condition formed under the influence of both natural and anthropogenic factors are being developed. Scientists believe that this situation is due to several reasons: lack of firm evaluation criteria of sea pollution, imperfection of modern technologies and methods of ecological monitoring of the sea water areas. The analysis of the information on sea ecology that has been gathered up to now shows dissimilar data coverage of littoral and open water areas. Most of the information is provided for shelf areas of the water objects. Also there is a great diversity in the observation time and space. Retrieving methods of ecological information provide a diverse character of observations. As a result there is a sure lack of primary data and reliable information that is necessary for forming data banks and bases. For the means of producing a series of analytical and complex maps of Barents and Pechora seas with the use of GIS technologies we have analysed and worked with different data concerning natural and anthropogenic factors that determine ecological condition of the seas. Also we have developed a method of forming data base that includes maps of different scales, topics and numerous statistics. The GIS ArcInfo has been used to analyse topological thematic layers. Such ... Conference Object Arctic Pechora Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
GIS & Spatial Analyses Oceanographic images Marine Ecology Marine environnement GIS Data Modelling SIG Systèmes d'information géographique SIG et aménagement SIG et modélisation spatiale [SHS.GEO]Humanities and Social Sciences/Geography [SHS.ENVIR]Humanities and Social Sciences/Environmental studies [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
GIS & Spatial Analyses Oceanographic images Marine Ecology Marine environnement GIS Data Modelling SIG Systèmes d'information géographique SIG et aménagement SIG et modélisation spatiale [SHS.GEO]Humanities and Social Sciences/Geography [SHS.ENVIR]Humanities and Social Sciences/Environmental studies [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Suetova, Inna Ushakova, Ludmila Lemenkova, Polina GIS mapping of the Barents and Pechora Seas |
topic_facet |
GIS & Spatial Analyses Oceanographic images Marine Ecology Marine environnement GIS Data Modelling SIG Systèmes d'information géographique SIG et aménagement SIG et modélisation spatiale [SHS.GEO]Humanities and Social Sciences/Geography [SHS.ENVIR]Humanities and Social Sciences/Environmental studies [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDU.STU]Sciences of the Universe [physics]/Earth Sciences [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience Methods of GIS mapping of environmental of the Barents and Pechora Seas under the influence of both natural and anthropogenic factors have been devised. For integrated GIS project of the Russian Arctic Seas several thematic layers have been created. These layers characterize the natural conditions of the Seas, the information on income of pollutants from different sources, possible ways of their transfer and deposition in bottom sediments. The analysis of the maps of geoecological situation of the Barents and Pechora Seas allows picking out the next geoecological regions: relatively safe, potentially dangerous and of high ecological stress. Methods of GIS mapping of sea territories for the means of estimating their ecological condition formed under the influence of both natural and anthropogenic factors are being developed. Scientists believe that this situation is due to several reasons: lack of firm evaluation criteria of sea pollution, imperfection of modern technologies and methods of ecological monitoring of the sea water areas. The analysis of the information on sea ecology that has been gathered up to now shows dissimilar data coverage of littoral and open water areas. Most of the information is provided for shelf areas of the water objects. Also there is a great diversity in the observation time and space. Retrieving methods of ecological information provide a diverse character of observations. As a result there is a sure lack of primary data and reliable information that is necessary for forming data banks and bases. For the means of producing a series of analytical and complex maps of Barents and Pechora seas with the use of GIS technologies we have analysed and worked with different data concerning natural and anthropogenic factors that determine ecological condition of the seas. Also we have developed a method of forming data base that includes maps of different scales, topics and numerous statistics. The GIS ArcInfo has been used to analyse topological thematic layers. Such ... |
author2 |
Ocean University of China (OUC) |
format |
Conference Object |
author |
Suetova, Inna Ushakova, Ludmila Lemenkova, Polina |
author_facet |
Suetova, Inna Ushakova, Ludmila Lemenkova, Polina |
author_sort |
Suetova, Inna |
title |
GIS mapping of the Barents and Pechora Seas |
title_short |
GIS mapping of the Barents and Pechora Seas |
title_full |
GIS mapping of the Barents and Pechora Seas |
title_fullStr |
GIS mapping of the Barents and Pechora Seas |
title_full_unstemmed |
GIS mapping of the Barents and Pechora Seas |
title_sort |
gis mapping of the barents and pechora seas |
publisher |
HAL CCSD |
publishDate |
2005 |
url |
https://hal.archives-ouvertes.fr/hal-01974744 https://hal.archives-ouvertes.fr/hal-01974744/document https://hal.archives-ouvertes.fr/hal-01974744/file/Suetova_etal_ICC-Proceedings-2005.pdf https://doi.org/10.6084/m9.figshare.7435529 |
op_coverage |
La Coruña, Spain |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Pechora |
genre_facet |
Arctic Pechora |
op_source |
Digital Cartography and GIS for Sustainable Development of Territories https://hal.archives-ouvertes.fr/hal-01974744 Digital Cartography and GIS for Sustainable Development of Territories, Jul 2005, La Coruña, Spain. ⟨10.6084/m9.figshare.7435529⟩ https://icaci.org/files/documents/ICC_proceedings/ICC2005/htm/oral.htm |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.6084/m9.figshare.7435529 hal-01974744 https://hal.archives-ouvertes.fr/hal-01974744 https://hal.archives-ouvertes.fr/hal-01974744/document https://hal.archives-ouvertes.fr/hal-01974744/file/Suetova_etal_ICC-Proceedings-2005.pdf doi:10.6084/m9.figshare.7435529 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.6084/m9.figshare.7435529 |
_version_ |
1766349401536593920 |