Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS.
Bulletin of the Ufa State Petroleum Technological Uni- versity 1. Information Technologies. Problems and Solutions (ed Enikeev, F. U.) 265–271. issn: 2500-2996 (2015). The emphasis of this article is placed on the technical application of the remote sensing tools and methods for studies of vegetatio...
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ftdatacite:10.6084/m9.figshare.7439219.v1 2023-05-15T18:45:33+02:00 Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. Lemenkova, Polina 2018 https://dx.doi.org/10.6084/m9.figshare.7439219.v1 https://figshare.com/articles/Modelling_Landscape_Changes_and_Detecting_Land_Cover_Types_by_Means_of_Remote_Sensing_Data_and_ILWIS_GIS_/7439219/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.7439219 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 Geography 60302 Biogeography and Phylogeography FOS Biological sciences 160401 Economic Geography FOS Social and economic geography Physical Geography 160403 Social and Cultural Geography Text article-journal Journal contribution ScholarlyArticle 2018 ftdatacite https://doi.org/10.6084/m9.figshare.7439219.v1 https://doi.org/10.6084/m9.figshare.7439219 2021-11-05T12:55:41Z Bulletin of the Ufa State Petroleum Technological Uni- versity 1. Information Technologies. Problems and Solutions (ed Enikeev, F. U.) 265–271. issn: 2500-2996 (2015). The emphasis of this article is placed on the technical application of the remote sensing tools and methods for studies of vegetation coverage in northern ecosystems. The study area is located in Yamal peninsula, the Russian Federation. Landsat imagery covering study area in 1988, 2001 and 2011 has been analyzed using ILWIS GIS. The image processing was performed using semi-automated method of image interpretation. The remote sensing data classification from ILWIS menu enabled to map vegetation coverage over research area, which helped to identify land cover types and distribution in Yamal. Results show that Landsat TM imagery with 30 m mesh spacing is useful for landscape mapping and the interpretation of the vegetation cover types. Text Yamal Peninsula DataCite Metadata Store (German National Library of Science and Technology) Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Geography 60302 Biogeography and Phylogeography FOS Biological sciences 160401 Economic Geography FOS Social and economic geography Physical Geography 160403 Social and Cultural Geography |
spellingShingle |
Geography 60302 Biogeography and Phylogeography FOS Biological sciences 160401 Economic Geography FOS Social and economic geography Physical Geography 160403 Social and Cultural Geography Lemenkova, Polina Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. |
topic_facet |
Geography 60302 Biogeography and Phylogeography FOS Biological sciences 160401 Economic Geography FOS Social and economic geography Physical Geography 160403 Social and Cultural Geography |
description |
Bulletin of the Ufa State Petroleum Technological Uni- versity 1. Information Technologies. Problems and Solutions (ed Enikeev, F. U.) 265–271. issn: 2500-2996 (2015). The emphasis of this article is placed on the technical application of the remote sensing tools and methods for studies of vegetation coverage in northern ecosystems. The study area is located in Yamal peninsula, the Russian Federation. Landsat imagery covering study area in 1988, 2001 and 2011 has been analyzed using ILWIS GIS. The image processing was performed using semi-automated method of image interpretation. The remote sensing data classification from ILWIS menu enabled to map vegetation coverage over research area, which helped to identify land cover types and distribution in Yamal. Results show that Landsat TM imagery with 30 m mesh spacing is useful for landscape mapping and the interpretation of the vegetation cover types. |
format |
Text |
author |
Lemenkova, Polina |
author_facet |
Lemenkova, Polina |
author_sort |
Lemenkova, Polina |
title |
Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. |
title_short |
Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. |
title_full |
Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. |
title_fullStr |
Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. |
title_full_unstemmed |
Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS. |
title_sort |
modelling landscape changes and detecting land cover types by means of remote sensing data and ilwis gis. |
publisher |
figshare |
publishDate |
2018 |
url |
https://dx.doi.org/10.6084/m9.figshare.7439219.v1 https://figshare.com/articles/Modelling_Landscape_Changes_and_Detecting_Land_Cover_Types_by_Means_of_Remote_Sensing_Data_and_ILWIS_GIS_/7439219/1 |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Yamal Peninsula |
geographic_facet |
Yamal Peninsula |
genre |
Yamal Peninsula |
genre_facet |
Yamal Peninsula |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.7439219 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.6084/m9.figshare.7439219.v1 https://doi.org/10.6084/m9.figshare.7439219 |
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