Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS
Abstract. 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...
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ftdatacite:10.5281/zenodo.2309529 2023-05-15T18:45:33+02:00 Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS Polina, Lemenkova 2015 https://dx.doi.org/10.5281/zenodo.2309529 https://zenodo.org/record/2309529 unknown Zenodo https://elibrary.ru/item.asp?id=28416940 https://elibrary.ru/item.asp?id=28416940 https://dx.doi.org/10.5281/zenodo.2309528 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Landsat TM satellite images GIS ILWIS GIS image processing remote sensing mapping image classification geospatial analysis Text Journal article article-journal ScholarlyArticle 2015 ftdatacite https://doi.org/10.5281/zenodo.2309529 https://doi.org/10.5281/zenodo.2309528 2021-11-05T12:55:41Z Abstract. 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. : P. Lemenkova. "Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS". In: Bulletin of the Ufa State Petroleum Technological University 1.2 (2015): Information Technologies. Problems and Solutions. Ed. by F. U. Enikeev, pp. 265–271. issn: 2500-2996. url: https://elibrary.ru/item.asp?id=28416940. 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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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
unknown |
topic |
Landsat TM satellite images GIS ILWIS GIS image processing remote sensing mapping image classification geospatial analysis |
spellingShingle |
Landsat TM satellite images GIS ILWIS GIS image processing remote sensing mapping image classification geospatial analysis Polina, Lemenkova Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS |
topic_facet |
Landsat TM satellite images GIS ILWIS GIS image processing remote sensing mapping image classification geospatial analysis |
description |
Abstract. 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. : P. Lemenkova. "Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS". In: Bulletin of the Ufa State Petroleum Technological University 1.2 (2015): Information Technologies. Problems and Solutions. Ed. by F. U. Enikeev, pp. 265–271. issn: 2500-2996. url: https://elibrary.ru/item.asp?id=28416940. |
format |
Text |
author |
Polina, Lemenkova |
author_facet |
Polina, Lemenkova |
author_sort |
Polina, Lemenkova |
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 |
Zenodo |
publishDate |
2015 |
url |
https://dx.doi.org/10.5281/zenodo.2309529 https://zenodo.org/record/2309529 |
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://elibrary.ru/item.asp?id=28416940 https://elibrary.ru/item.asp?id=28416940 https://dx.doi.org/10.5281/zenodo.2309528 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.2309529 https://doi.org/10.5281/zenodo.2309528 |
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1766236631006707712 |