Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images

Satellite multispectral images data is now a key source for spatially distributed land cover information, which is increasingly available in digital format for use in Geographic Information Systems (GIS). Remote sensing and GIS have become the most suitable technology of obtaining the required land...

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Main Authors: Arūnas Bujauskas, Eimuntas Paršeliūnas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2012-08-01
Series:Geodesy and Cartography
Subjects:
Online Access:https://btp.vgtu.lt/index.php/GAC/article/view/10953
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spelling doaj-62721d18787a4e2da6d0ecfab4e0e87c2021-07-02T12:37:33ZengVilnius Gediminas Technical UniversityGeodesy and Cartography2029-69912029-70092012-08-0132210.3846/13921541.2006.9636692Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral imagesArūnas Bujauskas0Eimuntas Paršeliūnas1Geodezijos ir kadastro katedra, Vilniaus Gedimino technikos universitetas, Saulėtekio al. 11, LT-10223 Vilnius-40, LietuvaGeodezijos ir kadastro katedra, Vilniaus Gedimino technikos universitetas, Saulėtekio al. 11, LT-10223 Vilnius-40, Lietuva Satellite multispectral images data is now a key source for spatially distributed land cover information, which is increasingly available in digital format for use in Geographic Information Systems (GIS). Remote sensing and GIS have become the most suitable technology of obtaining the required land cover data with high temporal and spatial accuracy. The land-tenures classes could be detected using satellite multispectral images from Landsat 5 and 7 satellites. Due to complicated meteorological conditions over Lithuanian territory the satellite multispectral images often are not of good quality. That influences the final quality of the land-tenure identification and mapping. Analysis of the most suitable period for the satellite multispectral images acquisition for the Lithuanian territory is presented. Article in Lithuanian Laikotarpio tinkamumo kartografuoti Žemės naudmenas pagal palydovines daugiaspektres nuotraukas analizė Santrauka. Straipsnyje analizuojama, kuriuo žemės paviršiaus distancinių tyrimų laikotarpiu tinkamiausia kartografuoti žemės naudmenas. Žemės naudmenoms kartografuoti taikomos LANDSAT 5 ir LANDSAT 7 palydovais gautos daugiaspektrės nuotraukos, o laikotarpiai parenkami pagal šių palydovų skridimo virš Lietuvos teritorijos grafikus. Dėl Lietuvos teritorijos klimatinių s ąlygų sudėtingumo daugiaspektrės nuotraukos dažnai gaunamos nepakankamai kokybiškos, o tai sumažina tikimybę turėti tinkamus duomenis analizei ir kartografavimui. Prasminiai žodžiai: nuotoliniai tyrimai, žemės naudmenos, skenavimo laikotarpis, palydovas LANDSAT, daugiaspektrė nuotrauka. https://btp.vgtu.lt/index.php/GAC/article/view/10953remote sensingLand Usescan periodmulti-spectrum photosatellite LANDSAT
collection DOAJ
language English
format Article
sources DOAJ
author Arūnas Bujauskas
Eimuntas Paršeliūnas
spellingShingle Arūnas Bujauskas
Eimuntas Paršeliūnas
Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
Geodesy and Cartography
remote sensing
Land Use
scan period
multi-spectrum photo
satellite LANDSAT
author_facet Arūnas Bujauskas
Eimuntas Paršeliūnas
author_sort Arūnas Bujauskas
title Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
title_short Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
title_full Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
title_fullStr Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
title_full_unstemmed Analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
title_sort analysis of the most suitable period for the mapping of the land-tenures from the satellite multispectral images
publisher Vilnius Gediminas Technical University
series Geodesy and Cartography
issn 2029-6991
2029-7009
publishDate 2012-08-01
description Satellite multispectral images data is now a key source for spatially distributed land cover information, which is increasingly available in digital format for use in Geographic Information Systems (GIS). Remote sensing and GIS have become the most suitable technology of obtaining the required land cover data with high temporal and spatial accuracy. The land-tenures classes could be detected using satellite multispectral images from Landsat 5 and 7 satellites. Due to complicated meteorological conditions over Lithuanian territory the satellite multispectral images often are not of good quality. That influences the final quality of the land-tenure identification and mapping. Analysis of the most suitable period for the satellite multispectral images acquisition for the Lithuanian territory is presented. Article in Lithuanian Laikotarpio tinkamumo kartografuoti Žemės naudmenas pagal palydovines daugiaspektres nuotraukas analizė Santrauka. Straipsnyje analizuojama, kuriuo žemės paviršiaus distancinių tyrimų laikotarpiu tinkamiausia kartografuoti žemės naudmenas. Žemės naudmenoms kartografuoti taikomos LANDSAT 5 ir LANDSAT 7 palydovais gautos daugiaspektrės nuotraukos, o laikotarpiai parenkami pagal šių palydovų skridimo virš Lietuvos teritorijos grafikus. Dėl Lietuvos teritorijos klimatinių s ąlygų sudėtingumo daugiaspektrės nuotraukos dažnai gaunamos nepakankamai kokybiškos, o tai sumažina tikimybę turėti tinkamus duomenis analizei ir kartografavimui. Prasminiai žodžiai: nuotoliniai tyrimai, žemės naudmenos, skenavimo laikotarpis, palydovas LANDSAT, daugiaspektrė nuotrauka.
topic remote sensing
Land Use
scan period
multi-spectrum photo
satellite LANDSAT
url https://btp.vgtu.lt/index.php/GAC/article/view/10953
work_keys_str_mv AT arunasbujauskas analysisofthemostsuitableperiodforthemappingofthelandtenuresfromthesatellitemultispectralimages
AT eimuntasparseliunas analysisofthemostsuitableperiodforthemappingofthelandtenuresfromthesatellitemultispectralimages
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