Improved land cover mapping using aerial photographs and satellite images
Abstract: Manual Land Cover Mapping using aerial photographs provides sufficient level of resolution for detailed vegetation or land cover maps. However, in some cases it is not possible to achieve the desired information over large areas, for example from historical data where the quality and amount of available images is definitely lower than from modern data. The use of automated and semiautomated methods offers the means to identify the vegetation cover using remotely sensed data. In this paper automated methods were tested on aerial photographs and satellite images to extract better and more reliable information about vegetation cover. These testswere performed by using automated analysis of LANDSAT7 images (with and without the surface model of the Shuttle Radar Topography Mission (SRTM)) and two temporally similar aerial photographs. The spectral bands were analyzed with supervised (maximum likelihood) methods. In conclusion, the SRTM and the combination of two temporally similar aerial photographs from earlier years were useful in separating the vegetation cover on a floodplain area. In addition the different date of the vegetation season also gave reliable information about the land cover. High quality information about old and present vegetation on a large area is an essential prerequisites ensuring the conservation of ecosystems
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Improved land cover mapping using aerial photographs and satellite images ; volume:7 ; number:1 ; year:2014 ; extent:12
Open Geosciences ; 7, Heft 1 (2014) (gesamt 12)
- Creator
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Varga, Katalin
Szabó, Szilárd
Szabó, Gergely
Dévai, György
Tóthmérész, Béla
- DOI
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10.1515/geo-2015-0002
- URN
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urn:nbn:de:101:1-2501051509319.457915061623
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Varga, Katalin
- Szabó, Szilárd
- Szabó, Gergely
- Dévai, György
- Tóthmérész, Béla
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MANHOLE COVER LOCALIZATION IN AERIAL IMAGES WITH A DEEP LEARNING APPROACH
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