Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier
The large-scale pixel-based land use/land cover classification is a challenging task, which depends on many circumstances. This study aims to create LULC maps with the nomenclature of Coordination of Information on the Environment (CORINE) Land Cover (CLC) for years when the CLC databases are not av...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Novi Sad, Department of Geography, Tourism and Hotel Management
2022-01-01
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| Series: | Geographica Pannonica |
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| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203165G.pdf |
| _version_ | 1797989387028398080 |
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| author | Gudmann András Mucsi László |
| author_facet | Gudmann András Mucsi László |
| author_sort | Gudmann András |
| collection | DOAJ |
| description | The large-scale pixel-based land use/land cover classification is a challenging task, which depends on many circumstances. This study aims to create LULC maps with the nomenclature of Coordination of Information on the Environment (CORINE) Land Cover (CLC) for years when the CLC databases are not available. Furthermore, testing the predicted maps for land use changes in the last 30 years in Hungary. Histogram-based gradient boosting classification tree (HGBCT) classifier was tested at classification. According to the results, the classifier, with the use of texture variance and landscape metrics is capable to generate accurate predicted maps, and the comparison of the predicted maps provides a detailed image of the land use changes. |
| first_indexed | 2024-04-11T08:18:28Z |
| format | Article |
| id | doaj.art-b2c3d03b3b2b4977aff194a7884cb8b2 |
| institution | Directory Open Access Journal |
| issn | 0354-8724 1820-7138 |
| language | English |
| last_indexed | 2024-04-11T08:18:28Z |
| publishDate | 2022-01-01 |
| publisher | University of Novi Sad, Department of Geography, Tourism and Hotel Management |
| record_format | Article |
| series | Geographica Pannonica |
| spelling | doaj.art-b2c3d03b3b2b4977aff194a7884cb8b22022-12-22T04:35:03ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel ManagementGeographica Pannonica0354-87241820-71382022-01-0126316517510.5937/gp26-377200354-87242203165GPixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifierGudmann András0Mucsi László1University of Szeged, Department of Geoinformatics, Physical and Environmental Geography, Szeged, HungaryUniversity of Szeged, Department of Geoinformatics, Physical and Environmental Geography, Szeged, HungaryThe large-scale pixel-based land use/land cover classification is a challenging task, which depends on many circumstances. This study aims to create LULC maps with the nomenclature of Coordination of Information on the Environment (CORINE) Land Cover (CLC) for years when the CLC databases are not available. Furthermore, testing the predicted maps for land use changes in the last 30 years in Hungary. Histogram-based gradient boosting classification tree (HGBCT) classifier was tested at classification. According to the results, the classifier, with the use of texture variance and landscape metrics is capable to generate accurate predicted maps, and the comparison of the predicted maps provides a detailed image of the land use changes.https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203165G.pdfland useland coverimage classificationchange detectiongradient boosting |
| spellingShingle | Gudmann András Mucsi László Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier Geographica Pannonica land use land cover image classification change detection gradient boosting |
| title | Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier |
| title_full | Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier |
| title_fullStr | Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier |
| title_full_unstemmed | Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier |
| title_short | Pixel and object-based land cover mapping and change detection from 1986 to 2020 for Hungary using histogram-based gradient boosting classification tree classifier |
| title_sort | pixel and object based land cover mapping and change detection from 1986 to 2020 for hungary using histogram based gradient boosting classification tree classifier |
| topic | land use land cover image classification change detection gradient boosting |
| url | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2022/0354-87242203165G.pdf |
| work_keys_str_mv | AT gudmannandras pixelandobjectbasedlandcovermappingandchangedetectionfrom1986to2020forhungaryusinghistogrambasedgradientboostingclassificationtreeclassifier AT mucsilaszlo pixelandobjectbasedlandcovermappingandchangedetectionfrom1986to2020forhungaryusinghistogrambasedgradientboostingclassificationtreeclassifier |