CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS
The Walloon region of Belgium has launched a research project that aims at elaborating a methodology for automated, high-quality land cover mapping, based primarily on its yearly 0.25m orthophoto coverage. Whereas in urban areas an object-based (OBIA) approach has been the privileged path in the las...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/151/2019/isprs-archives-XLII-4-W14-151-2019.pdf |
| _version_ | 1818822024412266496 |
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| author | M. Lennert T. Grippa J. Radoux C. Bassine B. Beaumont P. Defourny E. Wolff |
| author_facet | M. Lennert T. Grippa J. Radoux C. Bassine B. Beaumont P. Defourny E. Wolff |
| author_sort | M. Lennert |
| collection | DOAJ |
| description | The Walloon region of Belgium has launched a research project that aims at elaborating a methodology for automated, high-quality land cover mapping, based primarily on its yearly 0.25m orthophoto coverage. Whereas in urban areas an object-based (OBIA) approach has been the privileged path in the last years as it allows taking into account shape information relevant for the characterization of man-made constructions, such an approach has its limits in the rural and more natural areas due to increased difficulties for segmentation and less sharp boundaries, thus calling for a pixel-based approach. The project thus consists in developing a combination of methods, and to integrate their results through an ensemble fusion approach. As many of the more natural land cover classes have temporal profiles which cannot be detected in a one-date orthoimage, Sentinel 1 and 2 data are also included in order to take advantage of their higher spectral and temporal resolution. All methods are trained using existing regional databases. In a second step, we combine the different LC classification results by fusioning them into one high-accuracy (over 90% OA) product, using a series of different approaches ranging from rule-based to machine learning to the Dempster-Shafer method. The entire toolchain is based on free and open source software, mainly GRASS GIS and Orfeo ToolBox. Results indicate the importance of the quality of the individual classifications for the fusion results and justify the choice of combining OBIA and pixel-based approaches in order to avoid the pitfalls of each. |
| first_indexed | 2024-12-18T23:17:30Z |
| format | Article |
| id | doaj.art-deb4b28dcd1a43fca05204954609ceac |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-18T23:17:30Z |
| publishDate | 2019-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-deb4b28dcd1a43fca05204954609ceac2022-12-21T20:48:07ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-08-01XLII-4-W1415115710.5194/isprs-archives-XLII-4-W14-151-2019CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTSM. Lennert0T. Grippa1J. Radoux2C. Bassine3B. Beaumont4P. Defourny5E. Wolff6ANAGEO-DGES, Université Libre de Bruxelles, BelgiumANAGEO-DGES, Université Libre de Bruxelles, BelgiumEarth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, BelgiumEarth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, BelgiumRemote Sensing and Geodata Unit, Institut Scientifique de Service Public, Liège, BelgiumEarth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, BelgiumANAGEO-DGES, Université Libre de Bruxelles, BelgiumThe Walloon region of Belgium has launched a research project that aims at elaborating a methodology for automated, high-quality land cover mapping, based primarily on its yearly 0.25m orthophoto coverage. Whereas in urban areas an object-based (OBIA) approach has been the privileged path in the last years as it allows taking into account shape information relevant for the characterization of man-made constructions, such an approach has its limits in the rural and more natural areas due to increased difficulties for segmentation and less sharp boundaries, thus calling for a pixel-based approach. The project thus consists in developing a combination of methods, and to integrate their results through an ensemble fusion approach. As many of the more natural land cover classes have temporal profiles which cannot be detected in a one-date orthoimage, Sentinel 1 and 2 data are also included in order to take advantage of their higher spectral and temporal resolution. All methods are trained using existing regional databases. In a second step, we combine the different LC classification results by fusioning them into one high-accuracy (over 90% OA) product, using a series of different approaches ranging from rule-based to machine learning to the Dempster-Shafer method. The entire toolchain is based on free and open source software, mainly GRASS GIS and Orfeo ToolBox. Results indicate the importance of the quality of the individual classifications for the fusion results and justify the choice of combining OBIA and pixel-based approaches in order to avoid the pitfalls of each.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/151/2019/isprs-archives-XLII-4-W14-151-2019.pdf |
| spellingShingle | M. Lennert T. Grippa J. Radoux C. Bassine B. Beaumont P. Defourny E. Wolff CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS |
| title_full | CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS |
| title_fullStr | CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS |
| title_full_unstemmed | CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS |
| title_short | CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS |
| title_sort | creating wallonia s new very high resolution land cover maps combining grass gis obia and otb pixel based results |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/151/2019/isprs-archives-XLII-4-W14-151-2019.pdf |
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