Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data
The size of urban settlements is rapidly increasing worldwide. This sprawl triggers changes in land cover with the consumption of natural areas and affects ecosystems with important ecological, climate, and social transformations. Detecting, mapping, and monitoring the growth and spread of urban are...
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Unité Mixte de Recherche 8504 Géographie-cités
2024-12-01
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| Series: | Cybergeo |
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| Online Access: | https://journals.openedition.org/cybergeo/41436 |
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| author | Romain Wenger David Michéa Anne Puissant |
| author_facet | Romain Wenger David Michéa Anne Puissant |
| author_sort | Romain Wenger |
| collection | DOAJ |
| description | The size of urban settlements is rapidly increasing worldwide. This sprawl triggers changes in land cover with the consumption of natural areas and affects ecosystems with important ecological, climate, and social transformations. Detecting, mapping, and monitoring the growth and spread of urban areas is therefore important for urban planning, risk analysis, human health, and biodiversity conservation. Satellite images have long been used to map human settlements. The availability of the Sentinel constellation (S2) allows the monitoring of urban sprawl over large areas (e.g., countries) and at high frequency (with possible monthly updates). This massive data stream allows the proposal of new types of urban products at a spatial resolution of 10 meters. In this context, we developed a fully automated and supervised processing chain (URBA-OPT) using open-source libraries and optimized for rapid calculation on high-performance computing clusters. This processing chain has been applied to all of France. The objective is to propose an annual product at 10 m spatial resolution available through the THEIA Data and Services Centre. Our results demonstrate the feasibility and accuracy of producing an annual urban settlement map using this methodology, providing a valuable tool for urban planning and environmental monitoring. |
| format | Article |
| id | doaj-art-7b9046d8ac234ab294fefcf41bc3f61c |
| institution | OA Journals |
| issn | 1278-3366 |
| language | deu |
| publishDate | 2024-12-01 |
| publisher | Unité Mixte de Recherche 8504 Géographie-cités |
| record_format | Article |
| series | Cybergeo |
| spelling | doaj-art-7b9046d8ac234ab294fefcf41bc3f61c2025-08-20T02:26:09ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662024-12-0110.4000/12vzaTowards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 dataRomain WengerDavid MichéaAnne PuissantThe size of urban settlements is rapidly increasing worldwide. This sprawl triggers changes in land cover with the consumption of natural areas and affects ecosystems with important ecological, climate, and social transformations. Detecting, mapping, and monitoring the growth and spread of urban areas is therefore important for urban planning, risk analysis, human health, and biodiversity conservation. Satellite images have long been used to map human settlements. The availability of the Sentinel constellation (S2) allows the monitoring of urban sprawl over large areas (e.g., countries) and at high frequency (with possible monthly updates). This massive data stream allows the proposal of new types of urban products at a spatial resolution of 10 meters. In this context, we developed a fully automated and supervised processing chain (URBA-OPT) using open-source libraries and optimized for rapid calculation on high-performance computing clusters. This processing chain has been applied to all of France. The objective is to propose an annual product at 10 m spatial resolution available through the THEIA Data and Services Centre. Our results demonstrate the feasibility and accuracy of producing an annual urban settlement map using this methodology, providing a valuable tool for urban planning and environmental monitoring.https://journals.openedition.org/cybergeo/41436remote sensingurban settlementSentinel-2machine learningobject-oriented classification |
| spellingShingle | Romain Wenger David Michéa Anne Puissant Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data Cybergeo remote sensing urban settlement Sentinel-2 machine learning object-oriented classification |
| title | Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data |
| title_full | Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data |
| title_fullStr | Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data |
| title_full_unstemmed | Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data |
| title_short | Towards an annual urban settlement map in France at 10 m spatial resolution using a method for massive streams of Sentinel-2 data |
| title_sort | towards an annual urban settlement map in france at 10 m spatial resolution using a method for massive streams of sentinel 2 data |
| topic | remote sensing urban settlement Sentinel-2 machine learning object-oriented classification |
| url | https://journals.openedition.org/cybergeo/41436 |
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