Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data
The rapid urbanization observed in Asian tropics has resulted in extensive landscape transformations, giving rise to novel challenges such as conflicts of interest among citizens and threats to biodiversity. To facilitate informed urban management policies, there is a pressing need for contemporary...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MYU K.K.
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/149228 |
| _version_ | 1855516161516503040 |
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| author | Grison, Sylvain Siddaganga, Rajath Singh, Renu Hegde, Shrihari Brockmann, Axel Krishnan, Smitha Guo, Wei |
| author_browse | Brockmann, Axel Grison, Sylvain Guo, Wei Hegde, Shrihari Krishnan, Smitha Siddaganga, Rajath Singh, Renu |
| author_facet | Grison, Sylvain Siddaganga, Rajath Singh, Renu Hegde, Shrihari Brockmann, Axel Krishnan, Smitha Guo, Wei |
| author_sort | Grison, Sylvain |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The rapid urbanization observed in Asian tropics has resulted in extensive landscape transformations, giving rise to novel challenges such as conflicts of interest among citizens and threats to biodiversity. To facilitate informed urban management policies, there is a pressing need for contemporary land use and cover maps that provide precise insights into the evolving landscape. In this paper, we present the city of Bengaluru, India (covering an area of 365,879 ha) as a case study. We introduce an open-source-driven pipeline method capable of generating an updated 11-class land cover map at a high resolution of 10 m, achieving a global F1 score of 0.82. Notably, our proposed pipeline represents a pioneering solution that effectively addresses the persistent issue of cloud cover caused by monsoons, enhancing the utility of such maps for urban management, and planning in rapidly evolving regions. |
| format | Journal Article |
| id | CGSpace149228 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MYU K.K. |
| publisherStr | MYU K.K. |
| record_format | dspace |
| spelling | CGSpace1492282025-12-08T10:11:39Z Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data Grison, Sylvain Siddaganga, Rajath Singh, Renu Hegde, Shrihari Brockmann, Axel Krishnan, Smitha Guo, Wei remote sensing land cover urban areas open data The rapid urbanization observed in Asian tropics has resulted in extensive landscape transformations, giving rise to novel challenges such as conflicts of interest among citizens and threats to biodiversity. To facilitate informed urban management policies, there is a pressing need for contemporary land use and cover maps that provide precise insights into the evolving landscape. In this paper, we present the city of Bengaluru, India (covering an area of 365,879 ha) as a case study. We introduce an open-source-driven pipeline method capable of generating an updated 11-class land cover map at a high resolution of 10 m, achieving a global F1 score of 0.82. Notably, our proposed pipeline represents a pioneering solution that effectively addresses the persistent issue of cloud cover caused by monsoons, enhancing the utility of such maps for urban management, and planning in rapidly evolving regions. 2023-11-29 2024-07-24T12:51:53Z 2024-07-24T12:51:53Z Journal Article https://hdl.handle.net/10568/149228 en Open Access application/pdf MYU K.K. Grison, S.; Siddaganga, R.; Singh, R.; Hegde, S.; Brockmann, A.; Krishnan, S.; Guo, W. (2023) Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data. Sensors and Materials 35(11) p. 3829–3849. ISSN: 0914-4935 |
| spellingShingle | remote sensing land cover urban areas open data Grison, Sylvain Siddaganga, Rajath Singh, Renu Hegde, Shrihari Brockmann, Axel Krishnan, Smitha Guo, Wei Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data |
| title | Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data |
| title_full | Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data |
| title_fullStr | Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data |
| title_full_unstemmed | Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data |
| title_short | Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data |
| title_sort | land cover mapping of bengaluru s urban and surrounding area with spatiotemporal open source remote sensing data |
| topic | remote sensing land cover urban areas open data |
| url | https://hdl.handle.net/10568/149228 |
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