Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data

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dc.creatorGrison, Sylvain
dc.creatorSiddaganga, Rajath
dc.creatorSingh, Renu
dc.creatorHegde, Shrihari
dc.creatorBrockmann, Axel
dc.creatorKrishnan, Smitha
dc.creatorGuo, Wei
dc.date2023-11-29
dc.date2024-07-24T12:51:53Z
dc.date2024-07-24T12:51:53Z
dc.date.accessioned2026-06-27T13:22:33Z
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/149228
dc.identifier.urihttp://hdl.handle.net/123456789/57421
dc.languageen
dc.publisherMYU K.K.
dc.rightsOpen Access
dc.sourceGrison, 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
dc.subjectremote sensing
dc.subjectland cover
dc.subjecturban areas
dc.subjectopen data
dc.titleLand cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data
dc.typeJournal Article

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