pp. 3829-3849
S&M3453 Research Paper of Special Issue https://doi.org/10.18494/SAM4627 Published: November 29, 2023 Land Cover Mapping of Bengaluru's Urban and Surrounding Area with Spatiotemporal Open-source Remote Sensing Data [PDF] Sylvain Grison, Rajath Siddaganga, Renu Singh, Shrihari Hegde, Axel Brockmann, Smitha Krishnan, and Wei Guo (Received August 28, 2023; Accepted November 20, 2023) Keywords: land cover, Bengaluru, open data, remote sensing, urban area
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.
Corresponding author: Wei GuoThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Sylvain Grison, Rajath Siddaganga, Renu Singh, Shrihari Hegde, Axel Brockmann, Smitha Krishnan, and Wei Guo, Land Cover Mapping of Bengaluru's Urban and Surrounding Area with Spatiotemporal Open-source Remote Sensing Data, Sens. Mater., Vol. 35, No. 11, 2023, p. 3829-3849. |