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Assessment of Vegetation Cover of Bengaluru City, India, Using Geospatial Techniques

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Abstract

Bengaluru has a unique place due to its pleasant weather and green cover. Off late, the city has witnessed phenomenal urban growth, especially during last few decades. This study was envisaged to assess the decadal changes in vegetation cover of Bengaluru using multispectral IRS satellite imagery of 2006 and 2019 within Bruhat Bengaluru Mahanagara Palike (BBMP) area. Satellite datasets were analysed to assess changes in vegetation cover during the last decade. Vegetation (tree cover) within BBMP area was estimated to be 26.1% (18,572.2 ha) in 2019 as compared to 30.1% (21,414.9 ha) in 2006, indicating an overall reduction of 4%. Overall classification accuracy was estimated to be 92.1% for 2006 and 95.9% for 2019. Based on the analysis, a vegetation change map highlighting positive change areas, negative change areas and no change areas within vegetation categories  were prepared for 198 BBMP wards. A total of 730 GT sample points were also collected along with geo-tagged field photographs, which covered diverse niche areas with different vegetation components and density classes, as well as non-vegetated urban and other areas. Recommendations have been given to sustain and improve existing vegetation cover.

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(Source: Census of India)

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Acknowledgements

The authors express their gratitude to Dr. Santanu Chowdhury, Director, National Remote Sensing Centre (NRSC/ISRO) and Shri Uday Raj, Chief General Manager (Regional Centres), NRSC/ISRO for their valuable guidance and constant encouragement during this study. The authors are also grateful to all technical, administrative and support staff of RRSC-South/NRSC for their support during this study.

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The study was completed as an in-house research activity without any external funding.

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Correspondence to Shivam Trivedi.

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Raj, K.G., Trivedi, S., Ramesh, K.S. et al. Assessment of Vegetation Cover of Bengaluru City, India, Using Geospatial Techniques. J Indian Soc Remote Sens 49, 747–758 (2021). https://doi.org/10.1007/s12524-020-01259-5

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  • DOI: https://doi.org/10.1007/s12524-020-01259-5

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