1. Mapping of built-up area and change detection in bengaluru using semi-automatic classification.
- Author
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Pradhan, Arpan, Uppaluri, Sirisha, Sankalp, Sovan, Mani, Shibu K., and Sahoo, Kirtikanta
- Subjects
LAND use mapping ,CITY dwellers ,LAND cover ,REMOTE-sensing images ,CITIES & towns ,BODIES of water - Abstract
Built-up areas are ever-increasing in nature to cater to the growing population's needs due to the migration of people to urban areas. Indian cities are under stress due to unplanned developmental activities. Land use and the land cover pattern are critical to maintaining the balance of various resources. In this study, Spatio-temporal changes have been mapped from 1989 to 2022 for the Bengaluru urban region. Geospatial techniques have been adopted to map land use, land cover changes and urban growth. Passive remote sensing data sets, which are freely available, were used in this study. QGIS and ESRI's ArcGIS software packages analysed the satellite images. Vegetation indices such as the Normalised vegetation index (NDVI), Normalised Difference Water index (NDWI), and Normalised difference Built-up index (NDBI) have been used along with supervised and unsupervised classification techniques. Images were classified into water bodies, vegetation, built-up area and others. It has been observed that there is an increase in the built-up area decrease in vegetation and water bodies. As per this study, policymakers and society need to consider the conservation of natural resources and developmental activities for sustainable development. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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