Analysis for Mapping of Built-Up Area Using Remotely Sensed Indices – A Case Study of Rajarhat Block in Barasat Sadar Sub-Division in West Bengal (India)

Author:

Ghosh Debashish Kumar1,Mandal Anukul Ch1,Majumder Raja12,Patra Poly1,Bhunia Gouri Sankar1

Affiliation:

1. Department of Geography , Seacom Skills University , Kendradangal, Santiniketan , Birbhum - 731236 , West Bengal

2. Dinabandhu Mahavidyalaya , Bongaon , North 24 Parganas, West Bengal

Abstract

Abstract Present study investigated mapping and monitoring urban land areas from Landsat8 satellite data using remotely sensed indices. The normalized difference built-up index (NDBI), Enhanced Built-Up and Bareness Index (EBBI), Index-based built-up index (IBI), urban index (UI), normalized difference bareness index (NDBaI) were used to extract the built-up area. The NDBI was more effective at discriminating built-up areas and at increasing accuracy (overall accuracy of 76.45 % and kappa accuracy of 57 %) of the built-up density percentage than other remotely sensed indices. Evidence on built-up area change geographically would permit urban planner and decision makers to comprehend and appraise urban growth pattern in regards to land cover dynamics.

Publisher

Walter de Gruyter GmbH

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology

Reference23 articles.

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