Modelling Urban Sprawl Using Remotely Sensed Data: A Case Study of Chennai City, Tamilnadu

• Main Authors: Padmanaban, Rajchandar, Bhowmik, Avit K., Cabral, Pedro, Zamyatin, Alexander, Almegdadi, Oraib, Wang, Shuangao
• Other Authors: School of Humanities and Social Sciences
• Format: Article
• Language: English
• Published: 2017
• Subjects: Random forest classification; Urban sprawl
• Online Access: https://hdl.handle.net/10356/84368; http://hdl.handle.net/10220/43587
• Institution: Nanyang Technological University

Urban sprawl (US), propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, adversely affects the provision of ecosystem services. The quantification of US is thus crucial for effective urban planning and en...