Mapping and Prediction of Urban Growth using Remote Sensing, Geographic Information System, and Statistical Techniques for Tiruppur Region, Tamil Nadu, India

Author:

Elangovan K.,Krishnaraaju G.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Reference39 articles.

1. Abebe, G. A. (2013). Thesis: Quantifying urban growth pattern in developing countries using remote sensing and spatial metrics: A case study in Kampala , Uganda. University of Twente.

2. Abedini, A., Khalili, A., & Asadi, N. (2020). Urban sprawl evaluation using landscape metrics and black-and-white hypothesis (case study: Urmia City). Journal of the Indian Society of Remote Sensing, 48(7), 1021–1034. https://doi.org/10.1007/s12524-020-01132-5

3. Alsharif, A. A. A., Pradhan, B., Mansor, S., & Shafri, H. Z. M. (2015). Urban expansion assessment by using remotely sensed data and the relative Shannon entropy model in GIS: A case study of Tripoli, Libya. Theoretical and Empirical Researches in Urban Management, 10(1), 55–71.

4. Al-Zuhairy, M. S., Hassan, A. A., & Schnewer, F. M. (2017). GIS-based frequency ratio model for mapping the potential zoning of groundwater in the western desert of Iraq. International Journal of Scientific & Engineering Research, 8(7), 52–65. http://www.ijser.org

5. Arumugam, K., & Elangovan, K. (2009). Hydrochemical characteristics and groundwater quality assessment in Tirupur Region, Coimbatore District, Tamil Nadu, India. Environmental Geology, 58, 1509–1520. https://doi.org/10.1007/s00254-008-1652-y

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