Urban sprawl impact assessment on the land surface temperature over the green capital of Gujarat using a geospatial approach

Author:

Kalyan Sandeep,Pathak Bhawana

Funder

University Grants Commission

Publisher

Springer Science and Business Media LLC

Reference111 articles.

1. Abd El Aal, A. K., Kamel, M., & Alyami, S. H. (2020). Environmental analysis of land use and land change of Najran city: GIS and remote sensing. Arabian Journal for Science and Engineering, 45, 8803–8816.

2. Ahmad, A., & Quegan, S. (2012). Analysis of maximum likelihood classification on multispectral data. Applied Mathematical Sciences, 6(129), 6425–6436.

3. Al-Doski, J., Mansorl, S. B., & Shafri, H. Z. M. (2013). Image classification in remote sensing. Department of Civil Engineering, Faculty of Engineering, University Putra, Malaysia, 3(10).

4. Anderson, J. R. (1976). A land use and land cover classification system for use with remote sensor data (Vol. 964). US Government Printing Office.

5. Arbuthnott, K. G., & Hajat, S. (2017). The health effects of hotter summers and heat waves in the population of the United Kingdom: A review of the evidence. Environmental Health, 16, 1–13.

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