Assessment of land use and land cover change detection and prediction using deep learning techniques for the southwestern coastal region, Goa, India

Author:

Naik Nitesh,Chandrasekaran Kandasamy,Meenakshi Sundaram Venkatesan,Panneer Prabhavathy

Publisher

Springer Science and Business Media LLC

Reference101 articles.

1. Abdi, A. M. (2020). Land cover and land use classification performance of machine learning algorithms in a boreal landscape using sentinel-2 data. GIScience & Remote Sensing, 57(1), 1–20.

2. Ahmed, S.A., Shankar, B., et al. (2011). Planning for conservation of heritage areas in old Goa: Issues and strategies. IDES_CPS, Civil Engineering Series-Advances in Civil Engineering ACE, Ed., pp. 11–15.

3. Albert, A., Kaur, J., Gonzalez, M.C. (2017). Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 1357–1366).

4. Al-Usmani, S. M. P. (2011). Impact of mining activities on land and water areas of Goa. Journal of Coastal Environment, 2(1), 43–54.

5. Ansari, Z., Achuthankutty, C., & Dalal, S. (2006). Overexploitation of fishry resources, with particular reference to Goa. India: TERI Press.

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