Publication Type : Journal Article
Publisher : Journal of Advanced Research in Dynamical Control Systems
Source : Journal of Advanced Research in Dynamical & Control Systems, Volume 13, Issue Special Issue, p.828 – 833 (2017)
Url : http://jardcs.org/papers/v9/sp/20181060.pdf
Keywords : GIS, Lands at Data, Remote sensing, reservoir, SVM
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN)
Verified : Yes
Year : 2017
Abstract : Dam is a barrier that impounds water by creating a reservoir. The water in the reservoir can be used forhuman consumption, agriculture and also to produce hydroelectric power. Dams are affected by both nature andmankind. This provokes the need to observe deforestation activity around the dam for preserving the forestdestruction. The Malampuzha Dam in Palakkad is facing such threats leading to its destruction. Lands at imageswere used to learn the dam and surroundings. An alteration recognition analysis was used as a method to study thedisturbances in forest cover from 2004 to 2016. The resultant classified Lands at imagery indicates major changes inforest wrap. Numerical study shows the affected areas in barren land, crop land and settlements over the time period.This study applies Support Vector Machine (SVM) and it will give the detail about the spatial dynamics around thedam so that the disaster mitigation measures can be taken before if there is a threat to environment
Cite this Research Publication : R. Mamtha, Dr. Geetha Srikanth, and Soman, K. P., “Spatio-Temporal Change Detection in Dam Surroundings-a Case Study of Malampuzha Dam, Palakkad”, Journal of Advanced Research in Dynamical & Control Systems, vol. 13, no. Special Issue, pp. 828 – 833, 2017.