Publication Type:

Journal Article

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

Abstract:

Dam is a barrier that impounds water by creating a reservoir. The water in the reservoir can be used for
human consumption, agriculture and also to produce hydroelectric power. Dams are affected by both nature and
mankind. This provokes the need to observe deforestation activity around the dam for preserving the forest
destruction. The Malampuzha Dam in Palakkad is facing such threats leading to its destruction. Lands at images
were used to learn the dam and surroundings. An alteration recognition analysis was used as a method to study the
disturbances in forest cover from 2004 to 2016. The resultant classified Lands at imagery indicates major changes in
forest 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 the
dam 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.