Open AccessA Geo-spatial Classification Time Series Change Detection Using Remote Sensing Images of Seshachalam Region
Author(s) -
R. S. Reddy,
Anjan Babu G,
A. Rama Mohan Reddy
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206443
Subject(s) - time series , focus (optics) , urbanization , remote sensing , series (stratigraphy) , computer science , change detection , cover (algebra) , bar chart , variable (mathematics) , graph , geography , geology , mathematics , statistics , machine learning , ecology , engineering , mechanical engineering , paleontology , mathematical analysis , physics , optics , biology , theoretical computer science
Time series is a scientific process of determining an ordered sequence of values of a variable within equally spaced time intervals. Mostly this is applied when looking at technical data and its influences on the neighboring surroundings. This type of scientific analysis that can be applied twofold. Firstly, it can be used to obtain a knowledge of the triggering forces and structure that produced the observed data. Additionally, it can be used to fit a model and to predict, monitor the area of interest.This scientific form of analysis can be applied in various sectors so long as the data can be measured over time. The following are some of the applications: Economic and sales forecasting, Crop Yield prediction, Forest cover changes, urbanization, among many other uses. In this analysis, we will focus on time series change detection using image differencing of a classified image and representing the outcome area in a bar graph. The area of study is Seshachalam Hills, Tirupathi an ecological zone in Andhra Pradesh, India.