Development of classification system for LULC using remote sensing and GIS
Eman A. Alshari, Bharti W. Gawali
Abstract
This article demonstrations the techniques for land classification and development stages that began in 1950 and till now. It highlights the findings of the research efforts from 220 studies that worked in this domain. The land classification was manual till classification processes evolved into numerical and digital with the emergence of technology and the revolution in Artificial Intelligence algorithms. It included an inventory of all the methods traditional and recent used in land classification. Most land use and land cover classification classifiers have been comparing to determine the best classifiers and the characteristics of each to determine points that will help develop classification accuracy. This article will be significant for the upcoming researchers to understand the land classification and various techniques. It will help determine the efficient classifier and motivates to development of new classifiers.