Data Analytics for Land Use and Land Cover Problems: A Survey

Abstract

This surveys Land Cover/Land use platforms along with the big data analytics and assesses the advantages and drawbacks of based on every platforms of scalability, data I/O rate, fault tolerance, real time processing, data size data size and iterative task supported. The earth surface is rapidly changing every day due to certain natural reasons and other impacts by society. Over few decades the remote sensing and GIS (Geographic Information System) are the hottest topic for evolving the environments from the earth. The enlargement of several world wide modifications related to the nature of earth, LULC changes are considered as the matter of utmost importance in the natural atmosphere and it has became the interesting area to be studied by researcher on various process like pre-processing, classification and prediction. the flow of LULC change analysis process, the challenges faced during each process by the researchers are discussed. The main objective of this paper is to provide an in depth analysis of different platforms available for performing data analytics in Land Use/ Land Cover.