Mapping and Analysis of Land Cover in West Bank / Palestine using Landsat and Sentinel Multispectral Imagery

Abstract

going to be used to compare regional Land-Cover in the (West Bank, Palestine) within different periods along the years 1984 to 2017, within analytical framework that included consistent reference data using Maximum Likelihood Classification method. Multispectral Satellite imagery provided by Landsat and Sentinel has the spatial resolution of 30 - 10 m. Using a special remote sensing software like ENVI along with using the ArcGIS software and some image processing tools, the images of both Landsat and Sentinel were analyzed, processed, checked and classified and a comparison between these images were made. The land-cover changes in the West Bank, and how those changes affected the natural cover, the economy, the agriculture, the environment and others were evaluated and statistically studied. Then it was linked to an official local data from PCBS (Palestinian Central Bureau of Statistics) in order to propose strategies and recommendations to get over the obstacles produced from those changes. In this context, the primary objective of this study detected the changes regularly using Remote Sensing and GIS and provides an up-to-date information about the urban areas.