Land Use Land Cover Change Detection using LANDSAT images: A Case Study

摘要

Land Use Land Cover change analysis has proven useful in studying the impact of an event on a region. Changes in a region due to urbanization, deforestation, or due to a disaster can be easily assessed using LULC change detection analysis. Remote Sensing, and Geographic Information System (GIS) tools have been used to study long and short-term biodiversity and LULC changes in an area. We present a case study on 2013 flash floods of Uttarakhand that uses multi-spectral Landsat satellite images to analyze the Spatio-temporal changes in the LULC of the region. Landsat 7 and 8 images are used to classify using the Maximal Likelihood Algorithm which is further improved by NDVI. The region is categorized into 5 major classes; mountain, settlement, vegetation, water, and glacier with accuracy more than 92%. The LULC maps are analyzed to reveal significant changes in the region after the disaster.