An Application for Forest Area Change Detection and Classification

Land use is forced by environmental factors such as soil characteristics, climate, topography, and vegetation. Image processing helps to identify the type of land, by displaying particular image of that area and that image will be helpful to classify the land in the form of percentage. Existing methodologies do the change detection procedure by detecting the objects in image and that objects are compared with the base image objects to obtain a difference image. This paper a proposed system is used to develop a suitable method related to land areas for finding changes in land areas that undergoes changes over a period of time. In proposed method to get a clear image pre-processing is done. In pre-processing, the methods namely denoising, resizing and control point selection is done. Image segmentation and image classification is done on the image to get the final percentage change in forest land. Citation: Priya kale, Anantrao Pawar College of engineering,Parvati,Pune; Ruksar Kalyani ,Anantrao Pawar College of engineering,Parvati,Pune; Pratik Kale ,Anantrao Pawar College of engineering,Parvati,Pune; Dhanashri Joshi ,Anantrao Pawar College of engineering,Parvati,Pune. "An Application for Forest Area Change Detection and Classification." Global Research and Development Journal For Engineering 26 2017: 214 - 220.