Assessment of Natural Resources in Part of Lucknow, District Uttar Pradesh using Unsupervised Classification

Abstract

Abstract The application of digital image processing enables us to extract information about land use and land cover pattern, water quality, forest cover in an area with remarkable accuracy which can be established by ground truthing and Survey of India topographic maps. The main objectives of this project were to gain knowledge of remote sensing and digital image processing and its potential applications, acquire information about Indian Remote Sensing Satellites, seek to understand the difference between human interpretation and digital image processing, to prepare a satellite image of Lucknow using geospatial authoring software, ERDAS imagine. For this purpose a satellite image of Lucknow was procured and segregated it into different bands inorder to prepare spectral, spatial and surface profile of water, land, vegetation and wasteland. This image was then radiometrically enhanced by haze and noise reduction techniques. The various natural resources in the area were then broadly classified into water body, vegetation, settlement and waste land using unsupervised classification.