Study of IRS 1C-LISS III Image and Identification of land cover features based on Spectral Responses

 Abstract— Satellite Remote sensing with repetitive and pan viewing and multispectral capabilities, is a powerful tool for mapping and monitoring the ecological changes. Analysis of the remote sensing data is faced with a number of challenges ranging from type of sensors, number of sensors, spectral responses of satellite sensors, resolutions in different domains and qualitative and quantitative interpretation. Any analysis of satellite imagery directly depends on the uniqueness of above features. The multispectral image from IRS LISS-III sensor has been used as the primary data to produce land cover classification. This paper reports on the study of LISS III image, with emphasis on spectral responses of satellite sensors. The aim of the study was to know all the relative details of the data as the primary requirement for any study. Indian Remote Sensing IC Linear Integrated self-scanning (IRS IC-LISS III) imagery data set specifications and its use for land cover classification were also discussed. This study can be used as a primary literature for analysis of IRS LISS III Image.