Many applications that target water resource management requires detection, monitoring and assessment of water for quantity and quality on regular basis. The advancement in remote sensing have led in new era in the detection of surface water with its changing dynamics. We processed cloud free images for year 2016 acquired by Landsat 8 OLI (Path : 147, Row: 47) as available from from http://earthexplorere.usgs.gov. The processing includes calculation of Top of Atmospheric reflectance (ToA) and derived Modified Normalized Differential Water Index (MNDWI) images. We have generated in-land surface water maps for all months excluding rainy seasons for the Pune district in India. The derived water maps were compared with a reference surface water map, Global Surface Water Explorer (GSWE), prepared by The European Commission’s Joint Research Centre in the framework of the Copernicus Programme. The kappa coefficient between derived maps and GSWE image were found to be in the range of 0.52 to 0.96 with an average agreement of 0.82 indicating strong level of agreement.