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Crop yield is essential for those countries that are based on agriculture production, which is the main source of economy. In the forecast of experts and decision makers about potential decrease in crop yields, this study was carried out with work approach and the techniques of Remote Sensing (RS) based crop discrimination and area estimation. With single date approach based on maximum likelihood classification algorithm, The Landsat imagery data used for assessment of Rabi crop (Rice), from past two decades. The research work has been focused on mapping and assessment of Rabi Crop (Rice) to identify the state of crop and its impact on socio economic environment of District Dadu. From our research it has been revealed that significant reduction was continuously monitored from 2009 to 2010 in rice crop and remote sensing results were counter-check with revenue record for authentication of RS results. This research work will be supportive for policy makers to build up complete precise, perfect and dynamic plans for administration of Dadu District crop and develop the future socio-economic environment.