Fusion of Knowledge Management for Sustainable Development of GIS & Remote Sensing

Ved Kumar Mishra, Satya Prakash, Satyam Kumar Singh, Prashant Ankur Jain, Naveen Dwivedi, Shubha Dwivedi, Vivek Singh Pundir, Ashwani Kumar Singh

Abstract


The knowledge management system included a customized user interface for data. A geographic information system enables us to view, analyze and understand multiple geographically referenced data. It provides us with location based information on like-vegetation, roads, villages, town, cities, or water supplies. GIS is often used for explaining events, predicting outcomes, and planning strategies. Remote sensing is the measurement of the earth using sensors on airplanes or satellites this provide a repetitive consistent view of earth, facilitating the ability to monitor the earth system and the effect of human activities on earth. Remote sensed imagery is integrated within a GIS environment. The combination of the two gives us extensive geographical knowledge. We can apply this knowledge to the way we design and develop the project. An excellent tool that is increasingly important in the detection, description, quantification and monitoring environmental changes is Remote Sensing, which, in combination with geographic information systems and fieldwork, is an effective management tool. In this paper, fusion of knowledge management for sustainable development of GIS and remote sensing for land management is reviewed, and the potential of new satellite systems to contribute to sustainable development is explored. Other elements for successful sustainable development are then compared and contrasted with information requirements.


Keywords


Remote Sensing; Data Base Technology; Image Processing; Geographic Information System; Modeling

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*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)