Int. J. Adv. Res. Biol. Sci. (2016). 3(10): 151-170 International Journal of Advanced Research in Biological Sciences ISSN: 2348-8069 www.ijarbs.com DOI: 10.22192/ijarbs Coden: IJARQG(USA) Volume 3, Issue 10 - 2016 Research Article DOI: http://dx.doi.org/10.22192/ijarbs.2016.03.10.022 Monitoring vegetation change detection of Mayurbhanj district, Odisha by using Geoinformatics R. Dash1, M. K. Swain1, M. Routray2, B.K.Samal2, D. Nandi1, I.Mohanta1, S.S.Patra3 and S. Rout3 1Department of Remote Sensing & GIS, North Orissa University, Takatpur, Baripada, Mayurbhanj, Odisha- 757003 2National Informatics Center (NIC), Bhubaneswar, Odisha-751001 3School of Forestry & Environment, Sam Higginbottom Institute of Agriculture Technology & Sciences, Allahabad, Uttar Pradesh-211007 *Corresponding author:
[email protected] Abstract The study was conducted to detect vegetation changes using Gioinformatics in Mayurbhanj district, Odisha. It was conducted using Landsat 5 TM, and Landsat 7 ETM, images. For the vegetation change ERDAS Imagine 9.2 was used. for raw images and Arc GIS 10.1 for creating new feature for mapping was used. The result showed that during the year 2009-2014, there was an increase in vegetation cover in dense forest (13%). Over all, there was an increase in the dense forest vegetation cover of Mayurbhanj district of Odisha. Key words: Dense forest, Geoinformatics, Monitoring, Vegetation. Introduction Vegetation coverage change is a very important Forest and land cover change detection are one of the indication of the ecological environment change. major applications of satellite-based remote sensing. Vegetation change, which can be readily detected and Satellite images from different dates for a particular mapped by satellite remote sensing data (Xiao et al., geographic area are analyzed for changes in spectral 2004).