Abstract
This study intends to show the application of some techniques to observe vegetation cover change of an area. Monitoring vegetation cover change is necessary to identify the trend of loss or increase of the same. To fulfill the objective, LISS III images of alternate years have been used from 1997 to 2013. We have tried to identify the change by using synthetic color composite, normalized difference vegetation index (NDVI) index comparison, and vegetation cover mapping using vectorization process. The fundamental idea of synthetic color composite lies in the concept of color mixing. Artificial discreet colors have been assigned for the vegetation cover of different years, after applying NDVI model on those. The study includes a changing trend analysis using least square regression method. The vegetation cover of the area has also been vectorized to get the rate of change. The work concludes with more or less positive result, though there are some limitations. The techniques used are suitable for data of almost similar spatial resolution for the similar seasons. Change of vegetation cover as a whole can only be interpreted clearly with these methods.
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Seikh, A.S., Halder, A., Mukhopadhyay, S. (2017). Change Detection of Vegetation Cover Using Synthetic Color Composite with Some Other Techniques. In: Hazra, S., Mukhopadhyay, A., Ghosh, A., Mitra, D., Dadhwal, V. (eds) Environment and Earth Observation. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-319-46010-9_8
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DOI: https://doi.org/10.1007/978-3-319-46010-9_8
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