Rashid Hussain Computational Ecology and Software 2220-721X 2012 2 220-225 12/2012 International Academy of Ecology and Environmental Sciences Synthetic Aperture Radar (SAR) Fuzzy c-means (FCM) clustering algorithm satellite radar image remote sensing ecological monitoring Remote sensing applications such as Ecological monitoring, Disaster monitoring, Volcanic monitoring, surveillance and reconnaissance requires broad range imaginary data with very high resolution. Data captured under different times such as day or night and under different weather conditions poses adverse affects on retrieved results. Synthetic Aperture Radar (SAR) technology is used to mitigate such adverse effects. Recently SAR technology re-emerges because of the decrease in the cost of electronic components and tremendous advancement in computing power. This paper provides an application of Fuzzy c-means (FCM) clustering algorithm to SAR Images. The objective of this study is to segment various region of interest in remote sensing images for ecological monitoring. DOI 10.0000/issn-2220-721x-compuecol-2012-v2-0017 http://www.iaees.org/publications/journals/ces/articles/2012-2(4)/synthetic-aperture-radar-images-features-clustering.pdf