Abstract   In this paper, we have designed and developed a tec hnique for burning area identification using Intensity Hue Saturation (IHS) transformation and image segmentat ion. The process of identifying the burnt area in proposed technique consists of four steps such as: IHS transformation, object segmentation, identification of smoke area using Feed-Forward Neural Network (FFNN) and discovering burning areas from the smoke segments. Here, satellite image collected from NASA is utilized for the experimental study of the propo sed research. The images obtained from the NASA is given to HIS transformation that convert the RGB image into inte nsity, hue, saturation transformed image so that, this process is suitable for segmentation process. After the transformation of image, object segmentation technique is done bas ed on K-means clustering algorithm. Subsequently, FFNN is used fo r identification of smoke area from the segments. After identifying the smoke segment, the burning area is identified throu gh directional analysis. The proposed burnt area id entification technique is analyzed with the help of sensitivity, specificity and the accuracy. Finally, experimental results say that, the proposed technique is achieved the overall accuracy 2.6%, wh ich is better than the existing approach.   

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[24] White J., Ryan K., Key C., and Running S., Remote Sensing of Forest Fire Severity and Vegetation Recovery, International Journal of Wildland Fire , vol. 6, no. 3, pp. 125-136, 1996. Thumma Kumar obtained his Bachelor s degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, India in 2005. Then he obtained his Master s degree in Geo Informatics and Surveying Technology in the same university in 2007 and currently pursuing PhD in Spatial Information Technology from Jawaharlal Nehru Technological University, India. Currently, he is working as a Consultant Application Developer in Computer Sciences Corporation at Hyderabad, India. His specializations include working with different kind s of images, image classifications, image processing too ls and applications developed in MATLAB. His current research interests are Identification of Forest bur nt areas using Intensity, Hue and Saturation technique s. Kamireddy Reddy received his B.Tech. (Civil Engineering) (1983- 1987) from Sri Venkateswara University, Tirupati and M.Tech. (Remote Sensing) (1989-1991) and PhD (Remote Sensing and GIS) (2009) from Andhra University, Visakhapatnam. He joined in National Remote Sensing Centre (NRSC), Department of Space, Govt. of India, Hyderabad during 1992 as Scientist/Engineer SC . H e worked as Technical Secretary to the Director, NRSC and played a key role in Programme, Planning and Evaluation Group (PPEG) for 11 years. He also, headed Disaster Watch Team and worked as a Team member in Flood Disaster Management, Remote Sensing Application Group, NRSC for 2 years. Subsequently, he joined as the Director, (2004-2007 ) A.P. State Remote Sensing Applications Centre (APSRAC), Planning Department, Govt. of A.P. on deputation basis and elevated as the Director Gener al (2008-2011 for 4 years). He also held an additional responsibility of Director (Tech.), (2006-2011) at Andhra Pradesh State Disaster Mitigation Society (APSDMS), Planning Department, Govt. of Andhra Pradesh. At present Dr.K.M Reddy is working as Scientist SG , at NRSC in Remote Sensing Applications Area (RSA) looking after part of SIS-D P activities since November 2011. He is a member of several apex scientific bodies in the country. He h as more than 50 publications to his credit published i n various journals of national and international repu te.