Change detection analysis of reservoirs and lakes in Multi-Temporal Landsat-7 (ETM+) data over the Indian sub-continent during 2008-2018
Keywords:Landsat-7 (ETM ), Scan-Line-Corrector (SLC), focal analysis, change detection, Lakes and Reservoirs, accuracy assessment.
Remote sensing change detection techniques are extensively used in numerous applications such as land cover monitoring, disaster monitoring, and urban sprawl. The main motive of this paper study the change detection analysis of Land Use / Land Cover (LULC) in different lakes and Reservoirs, such as Chilika Lake, Pulicat Lake, Vembanad Lake, Penna Reservoir, and Nagarjuna Sagar Reservoir located in the Indian subcontinent region. The analyses and changes are evaluated during period of 2008 - 2018 in multi-temporal Landsat-7 (ETM+) data. The major disadvantage in Landsat-7 for data acquired from satellite sensor, is that it includes strips (gaps) in an image. On May 31, 2003 the Scan-Line-Corrector (SLC) failed completely, due to 22% of pixel information lost in the Landsat-7 data. The focal analysis method is applied to the required image for removing all strips (gaps). Change detection using Image Differencing technique, maximum changed area and unchanged area detect the different Lakes and Reservoirs in the period of 2008-2018. The unsupervised classification is used to compute the accuracy assessment analysis. Excellent results are obtained by using accuracy assessment for different Lakes and Reservoirs from 2008 to 2018, with the overall accuracy of 91.59%, and overall kappa statistics of 0.9032. The percentage of a decreased area is more in 2018 as compared to 2008 and it concludes that the percentage of decreased area is more as compared to the percentage of increased area for acquired Landsat-7 data.
 Ashbindu Singh, â€œReview article digital change detection techniques using remotely-sensed dataâ€, International Journal of Remote Sensing, vol.10 No.6, pp. 989-1003, 1989.
 Q. He, B. Shan, H. Ma, Y. Chen, and X. Wang, â€œResearch on algorithms for recovering Landsat-7 gap data,â€ in Proc. IEEE Int. Conf. Autom. Sci. Eng., Jul. 2011, pp. 1â€“4.
 Ashraf Dewan, Yasushi Yamaguchi, â€œUsing remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960â€“2005â€, Environ Monit Assess, vol.150, pp.237â€“249, 2009.
 Naveena, R., Wiselin Jiji, G., â€œChange Detection Techniques â€“ A Surveyâ€, International Journal on Computational Sciences & Applications (IJCSA) Vol.5, No.2, April 2015.
 X. Zhu and D. Liu, â€œMAP-MRF approach to Landsat ETM+ SLCoff image classification,â€ IEEE Geosci. Remote Sens., vol. 52, no. 2, pp. 1131â€“1141, Feb. 2014.
 Begum Demir, Francesca Bovolo and Lorenzo Bruzzone, â€œDetection of Land cover Transitions in Multi temporal Remote Sensing Images with Active Learning based compound Classificationâ€, IEEE Transactions on Geo Science and Remote Sensing Vol.50, No 5, May 2012.
 Bruzzone, L., Prieto D. F., â€œAutomatic analysis of the difference image for unsupervised change detectionâ€, IEEE Trans. Geo Sci. Remote Sens., vol. 38, No.3, pp.1171â€“1182, May 2000.
 Bovolo, F., Bruzzone, L., â€œA theoretical framework for unsupervised change detection based on change vector analysis in polar domainâ€, IEEE Trans. Geo Sci. Remote Sens., vol.45, No.1, pp.218â€“236, 2007.
 William K. Michener and Paula F. Houhoulis, â€œDetection of vegetation changes associated with extensive flooding in a forested ecosystemâ€, Photogrammetric Engineering & Remote Sensing, vol.63, No.12, pp.1363-1374, December 1997.
 Ramachandra, T. L., Uttam Kumar, â€œGeographic Resources Decision Support System for land use land cover dynamicsâ€, Proceedings of the Foss/Grass Users Conference - Bangkok, Thailand, 12-14 September 2004.
 Eric K Forkuo, Adubofour Frimpong, â€œAnalysis of Forest Cover Change Detectionâ€, International Journal of Remote Sensing Applications, Vol.2 Issue. 4, 2012.
 Masroor Hussain Dongmei, Angela Cheng, Hui Wei, and David Stanley, â€œChange detection from remotely sensed images: From pixel-based to object-based approachesâ€, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.80, pp.91â€“106, 2013.
 Christopher Munyati, â€œ Use of Principal Component Analysis (PCA) of Remote Sensing Images in Wetland Change detection on the Kafue Flats, Zambiaâ€ , Geocarto International, Vol. 19, No. 3, September 2004.
 Abdullah Alqurashi, Lalit Kumar, â€œInvestigating the use of Remote Sensing and GIS techniques to detect land use and land cover change: A Reviewâ€, Advances in Remote Sensing, vol 2, No.193-204, 2013.
 MUCHONEY, D. M., and HAACK, B. N., 1994, Change detection for monitoring forest defoliation. Photogrammetric Engineering and Remote Sensing, 60, 1243â€“1251.
 SOHL, T., 1999, Change analysis in the United Arab Emirates: an investigation of techniques. Photogrammetric Engineering and Remote Sensing, 65, 475â€“484.
 MANAVALAN, P., KESAVASAMY, K., and ADIGA, S., 1995, Irrigated crops monitoring through seasons using digital change detection analysis of IRDâ€“LISS 2 data. International Journal of Remote Sensing, 16, 633â€“640.
 Zhang, C., Li,W., & Travis, D.:Gaps-fill of SLC-off Landsat ETM plus satellite image using a geostatistical approach. International Journal of Remote Sensing, Vol 28, pp. 5103â€“5122, 2007.
 Pratt, W. K.: Digital Image Processing. New York: John Wiley & Sons, Inc, 2007.
 http://hexagongeospatial.fluidtopics.net(Accessed on October 08, 2015).http://landsat.usgs.gov/(Accessed on October 01, 2015).
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