A Novel Remote Sensing Technology on Land Analysis Use Change Detection
Author : J. Suresh Babu and T. SudhaVolume 8 No.3 Special Issue:June 2019 pp 137-141
Abstract
Change location is helpful in numerous applications identified with land use and land cover changes, for example, moving development and scene changes, arrive corruption and desertification. Remotes sensing technology has been utilized for the location of the adjustment in land use arrive cover in upper Rib watershed. The fundamental target of this examination was to identify the land use change utilizing Remotes sensing for manageable land use arranging in Upper Rib watershed. The two satellite pictures for the year 2007 and 2018 were downloaded and utilized for recognizing the land cover changes. Most extreme probability arrangement was utilized in ERDAS Imagine device for characterizing the pictures. Ground truth focuses were gathered and utilized for check of picture arrangement. This was identified with the proceeded with extension of developed and settlement over years in River watershed. The information about the adjustment in land use is so fundamental for the organization and land use arranging exercises in upper Rib watershed. This is so for, the expansion and profitability of Rib repository by decreasing the upland disintegration through powerful land use arranging and soil preservation rehearses. Consequently, this examination uncovered that there is an expansion of horticultural land which needs due consideration towards soil protection for the improvement of the helpful existence of the supply.
Keywords
Land Use Change, Remote Sensing, Upper Rib Watershed, ERDAS Imagine, Change Detection, Supervised Classification
Full Text:
References
[1] Al-Hassideh and R. Bill, “Land Cover Changes In The Region of Rostock – Can Remote Sensing And Gis Help To Verify And Consolidate Official Census Data”, 2008.
[2] R.D. Macleod and R.G. Congalton, “A Quantitative Comparison of Change Detection Algorithms for Monitoring Eelgrass from Remotely Sensed Data”, Photogrammetric Engineering & Remote Sensing, Vol.64, No. 3, pp. 207-216. 1998.
[3] R. Manonmani, and G.M.D. Suganya, “Remote Sensing and GIS Application in Change Detection Study In Urban Zone Using Multi Temporal Satellite”, International Journal of Geomatics and Geosciences, Vol. 1, No. 1, pp. 60-65, 2010.
[4] Canada Centre for Remote Sensing, Fundamentals of Remote Sensing, 2015.
[5] F. Eric, and K.A. Frimpong, “Analysis of Forest Cover Change Detection”, International Journal of Remote Sensing Applications, Vol. 2, No. 4, pp. 82-92, 2012.
[6] M. Pandian, N. Rajagopal, G. Sakthivel and D.E. Amrutha, “Land use and land cover change detection using remote sensing and GIS in parts of Coimbatore and Tiruppur districts, Tamil Nadu, India”, J Indian Soc Remote, Vol. 3, No. 1, 2014.
[7] T.G. Andualem, and B. Gebremariam, “Impact of land use land cover change on stream flow and sediment yield:A case study of GilgelAbay watershed, Lake Tana Sub-Basin, Ethiopia”, Int J Technol Enhance, Vol. 3, pp. 28-42, 2015.
[8] E.F Lambin, H.J Geist, and E.Lepers, “Dynamics of land-use and land-cover change in tropical regions”, Annual review of environment and resources, Vol. 28, pp. 205-241, 2003.
[9] T.M. Lillesand, and R.W. Kiefer, Remote sensing and image interpretation, (4th edn) New York: Wiley, USA, Vol. 132, pp. 248, 1994.
[10] S.N.Islam, “Threatened wetlands and ecologically sensitive ecosystems management in Bangladesh”, Front. Earth Sci. China, Vol. 4, No. 4, pp. 438–448, 2010.
[11] A.D. Lopez, C.D. Mathers, M. Ezzati, D.T. Jamison, and C.J. Murray, “Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data”, Lancet, Vol. 367, No. 9524, pp. 1747–1757, 2006.
[12] G.M. Foody, “Status of land cover classification accuracy assessment”, Remote Sensing of Environment, Vol. 80, No. 1,pp. 185-201. 2002.
[13] J.F.Mas, Monitoring Land – Cover Changes: “A Comparison of Change Detection Techniques”, International Journal of Remote Sensing, Vol. 20, No. 1, pp.139-152, 1999.
[14] H. McNairn, and R. Protz, “Mapping corn residue cover on agricultural fields in Oxford County Ontario, using Thematic Mapper”, Canadian Journal of Remote Sensing, Vol.19, No. 2, pp. 152-159, 1993.
[15] M. Jemberie, T. Gebrie, and B. Gebremariam, “Evaluation of land use land cover change on stream flow: A case study of Dedissa sub basin, Abay basin, South Western Ethiopia”, Evaluation IJIERT, Vol. 3, pp. 44-60, 2016.
[16] VVLN. Sarma, G. MuraliKrishna, B. HemaMalini, and K. NageswaraRao, “Landuse / landcover change detection through remote sensing and its climatic implications in the Godavari Delta Region”, J Indian Soc Remote, Vol. 29, pp. 85-91, 2001.
[17] A. Owojori, and H Xie, “Landsat image-based LULC changes of San Antonio,Texas using advanced atmospheric correction and object-oriented image analysis approaches”, In 5th International symposium on remote sensing of urban areas, Tempe, AZ, USA.March 14-16, 2005.
[18] T.G. Andualem, G. Belay, and A. Guadie, “Land Use Change Detection Using Remote Sensing Technology”, J Earth SciClim Change, Vol. 9, pp. 496, 2018.
[19] F. Yuan, K.E. Sawaya, B.C. Loeffelholz, and M.E. Bauer. “Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan areas by multi temporal Landsat remote sensing”, Remote Sensing of Environment, pp. 317-328, 2005.
[20] Esri User Conference: GIS – Inspiring what’s Next July 8 – 12, 2019, San Diego Convention Center, San Diego, California.
[21] Data Science Machine Learning For Beginners, [online] Available: http://www.towardsdatascience.com, 2018.
[22] S. Nayana, Ratnaparkhi, D. AjayNagne and BhartiGawali, “Analysis of Land Use/Land Cover Changes Using Remote Sensing and GIS Techniques in Parbhani City, Maharashtra”, India Cloud Publications, International Journal of Advanced Remote Sensing and GIS, Vol. 5, No. 4, pp. 1702-17081, 2016.
[23] J. Bioucas-Dias et al., “Hyperspectral remote sensing data analysis and future challenges”, IEEE Geosci. Remote Sens. Mag., Vol. 1, No. 2, pp. 6–36, Jun. 2013.
[24] G. Vivone et al., “A critical comparison among pan sharpening algorithms”, IEEE Trans. Geosci. Remote Sens., Vol. 53, No. 5, pp. 2565–2586, May 2015.
[25] J. Zhang, “Multi-source remote sensing data fusion: Status and trends”, Int. J. Image Data Fusion, Vol.1, No. 1, pp. 5–24, Mar.2010.
[26] E. Pardo-Iguzquiza, V.F. Rodríguez-Galiano, M. Chica-Olmo, and P.M. Atkinson, “Image fusion by spatially adaptive filtering using down scaling cokriging”, ISPRS J. Photogramm. Remote Sens., Vol. 66, No. 3, pp. 337–346, May 2011.
[27] M. H. R. Sales and C. M. Souza, Jr., and P.C. Kyriakidis, “Fusion of MODIS images using kriging with external drift”, IEEE Trans. Geosci. Remote Sens., Vol. 51, No. 4, pp. 2250–2259, Apr. 2013.