Using of Landsat Images for Land Use Changes Detection in the Ecosystem: A Case Study of the Senegal River Delta ( Vol-1,Issue-2,July - August 2016 )
Author: M. A. Toure, M. L. Ndiaye, V. B. Traore, G. Faye, B. Cisse, A. Ndiaye, C. T.Wade
Keyword: Remote sensing, Land-use change, Climate change and variability, Landsat images, anthropic ecosystems of Delta, Senegal
Abstract: Land use changes study is an essential step for the monitoring and assessment of ecosystems. In Senegal River delta, ecosystem has experienced significant changes from 1970 to nowadays. Several natural and anthropic factors are at the origin of these modifications. The aim of this paper is to reconstruct the history of land use in the Senegal River delta and detect these changes. For this, Landsat images acquired in 1972 (MSS), 1984 and 1988 (TM), 1999 and 2006 (ETM) and 2014 (OLI) are used to make the diachronic study. We have first conducted a pretreatment of the image (relating to the geometrical and radiometric correction and the equalization of the histograms), calculated of pseudo-ACP bands and NDVI, classified and validated the images and finally detected changes by individual classification method. The results obtained, broadly show significant changes in terms of areas gain for the land plants (231%), growing areas (95%) and aquatic vegetation (75%). This dynamic is at the expense of saline lands, dune surfaces and the water areas. Interesting perspectives for authorities and decision makers in precise management of the ecosystem in the Senegal River delta are offered as well.
 Lambina E. F., Turnerb B. L., Geista H. J., Agbolac S. B., Angelsend A., Brucee J. W., Coomesf O. T., Dirzog R., Fischerh G., Folkei C., George P.S., Homewoodk K., Imbernonl J., Leemansm R., Lin X., Morano E. F., Mortimorep M., Ramakrishnanq P.S., Richardsr J. F., Skaness H., Steffent W., Stoneu G. D., Svedinv U., Veldkampw T. A., Vogelx C., Xuy J. 2001, The causes of land-use and land-cover change : moving beyond the myths. Global Environmental Change, vol. 11, pages 261–269.
 Lefebvre A. 2011, Contribution of the texture for image analysiswithveryhigh spatial resolution. Application to the change detection in peri-urbanareas,thesis, Department of Geography, University of Rennes II, Bretagne, p 284.
 Thompson R. S. et al. (1999). Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America. U.S. Geological Survey, Professional Paper 1650, part A and part B.
 Lambin E. F., Strahler A.H., (1994), Change-vector analysis in E.F. multitemporalspace : a tool to detect and categorize land-cover change processes using high temporal-resolution satellite data. Remote Sensing of Environment, vol. 48, pages 231–244, 1994.
 Mckee J. K., Sciulli P. W., Fooce C. D., Waite T. A. (2004), Forecasting global biodiversity threats associated with human population growth. Biological Conservation, 115, pp. 161–164.
 CSE 2010. Conditions and trends evaluation of the forestecosystems and its services in Senegal, Final Report Centre for Ecological Monitoring, 244P.
 Hartvich F., Koskinen K., Pellikka P. 2001, Change detection of urban areas using multitemporal Landsat TM satellite data in Turku, Finland, Presented at the Nordic GIS Conference, Helsinki, 8-10 October 2001.
 Hoang K. H., Bernier M. et Villeneuve J-P. 2008, Land use changes in Câu River basin (Vietnam). Diachronicapproach test, RemoteSensing Journal, vol. 8, n° 4, p. 227-236
 Berberoglu S., Akin A. 2009, Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean, International Journal of Applied Earth Observation and Geoinformation 11, 46–53.
 Zhang, Q., Wang, J., Peng, X., Gong, P., Shi, P. 2002, Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. Int. J. Remote Sens. 2002, 23, 3057–3078.
 Zhang Q., Ban Y. 2010, Monitoring impervious surface sprawl using tasseled cap transformation of landsat data, In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium – 100 Years ISPRS, Vienna, Austria, July 5–7, 2010, IAPRS, Vol. XXXVIII, Part 7A.
 Shalaby A., Tateishi R. 2007, Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the North-western coastal zone of Egypt, International Journal of Applied Geography 27, 28–41.
 Park K. P., Um D. Y. 2015, Change Detection of Urban Areas in Seoul using Landsat Satellite Images, Advanced Science and Technology Letters Vol.100 (Architecture and Civil Engineering, pp.131-134
 Ndiaye M. L. 2015, Land use changes detection and geomaticmodeling by multicriteriaevaluation for mapping of the vulnerable areas to flooding, Master, Option GIS and RemoteSensing, Mohammed V University / Craste_LF, 139 p.
 Jenson, J. R. 1983, Urban/suburban land use analysis. Manual of Remote Sensing, Vol. 2, second edition (Falls Church, Virginia: American Society of Photogrammetry), pp: 1571-1666.
 Lu D., Mausel, P., Brondízio, E., Moran, E.,2004, Change detection techniques, International Journal of RemoteSensing, 25:12, 2365-2401
 Singh A. 1989, Review Article Digital change detection techniques using remotely-sensed data, International Journal of Remote Sensing, Vol. 1, N° 6, 989-100.
 Cissé B. 2011, Les eaux de drainage des périmètres irrigues du Delta du fleuve Senegal : Systèmes d’évacuation et qualité des eaux. Thèse de Doctorat, Géographie UCAD. 310 p.
 Brusq J. Y. 1980.Studysoilbowls of LampsarValley (Region of Senegal river. Report. ORSTOM / SAED. 114 p.
 A. Ndiaye 2004. Fluvial dynamics and morpho-sedimentaryevolution of the estuary of the Senegal River after the impoundment of Diama dam. thesis. Sedimentaryenvironments. Geosciences. Cheikh AntaDiopUniversity of Dakar. 104 p.
 Barusseau JP 2009. Explanatory Notice of Senegalgeologicalmapat 1/500 000, northwestleaves, northeast and southwest. " Direction of Mines and Geology. Dakar-Senegal. 61 p.
 P. Sagna 2005. Climatedynamics and itsrecentdevelopments in the western part of West Africa, Volume I and II, 786 p.
 Sultan B. 2011. The study of variations and climate change in West Africa and itssocietal impact. HDR University Pierre and Marie Curie. France. 137 p.
 ANSD2014, Final report RGPHAE 2013, 416 p.
 Gibson P. and Power C. H. 2000, Introductory Remote Sensing, digital image processing and application, published by Routledge 249p
 Yang, X., and Lo, C. P. 2002, Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing, 23, 1775–1798
 Prol-ledesma R. M., Uribe-Alcantara M. and Diaz-Molina, O.2002, Use of cartographic data and Landsat TM images to determine land use change in the vicinity of Mexico City.International Journal of Remote Sensing, 23, 1927–1933.
 Chander G., Markham B., L., Helder D., L., 2013, Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors, Remote Sensing of Environment 113, 893–903
 Caloz R. and C. Collet 2001 Numerical traitement of remote sensing image. Remote sensing Pulled Silkscreen -Vol. 3, University Press of Quebec, 381p.
 Bonn F., and Rochon C. 1996. Précis de la télédétection, Volume 2 Applications Thématiques, ¨Presse de l’Université du Québec / AUPELF, 633 p.
 EB Dieye, Diaw AT, Diatta CS, DE Wispealare G. 2008. Spatial evolution of the mangrove of the Saloum estuary (Senegal) between 1972 and 1999 : Methodologicalapproach by RemoteSensing. Science and Technology Journal 2008, Vol . 6 No. 1, Faculty of Science and Technology, UCAD, Dakar, 36-48.
 Hussain M., Chen D., Cheng A., Wei H., Stanley D. 2013, Change detection from remotely sensed images: From pixel-based to object-based approaches, ISPRS Journal of Photogrammetry and Remote Sensing 80, 91–106
 J. Y. Rent 1989 Saltedsoils of the lowvalley of the Senegal River : Characterization, distribution and evolutionunderculture.ORSTOM, Studies and PhD, Paris, France, 137 p.
 Michel P. 1973. Senegal and Gambia rivers basins, geomorphological study, Volume I, II and III. Memory. ORSTOM. Louis Pasteur University in Strasbourg, France. 743 p.
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