Spatio-temporal dynamics of vegetation cover in North-West Algeria using remote sensing data

Abstract

Land cover change is the result of complex interactions between social and environmental systems which change over time. While climatic and biophysics phenomena were for a long time the principal factor of land transformations, human activities are today the origin of the major part of land transformation which affects natural ecosystems.

Quantification of natural and anthropogenic impacts on vegetation cover is often hampered by logistical issues, including (1) the difficulty of systematically monitoring the effects over large areas and (2) the lack of comparison sites needed to evaluate the effect of the factors.

The effective procedure for measuring the degree of environmental change due to natural factors and human activities is the multitemporal study of vegetation cover. For this purpose, the aim of this work is the analysis of the evolution of land cover using remote sensing techniques, in order to better understand the respective role of natural and anthropogenic factors controlling this evolution.

A spatio-temporal land cover dynamics study on a regional scale in Oranie, using Landsat data for two periods (1984–2000) and (2000–2011) was conducted. The images of the vegetation index were classified into three classes based on Normalized Difference Vegetation Index (NDVI) values and analysed using image difference approach.

The result shows that the vegetation cover was changed. An intensive regression of the woody vegetation and forest land resulted in -22.5% of the area being lost between 1984 and 2000, 1,271 km2 was converted into scrub formations and 306 km2 into bare soil. On the other hand, this class increased by around 45% between 2000 and 2011, these evolutions resulting from the development of scrub groups with an area of 1,875.7 km2.

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  • Alcaraz C., 1982, The vegetation of the Algerian west. Doct. thesis Es. Sc. University Perpignan, 415 pp.

  • Alphan H., 2003, Land use change and urbanization in Adana, Turkey. “Land Degradation Development” Vol. 14, no. 6, pp. 575−586.

  • Benabdeli K., 1996, Physionomico-structural aspects of woody vegetation in relation to the anthropozoic pressure in the Dhaya Mountains and the Tlemcen Mountains (Western Algeria). Doct. thesis. University of Sidi Bel Abbes.

  • Benchetrit M., 1966, The modalities of forest degradation in the Tell Oranie. “Revue de Géographie de Lyon” Vol. 41, no. 4, pp. 303−338.

  • Bernstein L.S., Adler-Golden S,. M. Sundberg R.L., 2005, Validation of the QUick Atmospheric Correction (QUAC) algorithm for VNIR-SWIR multi-and hyperspectral imagery. “SPIE Proceedings, ATMHUI” XI, Vol. 5806, pp. 668−678.

  • Bernstein L.S., Adler-Golden S.M., Sundberg R.L., Ratkowski A., 2006, Improved reflectance retrieval from hyper- and multispectral imagery without prior scene or sensor information. “SPIE Proceedings, Remote Sensing of Clouds and the Atmosphere” XI, Vol. 6362.

  • Boudy P., 1948, North African Forest Economy. Vol. 1: Physical environment and human environment.

  • Chander G., Markham B., 2003, Revised Landsat-5 TM radiometric calibration procedures and post-calibration dynamic ranges. “IEEE Translations on Geoscience and Remote Sensing” Vol. 41, no. 11, p. 4.

  • Chavez P.S., 1996, Image-based atmospheric corrections revisited and improved. “Photogrammetry Engineering and Remote Sensing” Vol. 62, pp. 1025−1036.

  • Coppin P., Jonckheere I., Nackaerts K., Muys B., Lambin E., 2004, Digital change detection methods in ecosystem monitoring: a review. “Intern. Journal of Remote Sensing” Vol. 25, pp. 1565−1596.

  • Dai X.L., Khorram S.. 1999, Remotely sensed change detection based on artificial neural networks. “Photogrammetry Engineering and Remote Sensing” Vol. 65, no. 10, pp. 1187−1194.

  • DGF, 2013, Assessment of forest fires in Algeria (1963−2013).

  • Durand J.H., 1954, The soils of Algeria. “Serv. Pedo. Hyd. Alger”.

  • Girard M-C., Girard C-M., 1999, Remote sensing data processing. Paris: Dundo, 529 pp.

  • Glenn E.P., Huete A.R., Nagler P.L., Nelson S.G, 2008, Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape. “Sensors” No. 8, pp. 2136−2160.

  • Goetz S.J., Bunn A.G., Fiske G.J., Houghton R.A., 2005, Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance. “Proceedings of the National Academy of Sciences of the United States of America” Vol. 102, pp. 13521−13525.

  • Howarth P.J., Wickware G.M., 1981, Procedures for change detection using Landsat digital data. “Intern. Journal of Remote Sensing” Vol. 2, no. 3, pp. 277−291.

  • Hubert-Moy L., Clément B., Lennon M., Houet T., Lefeuvre E., 2004, Study of valley bottom wetlands from hyperspectral images CASI: Application to a watershed in the Pleine-Fougères region (Brittany, France). “Photo-Interprétation”, N° 2003/01, pp. 41−48.

  • Jensen J.R., 1996, Introductory digital image processing: A remote sensing perspective. New Jersey: Prentice-Hall.

  • Jensen J.R., 2004, Digital change detection. Introductory digital image processing: A remote sensing perspective. New Jersey: Prentice-Hall, pp. 467−494.

  • Jensen J.R., 2016, Digital change detection. In: J.R. Jensen: Introductory Digital Image Processing. A Remote Sensing Perspective. 4th Edition, Prentice Hall, Chapter 12.

  • Julien Y., Sobrino J.A., Verhoef W., 2006, Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999. “Remote Sensing of Environment” Vol. 103, no. 1, pp. 43–55.

  • Kennedy R.E. et al., 2014, Bringing an ecological view of change to Landsat-based remote sensing. “Frontiers in Ecology and the Environment” Vol. 12, pp. 339−346.

  • Kennedy R.E, Townsend P.A., Gross J.E., Cohen W.B., Bolstad P., Wang Q.Y., Adams P., 2009, Remote sensing change detection tools for natural resource managers: understanding concepts and tradeoffs in the design of landscape monitoring projects. “Remote Sensing of Environment” No. 113, pp. 1382−1396.

  • Koltunov A., Ustin S.L., 2007, Early fire detection using non-linear multitemporal prediction of thermal imagery. “Remote Sensing of Environment” No. 110, pp. 18−28.

  • Lu D., Mausel P., Batistella M., Moran E., 2005, Land-cover binary change detection methods for use in the moist tropical region of the Amazon: a comparative study. “International Journal of Remote Sensing” Vol. 26, no. 1, pp. 101–114.

  • Lu D., Mausel P., Brondizio E., Moran E., 2004, Change detection techniques. “International Journal of Remote Sensing” Vol. 25, no. 12, pp. 2365–2407.

  • Lyon J.G., Yuan D., Lunetta R.S., Elvidge C.D., 1998, A change detection experiment using Vegetation Indices. “Photogrammetric Engineering and Remote Sensing” No. 64, 143–150.

  • Markham B.L., Barker J.L., 2006, Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectance and at-satellite temperature. “EOSAT Landsat Technical Notes” Vol. 1, pp. 3−8

  • Mundia C., Aniya M., 2006, Dynamics of land use/cover changes and degradation of Nairobi City, Kenya. “Land Degradation Development, 1986” Vol. 17, no. 1, pp. 97–108.

  • Myneni R.B., Keeling C.D., Tucker C J., Asrar G., Nemani R.R., 1997, Increased plant growth in the northern high latitudes from 1981 to 1991. “Nature” No. 386(6626), pp. 698–701

  • Pouchin T., 2001, Elaboration of a landscape observatory. Application to the estuary of the Seine. Doct. thesis Interdisciplinary Center for Research in Transport and International Affairs, Le Havre.

  • Schott J., Salvaggio C., Volchok W., 1988, Radiometric scene normalization using pseudoinvariant features. “Remote Sensing Environment” No. 26, pp. 1−16.

  • Singh A., 1989, Digital change detection techniques using remotely-sensed data. “International Journal of Remote Sensing” Vol. 10, no. 6, pp. 989−1003.

  • Sitayeb T., Benabdeli K., 2008, Contribution to the study of the land use dynamics of the Macta Plain (Algeria) using remote sensing and Geographic Information Systems. “Comptes Rendus Biologie” No. 331, pp. 466−474.

  • Sobrino J.A., Raissouni N., 2000, Toward remote sensing methods for land cover dynamic monitoring: application to Marocco. “International Journal of Remote Sensing” Vol. 21, pp. 353–363.

  • Stefanov W.L., 2001, Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to urban centres. “Remote Sensing of Environment” No. 77, pp. 173–185.

  • Teillet P.M., Barker J.L., Markham B.L., Irish R.R., Fedosejevs G., Store, J., 2001, Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets. “Remote Sensing of Environment” No. 78, pp. 39−54.

  • Thome K., Markham B., Barker J., Slater P., Biggar S., 1997, Radiometric calibration of Landsat. “Photo-grammetric Engineering and Remote Sensing” No. 63, pp. 853−858.

  • Verbesselt J., Hyndman R., Newnham G., Culvenor D., 2010, Detecting trend and seasonal changes in satellite image time series. “Remote Sensing of Environment” No. 114, pp. 106−115.

  • Yuan F., Sawaya K.E., Loeffelholz B.C., Bauer M.E., 2005, Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. “Remote Sensing of Environment” No. 98, pp. 317−328.

  • Zhang X., Friedl M.A., Schaaf C.B., Strahler A.H., Hodges J.C.F., Gao F., Reed B.C., Huete A., 2003, Monitoring vegetation phenology using MODIS. “Remote Sensing of Environment” No. 84, pp. 471−475.

  • Zhou L., Tucker C.J., Kaufmann R.K., Slayback D., Shabanov N.V., Myneni R.B., 2001, Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981–1999. “Journal of Geophysical Research” Vol. 106, no. 20, pp. 69–83.

  • Zhu Z., 2017, Change detection using Landsat time series: A review of frequencies, preprocessing, algorithms, and applications. “ISPRS Journal of Photogrammetry and Remote Sensing” No. 130, pp. 370−384.

  • Williams D.L., Goward S., Arvidson T., 2006, Landsat: yesterday, today, and tomorrow. “Photogrammetric Engineering and Remote Sensing” Vol. 72, no. 10, pp. 1171–1178.

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