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

Open access

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.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • 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.

Search
Journal information
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 22 22 13
PDF Downloads 56 56 45