Détection des changements au niveau d’un couvert forestier en milieu semi-aride entre 1984–2009: Cas de la forêt de Senalba Chergui de Djelfa (Algérie)

Références bibliographiques

• Alphan, H. 2011. “Comparing the utility of image algebra operations for characterizing landscape changes: The case of the Mediterranean coast.” Journal of Environmental Management, Vol. 92(No. 11): pp. 2961–2971. doi:10.1016/j.jenvman.2011.07.009.
   PubMed Web of Science ®Google Scholar
• Arvidson, T., Goward, S., Gasch, J., et Williams, D. 2006. “Landsat-7 long-term acquisition plan: Development and validation.” Photogrammetric Engineering and Remote Sensing, Vol. 72(No. 10): pp. 1137–1146. doi:10.14358/PERS.72.10.1137.
   Web of Science ®Google Scholar
• Barisano, E. 1990. “Évaluation des ressources sylvicoles du Rif marocain oriental à partir de données SPOT.” Options Méditerranéennes Série A, Vol. 4: pp. 150–154. Disponible auprés http://om.ciheam.org/om/pdf/a04/CI911190.pdf.
   Google Scholar
• Benmelouka, A., et Souyad, N. 2004. Étude écologique du site naturel de Sénalba Chergui (Djelfa) en vue d’un classement en aire protégée. Alger: USTHB, Mém. Ing. Faculté des sciences biologiques.
   Google Scholar
• Bureau National des Études Forestières (BNEF). 1984a. Étude du milieu de la forêt domaniale Sénalba Chergui (Wilaya de Djelfa), pp. 1–25. Alger: Ministère de l’agriculture et de la révolution agraire (MARA).
   Google Scholar
• Bureau National des Études Forestières (BNEF). 1984b. Résultats de l'inventaire par série de la forêt domaniale de Sénalba Chergui (Wilaya de Djelfa), pp. 89–126. Alger: Ministère de l’agriculture et de la révolution agraire (MARA).
   Google Scholar
• Boivin, J., Gilles, S., Pierre, J.H., et Ludovic G. 2002. Évolution des surfaces boisées et des espaces verts dans la région métropolitaine de Montréal. Rapport préliminaire. INRS-Urbanisation, Montréal (Québec): culture et société et Intélec Géomatique Inc.
   Google Scholar
• Bouragba, N.B., Brague, A., Dellouli, S., et Lieutier, F. 2007. “Comparaison des peuplements de Coléoptères et d’Araignées en zone reboisée et en zone steppique dans une région présaharienne d’Algérie.” C. R. Biologies, Vol. 330(No. 12): pp. 923 –939. doi:10.1016/j.crvi. 2007.09.004.
   PubMedGoogle Scholar
• Boureau, J.G., et Ratte, J.P. 1990. “Application de la télédétection spatiale à la cartographie des formations forestières et au suivi de leur évolution.” Options Méditerranéennes Série A, Vol. 4: pp. 145–149. Disponible auprés http://om.ciheam.org/om/pdf/a04/CI911190.pdf.
   Google Scholar
• Brown, D.G., Duh, J.D., et Drzyzga, S.A. 2000. “Estimating Error in an Analysis of Forest Fragmentation Change Using North American Landscape Characterization (NALC) Data.” Remote Sensing of Environment, Vol. 71(No. 1): pp. 106–117. doi:10.1016/S0034-4257(99)00070-X.
   Web of Science ®Google Scholar
• Caloz, R., et Collet, C. 2001. Précis de Télédétection, III - Traitement numériques d’image de télédétection. Sainte-Foy, Canada: Presses de l’Université du Québec/AUPELF.
   Google Scholar
• Chakali, G. 2007. “Stratégie d’attaque de l’hylésine Tomicus destruens (Wollaston 1865) (Coleoptera: Scolytidae) sur le pin d’Alep en zone semi-aride (Algérie, Djelfa).” Annales de la Société Entomologique de France, Vol. 43(No 2): pp. 129–137. doi:10.1080/00379271.2007.10697502.
   Web of Science ®Google Scholar
• Chavez, P.S., Jr, et Mackinnon, D.J. 1994. “Automatic detection of vegetation changes in the southwestern United States using remotely sensed images.” Photogrammetric Engineering and Remote Sensing, Vol. 60(No 5): pp. 571–583.
   Web of Science ®Google Scholar
• Cohen, W.B., Spies, T.A et Bradshaw, G. A. 1990. “Semivariograms of digital imagery for analysis of conifer canopy structure.” Remote Sensing of Environment, Vol. 34: pp. 167–178. doi:10.1016/0034-4257(90)90066-U.
   Web of Science ®Google Scholar
• Congalton, R.G. 1991. “A review of assessing the accuracy of classification of remotely sensed data.” Remote Sensing of Environment, Vol. 37(No 1): pp. 35–46. doi:10.1016/0034-4257(91)90048-B.
   Web of Science ®Google Scholar
• Coppin, P.R., et Bauer, M.E. 1996. “Digital change detection in forest ecosystems with remote sensing imagery.” Remote Sensing Reviews, Vol. 13: pp. 207–234. doi:10.1080/02757259609532305.
   Google Scholar
• Davenport, M.L., et Nicholson, S.E. 1993. “On the relation between rainfall and the Normalized Difference Vegetation Index for diverse vegetation types in East Africa.” International Journal of Remote Sensing, Vol. 14: pp. 2369–2389. doi:10.1080/01431169308954042
   Web of Science ®Google Scholar
• Desclée, B., Bogaert, P., and et Defourny, P. 2006. Forest change detection by statistical object-based method. Remote Sensing of Environment, Vol. 102: pp. 1–11. doi:10.1016/j.rse.2006.01.013.
   Google Scholar
• FAO. 2010. Évaluation des ressources forestières mondiales 2010. Rapport principal. Rome: Organisation des Nations Unies pour l’alimentation et l’agriculture. Accessed 2017. Disponible auprès. www.fao.org/docrep/013/i1757f/i1757f.pdf.
   Google Scholar
• FAO. 2011. Situation des forêts du monde 2011. Rome: Organisation des Nations Unies pour l’alimentation et l’agriculture. Accessed 2017. Disponible auprès. www.fao.org/docrep/013/i2000f/i2000f.pdf.
   Google Scholar
• Franklin, S.E., Dickson, E.E., Farr, D.R., Hansen, M.J., et Moskal, L.M. 2000. “Quantification of landscape change from satellite remote sensing.” Forestry Chronicle, Vol. 76(No. 6): pp. 877–886. doi:10.5558/tfc76877-6.
   Web of Science ®Google Scholar
• Franklin, S.E., et Peddle, D. 1990. “Classification of SPOT HRV imagery and texture features.” International Journal of Remote Sensing, Vol. 11: pp. 551–556. doi:10.1080/01431169008955039.
   Web of Science ®Google Scholar
• Franklin, S.E., Wulder, M.A., et Gerylo, G.R. 2001. “Texture analysis of IKONOS panchro-matic data for Douglas-fir forest age class separability in British Columbia.” International Journal of Remote Sensing, Vol. 22: pp. 2627–2632. doi:10.1080/01431160120769.
   Web of Science ®Google Scholar
• Freitas, S.R., Mello, M.C.S., et Cruz, C.B.M. 2005. “Relationships between forest structure and vegetation indices in Atlantic Rainforest.” Forest Ecology and Management, Vol. 218: pp. 353–362. doi:10.1016/j.foreco.2005.08.036.
   Web of Science ®Google Scholar
• Galochet, M., Godard, V., et Hotyat, M. 2002. “Land Units and the Biodiversity of Forest Islets: From Satellite Images to Ground Analysis.” In Landscape Ecology in Agroecosystems Management, edited by L. Ryszkowski, pp. 317–330. Boca Raton: CRC Press.
   Google Scholar
• Guerra, F., Puig, H., et Chaume R. 1998. “The forest-savanna dynamics from multi-date Landsat-TM data in Sierra Parima, Venezuela.” International Journal of Remote Sensing, Vol. 19: pp. 2061–2075. doi:10.1080/014311698214866.
   Web of Science ®Google Scholar
• Haddouche, I., Benhanifia, K. et Gacemi, M. 2011. “Analyse spatiale de la régénération forestière post-incendie de la forêt de Fergoug à Mascara, Algérie.” Bois et Forêts des Tropiques, Vol. 65(No. 307): pp. 23–31.
   Google Scholar
• Halitim, A., 1988. Sols des régions arides d’Algérie, pp. 120–135. Alger: Office des publications universitaires.
   Google Scholar
• Hall, O., et Hay, G.J. 2003. “A Multiscale Object-Specific Approach to Digital Change Detection.” International Journal of Applied Earth Observation and Geoinformation, Vol. 4: pp. 311–327.
   Google Scholar
• Hall, F.G., Strebel, D.E., Nickeson, J.E. et Goets, S.J. 1991. “Radiometric rectification: toward a common radiometric response among multidate, multisensor images.” Remote Sensing of Environment, Vol. 35: pp. 11–27. doi:10.1016/0034-4257(91)90062-B.
   Web of Science ®Google Scholar
• Halperin, J., Mendel, Z., et Golan, Y. 1982. “On the damage caused by bark beetles to pine plantations. Preliminary report.” La-Yaraan, Vol. 32(No. 1): pp. 31–38.
   Google Scholar
• Hame, T., Heiler, I., et Miguel-Ayanz, J.S. 1998. “An unsupervised change detection and recognition system for forestry.” International Journal of Remote Sensing, Vol. 19: pp. 1079–1099. doi:10.1080/014311698215612.
   Web of Science ®Google Scholar
• Hayes, D.J., et Sader, S.A. 2001. “Comparison of change detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series.” Photogrammetric Engineering and Remote Sensing, Vol. 67(No. 9): pp. 1067–1075.
   Web of Science ®Google Scholar
• Henareh Khalyani, A., Mayer, A.L., Falkowski, M.J., et Muralidharan, D. 2013. “Deforestation and landscape structure changes related to socioeconomic dynamics and climate change in Zagros forests.” Journal of Land Use Science, Vol. 8(No. 3): pp. 321–340. doi:10.1080/1747423X.2012.667451.
   Google Scholar
• Jaiswal, R.K., Mukherjee, S., Raju, K., et Saxena, R. 2002. “Forest fire risk zone mapping from satellite imagery and GIS.” International Journal of Applied Earth Observation and Geoinformation, Vol. 4: pp. 1–10. doi:10.1016/S0303-2434(02)00006-5.
   Google Scholar
• Jasinski, M.F. 1990. “Sensitivity of the normalized difference vegetation index to subpixel canopy cover, soil albedo, and pixel scale.” Remote Sensing of Environment, Vol. 32: pp.169–187. doi:10.1016/0034-4257(90)90016-F.
   Web of Science ®Google Scholar
• Jensen, J.R., 1996. Introductory Digital Image Processing: A Remote Sensing Perspective. 2nd ed. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Jensen, J.R., 2005, Introductory Digital Image Processing: A Remote Sensing Approach. 3rd ed. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Johnson, R.D., et Kasischke, E.S. 1998. “Change vector analysis: A technique for the multispectral monitoring of land cover and condition.” International Journal of Remote Sensing, Vol. 19: pp. 411–426. doi:10.1080/014311698216062.
   Web of Science ®Google Scholar
• Kuuluvainen, T., Penttinen, A Leinonen, K., and et Nygren, M. 1996. “Statistical opportunities for comparing stand structural heterogeneity in managed and primeval forests: an example from boreal spruce forest in southern Finland” Silva Fennica, Vol. 30: pp. 315–328. doi: doi:10.14214/sf.a9243.
   Google Scholar
• Langford, J., Niemann, O., Frazer, G., Wulder, M., et Nelson, T. 2006. “Exploring small footprint LiDAR intensity data in a forested environment.” In: Proceedings, IEEE International Conference on Geoscience and Remote Sensing Symposium, pp. 2416–2419. Denver, CO: IGARSS.
   Google Scholar
• Lu, D., Mausel P., Brondízio E., et Moran, E. 2004. “Change detection techniques.” International Journal of Remote Sensing, Vol. 25: pp. 2365–2407. doi:10.1080/0143116031000139863.
   Web of Science ®Google Scholar
• Lu, D., Mausel, P., Batistella, M., et 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: pp. 101–114. doi:10.1080/01431160410001720748.
   Web of Science ®Google Scholar
• Lunetta, R.S., et Elvidge, C.D. 1999. Remote sensing change detection. Environmental monitoring methods and applications. London: Taylor and Francis.
   Google Scholar
• Lyon, J.G., Yuan, D., Lunetta, R.S., et Elvidge, C.D. 1998. “A change detection experiment using vegetation indices.” Photogrammetric Engineering and Remote Sensing, Vol. 64(No. 2): pp. 143–150.
   Web of Science ®Google Scholar
• Mas, J.-F. 1999. “Monitoring land-cover changes: A comparison of change detection techniques.” International Journal of Remote Sensing, Vol. 20: pp. 139–152. doi:10.1080/014311699213659.
   Web of Science ®Google Scholar
• Mas, J.-F. 2000. “Une revue des méthodes et des techniques de télédétection du changement.” Journal canadien de télédétection, Vol. 26: pp. 349–362. doi:10.1080/07038992.2000.10874785.
   Google Scholar
• Mather, P. M. 2005. “Introductory Digital Image Processing: A Remote Sensing Perspective” (3rd Edition), edited by Keith, C.C. Prentice Hall Series in Geographic Information Science: Saddle River, NJ, USA.
   Google Scholar
• Mouissa, H, et Fournier R.A. 2013. “Mapping stand volumes of Pinus halepensis Mill in a semi-arid region using satellite imagery of the Sénalba Chergui forest in north-central Algeria.” Journal of Arid Environments, Vol. 92: pp. 63–75. doi:10.1016/j.jaridenv.2013.01.008.
   Web of Science ®Google Scholar
• Morawitz, D.F., Blewett, T.M., Cohen, A., et Alberti, A. 2006. “Using NDVI to assess vegetative land cover change in central Puget Sound.” Environmental Monitoring and Assessment, Vol. 114: pp. 85–106. doi:10.1007/s10661-006-1679-z.
   PubMed Web of Science ®Google Scholar
• Muchoney, D.M., et Haack, B.N. 1994. “Change detection for monitoring forest defoliation.” Photogrammetric Engineering and Remote Sensing, Vol. 60(No. 10): pp. 1243–1251.
   Web of Science ®Google Scholar
• Nelson, R.F. 1983. “Detecting forest canopy change due to insect activity using Landsat MSS.” Photogrammetric Engineering and Remote Sensing, Vol. 49(No. 9): pp. 1303–1314.
   Web of Science ®Google Scholar
• Olsson, H.1995. “Reflectance calibration of Thematic Mapper data for forest change detection.” International Journal of Remote Sensing, Vol. 16: pp. 81–96. doi:10.1080/01431169508954373.
   Web of Science ®Google Scholar
• Pilon, P.G., Howarth, P.J., Bullock, R.A., et Adeniyi, P.O. 1988. “An enhanced classification approach to change detection in semi-arid environments.” Photogrammetric Engineering and Remote Sensing, Vol. 54(No. 12): pp. 1709–1716.
   Web of Science ®Google Scholar
• REDD. 2009. Bilan annuel 2009, programme des Nations Unies REDD. New York: Nations Unies. Disponible auprès. www.un-redd.org/NewsCentre/2009_Year_In_Review/tabid/3499/language/en-US/Default.aspx.
   Google Scholar
• Remmel, T.K., et Perera, A. H. 2001. “Fire mapping in northen boreal forest: assessing AVHRR/NDVI methods of change detection.” Forest Ecology and Management, Vol. 152: pp. 119–129. doi:10.1016/S0378-1127(00) 00594-6.
   Web of Science ®Google Scholar
• Ridd, M.K., et Liu, J. 1998. “A comparison of four algorithms for change detection in an urban environment.” Remote Sensing of Environment, Vol. 63: pp. 95–100. doi:10.1016/S0034-4257(97)00112-0.
   Web of Science ®Google Scholar
• Sader, S.A., Bertrand, M., et Wilson, E.H. 2003. “Satellite change detection of forest harvest patterns on an industrial forest landscape.” Forest Science, Vol. 49(No. 3): pp. 341–353. doi:10.1093/forestscience/49.3.341.
   Web of Science ®Google Scholar
• Sader, S.A., et Winne, J.C. 1992. “RGB-NDVI colour composites for visualizing forest change dynamics.” International Journal of Remote Sensing, Vol. 13: pp. 3055–3067. doi:10.1080/01431169208904102.
   Web of Science ®Google Scholar
• Sellers, P.J. 1985. “Canopy reflectance, photosynthesis, and transpiration.” International Journal of Remote Sensing, Vol. 6: pp. 1335–1372. doi:10.1080/01431168508948283.
   Web of Science ®Google Scholar
• Shao, G., Liu, D., et Zhao, G. 2001. “Relationships of image classification accuracy and variation of landscape statistics.” Canadian Journal of Remote Sensing, Vol. 27: pp. 33–43. doi:10.1080/07038992.2001.10854917.
   Web of Science ®Google Scholar
• Singh, A. 1989. “Review article digital change detection techniques using remotely-sensed data.” International Journal of Remote Sensing, Vol. 6: pp. 989–1003. doi:10.1080/01431168908903939.
   Web of Science ®Google Scholar
• Soulard, C.E., et Wilson, T.S. 2015. “Recent land-use/land-cover change in the Central California Valley.” Journal of Land Use Science, Vol. 10(No. 1): pp. 59–80. doi:10.1080/1747423X.2013.841297
   Web of Science ®Google Scholar
• Stefanov, W.L, Ramsey, M.S., et Christensen, P.R. 2001. “Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to urban centers.” Remote Sensing of Environment, Vol. 77: pp. 173–185. doi:10.1016/S0034-4257(01)00204-8.
   Web of Science ®Google Scholar
• Tucker, C.J. 1979. “Red and photographic infrared linear combinations for monitoring vegetation.” Remote Sensing of Environment, Vol. 8: pp. 127–150. doi:10.1016/0034-4257(79)90013-0.
   Web of Science ®Google Scholar
• UNDP. 2011. Objectifs du Millénaire pour le Développement. Rapport de 2011. New York: Nations Unies. Disponible auprès www.beta.undp.org/content/dam/undp/library$/MDG/french/MDG-Report-2011-FR.pdf.
   Google Scholar
• UNEP. 2006. Rapport annuel du PNUE 2006. New York: Nations Unies. Disponible auprès www.unep.org/pdf/annualreport/UNEP_AR_2006_French.pdf.
   Google Scholar
• Vicente-Serrano, S.M., Lasanta, T., et Gracia, C. 2010. “Aridification determines changes in forest growth in Pinus halepensis forests under semiarid Mediterranean climate conditions.” Agricultural and Forest Meteorology, Vol. 150(No. 4): pp. 614–628. doi:10.1016/j.agrformet.2010.02.002.
   Web of Science ®Google Scholar
• Volcani, A., Karnneili, A., et Svoray, T. 2005. “The use remote sensing and GIS for spastio-temporal analysis of the physiological state of a semi-arid forest with respect to drought years.” Forest Ecology and Management, Vol. 215: pp. 239–250. doi:10.1016/j.foreco.2005.05.063.
   Web of Science ®Google Scholar
• Wang, X., Guo, Y., He, J., Du, L., et Hu, T. 2018. “Estimation of forest aboveground biomass from HJ1B imagery using a canopy reflectance model and a forest growth model.” Geocarto International, Vol. 33: pp. 148–162. doi:10.1080/10106049.2016.1232438.
   Web of Science ®Google Scholar
• Washington-Allen, R.A., Ramsey, R.D., Norton, B.E., et West, N.E. 1998. “Change detection of the effect of severe drought on subsistence agropastoral communities on the Bolivian Altiplano.” International Journal of Remote Sensing, Vol. 19: pp. 1319–1333. doi:10.1080/014311698215469.
   Web of Science ®Google Scholar
• Welch, R., et Ahlers W. 1987. “Merging Multiresolution SPOT HRV and Landsat TM Data.” Photogrammetric Engineering and Remote Sensing, Vol. 53(No. 3): pp. 301–303.
   Web of Science ®Google Scholar
• Wickham, J.D., O'Neill, R.V., Riitters, K.H., Wade,T.G., et Jones, K.B. 1997. “Sensitivity of Selected Landscape Pattern Metrics to Land-Cover Misclassification and Differences in Land-Cover Composition.” Photogrammetric Engineering & Remote Sensing, Vol. 63(No. 4): pp. 397–402.
   Web of Science ®Google Scholar
• Wilson, E.H., et Sader, S.A. 2002. “Detection of forest harvest type using multiple dates of Landsat TM imagery.” Remote Sensing of Environment, Vol. 80: pp. 385–396. doi:10.1016/S0034-4257(01)00318-2.
   Web of Science ®Google Scholar
• Wulder, M.A., Franklin, S.E et Lavigne, M. 1996. “High spatial resolution optical image texture for improved estimation of forest stand leaf area index.” Canadian Journal of Remote Sensing, Vol. 22: pp. 441–49. doi:10.1080/07038992.1996.10874668.
   Google Scholar
• Xiong, X., Che, N., et Barnes, W.L. 2006. “Terra MODIS On-Orbit Spectral Characterization and Performance.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 44(No. 8): pp. 2198–2206. doi:10.1109/TGRS.2006. 872083.
   Web of Science ®Google Scholar
• Yuan, D., et Elvidge, C. 1996. “Comparison of relative radiometric normalization techniques.” ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 51: pp. 117–126. doi:10.1016/0924-2716(96)00018-4.
   Web of Science ®Google Scholar
• Zhu, Z. 2017. “Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications.” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 130: pp. 370–384. doi:10.1016/j.isprsjprs.2017.06.013.
   Web of Science ®Google Scholar