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Articles

Quantification des changements récents à l'écotone forêt-toundra à partir de l'analyse numérique de photographies aériennes

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Pages 419-433 | Received 08 Aug 2014, Accepted 06 Feb 2015, Published online: 03 Dec 2015

Références

  • Allard, M., F. Calmels, D. Fortier, C. Laurent, E. L'Hérault et F. Vinet, 2007. Cartographie des conditions de pergélisol dans les communautés du Nunavik en vue de l'adaptation au réchauffement climatique. Ouranos, Montréal, Québec.
  • Allard, M. et M. Lemay, 2013. Le Nunavik et le Nunatsiavut: De la science aux politiques publiques. Une étude intégrée d'impact régional des changements climatiques et de la modernisation. ArcticNet, Québec, Québec.
  • Blaschke, T., 2010. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1): 2–16.
  • Bouchard, F., P. Francus, R. Pienitz, I. Laurion et S. Feyte, 2014. Subarctic thermokarst ponds: Investigating recent landscape evolution and sediment dynamics in thawed permafrost of northern Quebec (Canada). Arctic, Antarctic and Alpine Reseach, 46(1): 251–271.
  • Caloz, R. et C. Collet, 2001. Précis de Télédétection: Volume 3, Traitements numériques d'images de télédétection. Presses de l'Université du Québec, Québec, Québec.
  • Chapin, F. S, G. R. Shaver, A. E. Giblin, K. J. Nadelhoffer et I. A. Laundre, 1995. Responses of arctic tundra to experimental and observed changes dans climate. Ecology, 76(3): 694–711.
  • Cleve, C., M. Kelly, F. R. Kearns et M. Moritz, 2008. Classification of the wildland—urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography. Computers, Environment and Urban Systems, 32(4): 317–326.
  • Congalton, G. R., 1991. A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment, 37: 35–46.
  • Congalton, G. R. et K. Green, 2009. Assessing the Accuracy of Remotely Sensed Data. Principles and Practices, 2e édition, CRC Press, Boca Raton, Floride.
  • Coppin, P., I. Jonckheere, K. Nackaerts, B. Muys et E. Lambin, 2004. Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25(9): 1565–1596.
  • Denifiens, 2008. Developer 7 Reference Book. Definiens AG, Germany.
  • Desclée, B., P. Bogaert et P. Defourny, 2006. Forest change detection by statistical object-based method. Remote Sensing of Environment, 102(1–2): 1–11.
  • Dissanska, M., M. Bernier et S. Payette, 2009. Object—based classification of very high resolution panchromatic images for evaluating recent change in the structure of patterned peatlands. Canadian Journal of Remote Sensing, 35(2): 189–215.
  • Dribault, Y., K. Chokmani et M. Bernier, 2012. Monitoring seasonal hydrological dynamics of minerotrophic peatlands using multi-date GeoEye-1 very high resolution imagery and object-based classification. Remote sensing, 4(7): 1887–1912.
  • Elmendorf, S. C., G. H. R. Henry, R. D. Hollister, R. G. Björk, A. D. Bjorkman, T. V. Callaghan, L. S. Collier, E. J. Cooper, J. H. C. Cornelissen, T. A. Day, A. M. Fosaa, W. A. Gould, J. Grétarsdóttir, J. Harte, L. Hermanutz, D. S. Hik, A. Hofgaard, F. Jarrad, I. S. Jónsdóttir, F. Keuper, K. Klanderud, J. A. Klein, S. Koh, G. Kudo, S. I. Lang, V. Loewen, J. L. May, J. Mercado, A. Michelsen, U. Molau, I. H. Myers-Smith, S. F. Oberbauer, S. Pieper, E. Post, C. Rixen, C. H. Robinson, N. M. Schmidt, G. R. Shaver, A. Stenström, A. Tolvanen, Ø. Totland, T. Troxler, C.-H. Wahren, P. J. Webber, J. M. Welker et P. A. Wookey, 2012. Global assessment of experimental climate warming on tundra vegetation: heterogeneity over space and time. Ecology Letters, 15(2): 164–175.
  • Epstein, H., J. Beringer, W. A. Gould, A. H. Lloyd, C. C. Thompson, F. S. Chapin, G. J. Michaelson, C. L. Ping, C. L. Rupp et D. A. Walker, 2004a. The nature of spatial transitions in the Arctic. Journal of Biogeography, 31: 1917–1933.
  • Epstein, H., M. P. Calef, M. D. Walker, S. F. Chapin et A. M. Starfield, 2004b. Detecting changes in arctic tundra plant communities in response to warming over decadal time scales. Global Change Biology, 10(8): 1325–1334.
  • Forbes, B. C., M. M. Fauria et P. Zetterberg, 2010. Russian Arctic warming and ‘greening’ are closely tracked by tundra shrub willows. Global Change Biology, 16(5): 1542–1554.
  • Fortier, R. et B. Aubé-Maurice, 2008. Fast permafrost degradation near Umiujaq in Nunavik (Canada) since 1957 assessed from time-lapse aerial and satellite photographs dans D. L. Kane et K. M, Hinkel (éd.). Ninth International Conference on Permafrost, Institute of Northern Engineering, Fairbanks, Alaska.
  • Fortier, R., A.-M. LeBlanc, M. Allard, S. Buteau et F. Calmels, 2008. Internal structure and conditions of permafrost mounds at Umiujaq in Nunavik, Canada, inferred from field investigation and electrical resistivity tomography. Canadian Journal of Earth Sciences, 45(3): 367–387.
  • Fortier, R., A.-M. LeBlanc et W. Yu, 2011. Impacts of permafrost degradation on a road embankment at Umiujaq in Nunavik (Quebec), Canada. Canadian Geotechnical Journal, 48(5): 720–740.
  • Franklin, S. E., R. J. Hall, L. M. Moskal, A. J. Maudie et M. B. Lavigne, 2000. Incorporating texture into classification of forest species composition from airborne multispectral images. International Journal of Remote Sensing, 21(1): 61–79.
  • Fraser, R. H., I. Olthof, M. Carrière, A. Deschamps et D. Pouliot, 2011. Detecting long-term changes to vegetation in northern Canada using the Landsat satellite image archive. Environmental Research Letters, 6(4): 1–9.
  • Gao, Y., J. F. M. Niemeyer, P. R. Marpu et J. L. Palacio, 2007. Object-based image analysis for mapping land-cover in a forest area. Pages 13–15 dans 5th International Symposium: Spatial Data Quality, Enshede, Pays-Bas.
  • GIEC, 2007. Bilan 2007 des changements climatiques: Rapport de synthèse. Contribution des Groupes de travail I, II et III au quatrième Rapport d'évaluation de Groupe d'experts intergouvernemental sur l'évolution du climat GIEC, Genève, Suisse.
  • GIEC, 2013. Changements climatiques 2013: Les éléments scientifiques. Contribution du Groupe de travail 1 au cinquième Rapport d'évaluation du Groupe d'experts intergouvernemental sur l'évolution du climat, Cambridge University Press, Royaume-Uni et New York, État-Unis.
  • Hall-Beyer, M., 2007. University of Calgary: The GLCM tutorial, Calgary, Alberta, Canada. En ligne [URL] http://www.fp.ucalgary.ca/mhallbey/tutorial.htm (Accès le 20 juin 2013).
  • Hay, G. J., G. Castilla, M. A. Wulder et J. R. Ruiz, 2005. An automated object-based approach for the multiscale image segmentation of forest scenes. International Journal of Applied Earth Observation and Geoinformation, 7(4): 339–359.
  • Hollister, R. D., P. J. Webber et C. E. Tweedie, 2005. The response of Alaskan arctic tundra to experimental warming: differences between short- and long-term responses. Global Change Biology, 11(4): 525–536.
  • Kemper, J. T. et S. E. Macdonald, 2009. Directional change in upland tundra plant communities 20–30 years after seismic exploration in the Canadian low-arctic. Journal of Vegetation Science, 20: 557–567.
  • Laliberte, A.S., A. Rango, K. M. Havstad, J. F. Paris, R. F. Beck, R. McNeely et A. L. Gonzalez, 2004. Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico. Remote Sensing of Environment, 93(1–2): 198–210.
  • Lantz, T. C., S. V. Kokelj, S. E. Gergel et G. H. R. Henry, 2009. Relative impacts of disturbance and temperature: persistent changes in microenvironment and vegetation in retrogressive thaw slumps. Global Change Biology, 15(7): 1664–1675.
  • Liu, D. et L. Zhou, 2004. Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison. International Journal of Remote Sensing, 25(5): 1037–1050.
  • Liu, D. et F. Xia, 2010. Assessing object-based classification: advantages and limitations. Remote Sensing Letters 1(4): 187–194.
  • Loranty, M. M. et S. J. Goetz, 2012. Shrub expansion and climate feedbacks in Arctic tundra. Environmental Research Letters, 7(1): 1–3.
  • Lu, D., P. Mausel, E. Brondízio et E. Moran, 2004. Change detection techniques. International Journal of Remote Sensing, 25(12): 2365–2401.
  • Marchildon, C., 2007. Évolution spatio-temporelle des palses et des lithalses de la région des rivières Sheldrake et Nataposka, côte est de la baie d'Hudson, Nunavik. MSc thesis, Université Laval, Québec, Québec.
  • Mas, J.-F., 1999. Monitoring land-cover changes: a comparison of change detection techniques. International Journal of Remote sensing, 20(1): 139–152.
  • May, I., 2011. Using in-field and remote sensing data to monitor parmafrost dynamics in Northern Quebec. Mémoire PhD, Université Ludwig-Maximilians, Munich.
  • McManus, K. M., D. C. Morton, J. G. Masek, D. Wang, J. O. Sexton, J. R. Nagol, P. Ropars et S. Boudreau. 2012. Satellite-based evidence for shrub and graminoid tundra expansion in northern Quebec from 1986 to 2010. Global Change Biology, 18(7): 2313–2323.
  • Ménard, E., M. Allard et Y. Michaud, 1998. Monitoring of ground surface temperature in various biophysical micro-environments near Umiujaq, eastern Hudson bay, Canada. Pages 723–729 dans PERMAFROST—Seventh International Conference, Collection Nordicana, Yellowknife, Canada.
  • Morgan J. L., S. E. Gergel et N. C. Coops, 2010. Aerial photography: A rapidly evolving tool for ecological management. Bioscience, 60(1): 47–59.
  • Murray, H., A. Lucieer et R. Williams, 2010. Texture-based classification of sub-Antarctic vegetation communities on Heard Island. International Journal of Applied Earth Observation and Geoinformation, 12(3): 138–149.
  • Myers-Smith, I. H., B. C. Forbes, M. Wilmking, M. Hallinger, T. Lantz, D. Blok, K. D. Tape, M. Macias-Fauria, U. Sass-Klaassen, E. Lévesque, S. Boudreau, P. Ropars, L. Hermanutz, A. Trant, L. S. Collier, S. Weijers, J. Rozema, S. A. Rayback, N. M. Schmidt, G. Schaepman-Strub, S. Wipf, C. Rixen, C. B. Ménard, S. Venn, S. Goetz, L. Andreu-Hayles, S. Elmendorf, V. Ravolainen, J. Welker, P. Grogan, H. E. Epstein et D. S. Hik, 2011. Shrub expansion in tundra ecosystems: dynamics, impacts and research priorities. Environmental Research Letters, 6(4): 1–15.
  • Naito, A. T. et D. M. Cairns, 2011. Patterns and processes of global shrub expansion. Progress in Physical Geography, 35(4): 423–442.
  • Olthof, I., D. Pouliot, R. Latifovic et C. Wenjun, 2008. Recent (1986–2006) vegetation-specific NDVI trends in northern Canada from satellite data. Arctic, 61(4): 381–394.
  • Ostendorf, B. et J. F. Reynolds, 1998. A model of arctic tundra vegetation derived from topographic gradients. Landscape Ecology, 13: 187–201.
  • Payette, S., 1983. The forest tundra and present tree-lines of the northern Quebec-Labrador peninsula. Nordicana, 47: 3–23.
  • Payette, S., A. Delwaide, M. Caccianiga et M. Beauchemin, 2004. Accelerated thawing of subarctic peatland permafrost over the last 50 years. Geophysical Research Letters, 31: L18208.
  • PCI Geomatics, 2003. Geomatica OrthoEngine, User Guide. PCI Geomatics Entreprises Inc., Richmond Hill, Ontario.
  • Pouliot, D., R. Latifovic et I. Olthof, 2008. Trends in vegetation NDVI from 1 km AVHRR data over Canada for the period 1985–2006. International Journal of Remote Sensing, 30(1): 149–168.
  • Provencher-Nolet, L., 2014. Détection de changement à court terme de la toundra arbustive à partir de photographies aériennes, région d'Umiujaq, Nunavik (Québec, Canada). Mémoire MSc, Institut national de la recherche scientifique, Centre Eau Terre Environnement, Québec, Québec.
  • Puissant, A., J. Hirsch et C. Weber, 2005. The utility of texture analysis to improve perpixel classification for high to very high spatial resolution imagery. International Journal of Remote Sensing, 26(4): 733–745.
  • Ropars, P. et S. Boudreau, 2012. Shrub expansion at the forest—tundra ecotone: spatial heterogeneity linked to local topography. Environmental Research Letters, 7(1): 1–9.
  • Singh, A., 1989. Review Article: Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6): 989–1003.
  • Stow, D., A. Hope, D. McGuire, D. Verbyla, J. Gamon, F. Huemmrich, S. Houston, C. Racine, M. Sturm, K. Tape, L. Hinzman, K. Yoshikawa, C. Tweedie, B. Noyle, C. Silapaswan, D. Douglas, B. Griffith, G. Jia, H. Epstein, D. Walker, S. Daeschner, A. Petersen, L. Zhou et R. Myneni, 2004. Remote sensing of vegetation and land-cover change in arctic tundra Ecosystems. Remote Sensing of Environment, 89(3): 281–308.
  • Sturm, M., J. Holmgren, J. P. McFadden, G. E. Liston, F. S. Chapin et C. H. Racine, 2001a. Snow-shrub interactions in arctic tundra: A hypothesis with climatic implications. Journal of Climate, 14(3): 336–344.
  • Sturm, M., C. Racine et K. E. N. Tape, 2001b. Climate change: Increasing shrub abundance in the Arctic. Nature, 411: 546–547.
  • Tape, K. E. N., M. Sturm et C. Racine, 2006. The evidence for shrub expansion in Northern Alaska and the Pan-Arctic. Global Change Biology, 12(4): 686–702.
  • Throop, J., A. G. Lewkowicz, S. L. Smith et C. R. Burn, 2012. Climate and ground temperature relations at sites across the continuous and discontinuous permafrost zones, northern Canada. Canadian Journal of Earth Sciences 49(8): 865–876.
  • Tortora, R. D., 1978. A note on sample size estimation for multinomial populations. The American Statistician, 32(3): 100–102.
  • Tremblay, B., E. Lévesque et S. Boudreau, 2012. Recent expansion of erect shrubs in the Low Arctic: evidence from Eastern Nunavik. Environmental Research Letters, 7(3): 035501.
  • Truchon-Savard, A. et S. Payette, 2012. Black spruce colonization of forest-tundra snow patches of eastern Canada dans 42nd International Arctic workshop, Winter Park, Colorado.
  • Tuominen, S. et A. Pekkarinen, 2005. Performance of different spectral and textural aerial photograph features in multi-source forest inventory. Remote sensing of Environment, 94(2): 256–268.
  • United States Department of Agriculture, Natural Ressources Conservation Service. The PLANTS database. En ligne [URL] http://plants.usda.gov 2014 (Accès le 11 novembre 2014).
  • Vallée, S. et S. Payette, 2007. Collapse of permafrost mounds along a subarctic river over the last 100 years (northern Quebec). Geomorphology, 90(1–2): 162–170.
  • Walker, M. D., C. H. Wahren, R. D. Hollister, G. H. R. Henry, L. E. Ahlquist, J. M. Alatalo, M. S. Bret-Harte, M. P. Calef, T. V. Callaghan, A. B. Carroll, H. E. Epstein, I. S. Jónsdóttir, J. A. Klein, B. Magnússon, U. Molau, S. F. Oberbauer, S. P. Rewa, C. H. Robinson, G. R. Shaver, K. N. Suding, C. C. Thompson, A. Tolvanen, Ø. Totland, P. L. Turner, C. E. Tweedie, P. J. Webber et P. A. Wookey, 2006. Plant community responses to experimental warming across the tundra biome. Proceedings of the National Academy of Sciences of the United States of America, 103(5): 1342–1346.
  • Whiteside, G. T., S. G. Boggs et W. S. Maier, 2011. Comparing object-based and pixel-based classifications for mapping savannas. International Journal of Applied Earth Observation and Geoinformation, 13: 884–893.
  • Wright, G. G. et J. G. Morrice, 1997. Landsat TM spectral information to enhance the land cover of Scotland 1988 dataset. International Journal of Remote Sensing, 18(18): 3811–3834.
  • Xie, Y., Z. Sha et M. Yu, 2008. Remote sensing imagery in vegetation mapping: a review. Journal of Plant Ecology, 1(1): 9–23.
  • Yoshikawa, K. et L. D. Hinzman, 2003. Shrinking thermokarst ponds and groundwater dynamics in discontinuous permafrost near Council, Alaska. Permafrost and Periglacial Processes, 14(2): 151–160.
  • Yu, Q., P. Gong, N. Clinton, G. Biging, M. Kelly et D. Schirokauer, 2006. Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering & Remote Sensing, 72(7): 799–811.
  • Zamin, J. T. et P. Grogan, 2012. Birch shrub growth in the low Arctic: the relative importance of experiemental warming, enhanced nutrient availability, snow depth and caribou exclusion. Environmental Research Letters, 7: 1–9.
  • Zhou, W., A. Troy et J. M. Grove, 2008. Object-based land cover classification and change analysis in the Baltimore metropolitan area using multi-temporal high resolution remote sensing data. Sensors, 8: 1613–1636.

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