Critical Remote Sensing Contributions to Spatial Wildlife Ecological Knowledge and Management

  • Gregory J. McDermid
  • Nicholas C. Coops
  • Michael A. Wulder
  • Steven E. Franklin
  • Nicole E. Seitz


A spatial information management approach to applied wildlife ecology will rely on our capacity to link animal-based data sets — observations related to a species' distribution, abundance, health, or genetics, for example — to a variety of spatially explicit environmental variables. This idea is based on the general concept that an organism's characteristics and behaviors at both the individual and population levels are inextricably linked to the physical habitat in which it occurs (Guisan and Zimmermann 2000; Braun 2005). While the investigation of these links must be well-grounded by solid field observations, the multiple scales and extent over which information must be compiled suggests a key role for remote sensing instruments and related technologies. For example, it is becoming increasingly evident that the health of wild species is adversely affected by human activities and landscape change (e.g. Daszak et al. 2001; Farnsworth et al. 2005). Ongoing research may reveal a direct link between human-induced habitat changes and long-term physiological stress, leading to damaging health consequences in individual animals (i.e. impaired reproduction, diminished growth, suppressed immune function) and subsequent negative effects at the population level (i.e. low natality and survival rates, diminished abundance). An approach to understanding these relationships, based on sensitive and reliable measures of health, stress, and landscape change, is both urgently needed and impossible to conceive without remote sensing.


Land Cover Normalize Difference Vegetation Index Synthetic Aperture Radar Advance Very High Resolution Radiometer Land Cover Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Amstrup SC, McDonald TL, Durner GM (2004) Using satellite radiotelemetry data to delineate and manage wildlife populations. Wildl Soc Bull 32:661–679.CrossRefGoogle Scholar
  2. Anderson JR, Hardy EE, Roach JT, Witmer E (1976) A land use and land cover classification system for use with remote sensor data. U.S. Geological Survey Professional Paper 964. Washington, DC.Google Scholar
  3. Asner GP, Wessman CA (1997) Scaling PAR absorption from the leaf to landscape level in spatially heterogeneous ecosystems. Ecol Model 103:81–97.CrossRefGoogle Scholar
  4. Atkinson PM, Lewis P (2000) Geostatistical classification for remote sensing: an introduction. Comput Geosci 26:361–371.CrossRefGoogle Scholar
  5. Atkinson PM, Cutler EJ, Lewis H (1997) Mapping sub-pixel proportional land cover with AVHRR imagery. Int J Remote Sens 18:917–935.CrossRefGoogle Scholar
  6. Austin GE, Thomas CJ, Houston DC, Thompson DBA (1996) Predicting the spatial distribution of buzzard Buteo buteo nesting areas using a Geographical Information System and remote sensing. Journal of Applied Ecology 33(6): 1541–1550.CrossRefGoogle Scholar
  7. Bailey SA, Horner-Devine MA, Luck G, Moore LA, Carney KM, Anderson S, Betrus C, Fleishman E (2004) Primary productivity and species richness: relationships among functional guilds, residency groups and vagility classes at multiple spatial scales. Ecography 27:207–217.CrossRefGoogle Scholar
  8. Beaudoin A, Letoan T, Goze S, Nezry E, Lopes A, Mougin E, Hsu CC, Han HC, Kong JA, Shin RT (1994) Retrievel of forest biomass from SAR data. Int J Remote Sens 15:2777–2796.CrossRefGoogle Scholar
  9. Benz UC, Hofmann P, Willhauck G, Lingenfelder I, Heynen M (2004) Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. Int J Photogram Remote Sens 58:239–258.CrossRefGoogle Scholar
  10. Bergen KM, Dobson MC (1999) Integration of remotely sensed radar imagery in modeling and mapping of forest biomass and net primary production. Ecol Model 122:257–274.CrossRefGoogle Scholar
  11. Blackburn GA, Milton EJ (1997) An ecological survey of deciduous woodlands using airborne remote sensing and geographical information systems (GIS). Int J Remote Sens 18:1919–1935.CrossRefGoogle Scholar
  12. Bonn A, Storch D, Gaston KJ (2004) Structure of the species-energy relationship. Proc R Soc Lond B Biol Sci 271:1685–1691.CrossRefGoogle Scholar
  13. Bradbury RB, Hill RA, Mason DC, Hinsley SA, Wilson JD, Balzter H, Anderson GCA, Whittingham MJ, Davenport IJ, Bellamy PE (2005) Modelling relationships between birds and vegetation structure using airborne LiDAR data: a review with case studies from agricultural and woodland environments. Ibis 147:443–452.CrossRefGoogle Scholar
  14. Braun CE (2005) Techniques for wildlife investigations and management. The Wildlife Society (TWS), Bethesda, MD.Google Scholar
  15. Burnett C, Blaschke T (2003) A multi-scale segmentation/object relationship modelling methodology for landscape analysis. Ecol Model 168:233–249.CrossRefGoogle Scholar
  16. Campbell JB (2007) Introduction to remote sensing. The Guilford Press, New York.Google Scholar
  17. Cannon RW, Knopf FL, Pettinger LR (1982) Use of Landsat data to evaluate lesser prairie chicken habitat in western Oklahoma. J Wildl Manage 46:915–922.CrossRefGoogle Scholar
  18. Cardillo M, Macdonald DW, Rushton SP (1999) Predicting mammal species richness and distributions: testing the effectiveness of satellite-derived land cover data. Landsc Ecol 14:423–435.CrossRefGoogle Scholar
  19. Carr JR, de Miranda FP (1998) The semivariogram in comparison to the co-occurrence matrix for classification of image texture. IEEE Transact Geosci Remote Sens 36:1945–1952.CrossRefGoogle Scholar
  20. Cohen WB, Goward SN (2004) Landsat's role in ecological applications of remote sensing. Bioscience 54:535–545.CrossRefGoogle Scholar
  21. Cohen WB, Spies TA (1992) Estimating structural attributes of douglas-fir western hemlock forest stands from Landsat and SPOT imagery. Remote Sens Environ 41:1–17.CrossRefGoogle Scholar
  22. Cohen WB, Spies TA, Fiorella M (1995) Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, USA. Int J Remote Sens 16:721–746.CrossRefGoogle Scholar
  23. Cohen WB, Maiersperger TK, Spies TA, Oetter DR (2001) Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data. Int J Remote Sens 22:2279–2310.CrossRefGoogle Scholar
  24. Cohen WB, Maiersperger TK, Gower ST, Turner DP (2003) An improved strategy for regression of biophysical variables and Landsat ETM+ data. Remote Sens Environ 84:561–571.CrossRefGoogle Scholar
  25. Coops NC (2002) Eucalypt forest structure and synthetic aperture radar backscatter: a theoretical analysis. Trees Struct Funct 16:28–46.Google Scholar
  26. Coops NC, Catling PC (1996) Utilising airborne multispectral videography to predict habitat complexity in eucalypt forests for wildlife management. Wildl Res 24:691–702.CrossRefGoogle Scholar
  27. Coops NC, Catling PC (2002) Prediction of the spatial distribution and relative abundance of ground-dwelling mammals using remote sensing imagery and simulation models. Landsc Ecol 17:173–188.CrossRefGoogle Scholar
  28. Coops NC, Wulder MA, White J (2002) Identifying and describing forest disturbance and spatial pattern: data selection issues and methodological implications. Forest disturbance and spatial pattern: remote sensing and GIS approaches. Taylor and Francis, Boca Raton, FL.Google Scholar
  29. Coops NC, Wulder M, White JC (2006) Identifying and describing forest disturbance and spatial pattern: data selection issues and methodological implications. In Wulder M, Franklin SE Forest Disturbance and Spatial Pattern: Remote Sensing and GIS Approaches. Taylor and Francis. CRC Press. pp. 33–60.Google Scholar
  30. Coops NC, Black TA, Jassal, RPS, Trofymow JAT, Morgenstern K (2007) Comparison of MODIS, eddy covariance determined and physiologically modelled gross primary production (GPP) in a Douglas-fir forest stand. Remote Sens Environ 107:385–401.CrossRefGoogle Scholar
  31. Csillag F, Kabos S (2002) Wavelets, boundaries, and the spatial analysis of landscape pattern. Ecoscience 9:177–190.Google Scholar
  32. Cuaron AD (2000) Effects of land-cover changes on mammals in a neotropical region: a modelling approach. Conserv Ecol 14(4):1676–1692.Google Scholar
  33. Currie DJ, Paquin V (1987) Large-scale biogeographical patterns of species richness of trees. Nature 329:326–327.CrossRefGoogle Scholar
  34. Daszak P, Cunningham AA, Hyatt AD (2001) Anthropogenic environmental change and the emergence of infectious diseases in wildlife. Acta Trop 78:103–116.PubMedCrossRefGoogle Scholar
  35. de Bruin S, Hunter GJ (2003) Making the trade-off between decision quality and information cost. Photogram Eng Remote Sens 69:91–98.Google Scholar
  36. Debinski DM, Kindscher K, Jakubauskas ME (1999) A remote sensing and GIS-based model of habitats and biodiversity in the Greater Yellowstone Ecosystem. Int J Remote Sens 20:3281–3291.CrossRefGoogle Scholar
  37. Dechka JA, Franklin SE, Watmough MD, Bennett RP, Ingstrup DW (2002) Classification of wetland habitat and vegetation communities using multi-temporal Ikonos imagery in southern Saskatchewan. Can J Remote Sens 28:679–685.Google Scholar
  38. Dobson MC, Ulaby FT, Pierce LE (1995) Land-cover classification and estimation of terrain attributes using synthetic aperture radar data. Remote Sens Environ 51:199–214.CrossRefGoogle Scholar
  39. 40.
    Dury SJ, Turner BJ, Foley WJ (2001) Can hyperspectral data be used to map koala and possum habitat? Pages 1648–1650 IGARSS 2001.Google Scholar
  40. Elvidge CD (1990) Visible and near-infrared reflectance characteristics of dry plant materials. Int J Remote Sens 11:1775–1795.CrossRefGoogle Scholar
  41. Falco T, Francis F, Lovejoy S, Schertzer D, Kerman B, Drinkwater M (1996) Universal multi-fractal scaling of synthetic aperture radar images of sea-ice. IEEE Trans Geosci Remote Sens 34:906–914.CrossRefGoogle Scholar
  42. Farnsworth ML, Wolfe LL, Hobbs NT, Burnham KP, Williams ES, Theobald DM, Conner MM, Miller WM (2005) Human land use influences chronic wasting disease prevalence in mule deer. Ecol Appl 15:119–126.CrossRefGoogle Scholar
  43. Fassnacht KS, Cohen WB, Spies TA (2006) Key issues in making and using satellite-based maps in ecology: a primer. For Ecol Manage 222:167–181.CrossRefGoogle Scholar
  44. Francis AP, Currie DJ (2003) A globally consistent richness-climate relationship for angiosperms. Am Naturalist 161:523–536.CrossRefGoogle Scholar
  45. Franklin SE (2001) Remote sensing for sustainable forest management. Lewis Publishers, New York.Google Scholar
  46. Franklin SE, McDermid GJ (1993) Empirical relations between digital SPOT HRV and CASI spectral response and lodgepole pine (Pinus contorta) forest stand parameters. Int J Remote Sens 14:2331–2348.CrossRefGoogle Scholar
  47. Franklin J, Woodcock CE (1997) Multiscale vegetation data for the mountains of southern California. Pages 141–168 in D. A. Quattrochi and M. F. Goodchild, editors. Scale in Remote Sensing and GIS. Lewis Publishers, New York.Google Scholar
  48. Franklin SE, Wulder MA (2002) Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas. Prog Phys Geog 26:173–205.CrossRefGoogle Scholar
  49. Franklin SE, Wulder MA, Gerylo GR (2001) Texture analysis of IKONOS panchromatic data for Douglas-fir forest age class separability in British Columbia. Int J Remote Sens 22:2627–2632.CrossRefGoogle Scholar
  50. Fuller RM, Cox R, Clarke RT, Rothery P, Hill RA, Smith GM, Thomson AG, Brown NJ, Howard DC, Stott AP (2005) The UK land cover map 2000: planning, construction and calibration of a remotely sensed, user-oriented map of broad habitats. Int J Appl Earth Obs Geoinform 7:202–216.CrossRefGoogle Scholar
  51. Gillespie TW (2001) Remote sensing of animals. Prog Phys Geogr 25:355–362.Google Scholar
  52. Gong P, Howarth PJ (1992) Frequency-based contextual classification and gray-level vector reduction for land-use identification. Photogram Eng Remote Sens 58:423–437.Google Scholar
  53. Gottschalk T, Huettmann F (2006) Thirty years of analyzing and modeling avian habitat relationships using satellite imagery data: a review. J Ornith 147:175–175.Google Scholar
  54. Graetz RD (1990) Remote sensing of terrestrial ecosystem structure. in R. J. Hobbs and H. A. Mooney, editors. Remote Sensing of Biosphere Functioning. Springer-Verlag, New York.Google Scholar
  55. Greegor DH (1986) Ecology from space. Bioscience 36:429–432.CrossRefGoogle Scholar
  56. Groom GB, Fuller RM, Jones AR (1996) Contextual correction: techniques for improving land cover mapping from remotely sensed images. Int J Remote Sens 17:69–89.CrossRefGoogle Scholar
  57. Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147–186.CrossRefGoogle Scholar
  58. Hall RJ (2003) The role of aerial photographs in forestry remote sensing image analysis. in MA Wulder and SE Franklin, editors. Remote Sensing of Forest Environments: Concepts and Case Studies. Kluwer Academic Publishers, Norwell, MA, pp 47–77.Google Scholar
  59. Hall FG, Peddle DR, Ledrew EF (1996) Remote sensing of biophysical variables in boreal forest stands of Picea mariana. Int J Remote Sens 17:3077–3081.CrossRefGoogle Scholar
  60. Harestad AS, Bunnell FL (1979) Home range and body-weight — re-evaluation. Ecology 60:389–402.CrossRefGoogle Scholar
  61. Hatten JR, Paradzick CE (2003) A multiscaled model of southwestern willow flycatcher breeding habitat. J Wildl Manage 67:774–788.CrossRefGoogle Scholar
  62. Hawkins BA, Field R, Cornell HV, Currie DJ, Guegan JF, Kaufman DM, Kerr JT, Mittelbach GG, Oberdorff T, O'Brien EM, Porter EE, Turner JRG (2003) Energy, water, and broad-scale geographic patterns of species richness. Ecology 84:3105–3117.CrossRefGoogle Scholar
  63. Hay GJ, Dube P, Bouchard A, Marceau DJ (2002) A scale-space primer for exploring and quantifying complex landscapes. Ecol Model 153:27–49.CrossRefGoogle Scholar
  64. Heinz DC, Chang CI (2001) Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery. IEEE Trans Geosci Remote Sens 39:529–545.CrossRefGoogle Scholar
  65. Henebry GM, Kux HJH (1995) Lacunarity as a texture measure for SAR imagery. Int J Remote Sens 16:565–571.CrossRefGoogle Scholar
  66. Herr AM, Queen LP (1993) Crane habitat evaluation using GIS and remote sensing. Photogrammetric Engineering and Remote Sensing 59:1531–1538.Google Scholar
  67. Hill M (2004) Grazing agriculture: managed pasture, grassland, and rangeland. Pages 449–529 in S. Ustin, editor. Remote Sensing for Natural Resource Management and Environmental Monitoring. John Wiley & Sons, Hoboken, NJ.Google Scholar
  68. Hoekman DH, Quinones MJ (2000) Land cover type and biomass classification using AirSAR data for evaluation of monitoring scenarios in the Colombian Amazon. IEEE Trans Geosci Remote Sens 38:685–696.CrossRefGoogle Scholar
  69. Huang ZXJ, Turner B, Foley W, Dury S (2002) Use of HYMAP image data to estimate sideroxy-lonal-A concentration of eucalypt foliage. Pages 1652–1654 IGARSS 2002.Google Scholar
  70. Huber TP, Casler KE (1990) Initial analysis of Landsat TM data for elk habitat mapping. Int J Remote Sens 11:907–912.CrossRefGoogle Scholar
  71. Huete A, Justice C, Liu H (1994) Development of vegetation and soil indexes from MODIS-EOS. Remote Sens Environ 49:224–234.CrossRefGoogle Scholar
  72. Hyde P, Dubayah R, Walker W, Blair JB, Hofton M, Hunsaker C (2006) Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM plus, Quickbird) synergy. Remote Sens Environ 102:63–73.CrossRefGoogle Scholar
  73. Imhoff ML (1995) A theoretical analysis of the effect of forest structure on synthetic aperture radar backscatter and the remote sensing of biomass. IEEE Trans Geosci Remote Sens 33:341–352CrossRefGoogle Scholar
  74. Imhoff ML, Sisk TD, Milne A, Morgan G, Orr T (1997) Remotely sensed indicators of habitat heterogeneity: use of synthetic aperture radar in mapping vegetation structure and bird habitat. Remote Sens Environ 60:217–227.CrossRefGoogle Scholar
  75. Jia GJ, Burke IC, Goetz AFH, Kaufmann MR, Kindel BC (2006) Assessing spatial patterns of forest fuel using AVIRIS data. Remote Sens Environ 102:318–327.CrossRefGoogle Scholar
  76. Jorgensen AF, Nohr H (1996) The use of satellite images for mapping of landscape and biological diversity in the Sahel. Int J Remote Sens 17:91–109.CrossRefGoogle Scholar
  77. Jupp DL, Strahler AH, Woodcock CE (1988) Autocorrelation and regularization in digital images: I. Basic theory. IEEE Trans Geosci Remote Sens 26:463–473.CrossRefGoogle Scholar
  78. Jupp DL, Strahler AH, Woodcock CE (1989) Autocorrelation and regularization in digital images: II. Simple image models. IEEE Trans Geosci Remote Sens 27:247–258.CrossRefGoogle Scholar
  79. Kasischke ES, Melack JM, Dobson MC (1997) The use of imaging radars for ecological applications — a review. Remote Sens Environ 59:141–156.CrossRefGoogle Scholar
  80. Kawamura K, Akiyama T, Yokota H, Tsutsumi M, Yasuda T, Watanabe O, Wang G, Wang S (2005) Monitoring of forage conditions with MODIS imagery in the Xilingol steppe, Inner Mongolia. Int J Remote Sens 26:1423–1436.CrossRefGoogle Scholar
  81. Kay JJ (1991) A nonequilibrium thermodynamic framework for discussing ecosystem integrity. Environ Manage 15:483–495.CrossRefGoogle Scholar
  82. Kristensen TK, Malone JB, McCarroll JC (2001) Use of satellite remote sensing and geographic information systems to model the distribution and abundance of snail intermediate hosts in Africa: a preliminary model for Biomphalaria pfeifferi in Ethiopia. Acta Trop 79:73–78.PubMedCrossRefGoogle Scholar
  83. Leathwick JR, Burns BR, Clarkson BD (1998) Environmental correlates of tree alpha-diversity in New Zealand primary forests. Ecography 21:235–246.CrossRefGoogle Scholar
  84. Lefsky MA, Cohen WB (2003) Selection of remotely sensed data. Pages 13–46 in M. A. Wulder and S. E. Franklin, editors. Remote Sensing of Forest Environments: Concepts and Case Studies. Kluwer Academic Publishers, Norwell, MA.Google Scholar
  85. Leimgruber P, Christen CA, Laborderie A (2005) The impact of Landsat satellite monitoring on conservation biology. Environ Monit Assess 106:81–101.PubMedCrossRefGoogle Scholar
  86. Levesque J, King DJ (2003) Spatial analysis of radiometric fractions from high-resolution multi-spectral imagery for modelling individual tree crown and forest canopy structure and health. Remote Sens Environ 84:589–602.CrossRefGoogle Scholar
  87. Lewis M (2003) Inventing global ecology: tracking the Biodiversity Ideal in India 1945–1997. Orient Longman, New Delhi.Google Scholar
  88. Luckman A, Baker J, Kuplich TM, Yanasse CDF, Frery AC (1997) A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR instruments. Remote Sens Environ 60:1–13.CrossRefGoogle Scholar
  89. Lunetta RS, Elvidge C (1998) Remote sensing change detection: enviromental monitoring methods and applications. Ann Arbor Press, Chelsea, MI.Google Scholar
  90. Luoto M, Virkkala R, Heikkinen RK, Rainio K (2004) Predicting bird species richness using remote sensing in boreal agricultural-forest mosaics. Ecol Appl 14:1946–1962.CrossRefGoogle Scholar
  91. Majumdar SK, Huffman JE, Brenner F, Panah AI (2005) Wildlife diseases: landscape epidemiology, spatial distribution, and utilization of remote sensing technology. Pennsylvania Academy of Sciences, Easton, PA.Google Scholar
  92. Mason DC, Anderson GCA, Bradbury RB, Cobby DM, Davenport LJ, Vandepoll M, Wilson DJ (2003) Measurement of habitat predictor variables for organism-habitat models using remote sensing and image segmentation. Int J Remote Sens 24:2515–2532.CrossRefGoogle Scholar
  93. McDermid GJ, Franklin SE, LeDrew EF (2005) Remote sensing for large-area habitat mapping. Prog Phys Geogr 29:449–474.CrossRefGoogle Scholar
  94. McIlwee AM, Lawler IR, Cork SJ, Foley WJ (2001) Coping with chemical complexity in mammal-plant interactions: near-infrared spectroscopy as a predictor of Eucalyptus foliar nutrients and of the feeding rates of folivorous marsupials. Oecologia 128:539–548.CrossRefGoogle Scholar
  95. Michaelsen J, Schimel DS, Friedl MA, Davis FW, Dubayah RC (1994) Regression tree analysis of satellite and terrain data to guide vegetation sampling and surveys. J Veg Sci 5:673–686.CrossRefGoogle Scholar
  96. Miller K V, Conroy MJ (1990) SPOT satellite imagery for mapping Kirtland's Warbler wintering habitat in the Bahamas. Wildl Soc Bull 18:252–257.Google Scholar
  97. Nelson R, Keller C, Ratnaswamy M (2005) Locating and estimating the extent of Delmarva fox squirrel habitat using an airborne LiDAR profiler. Remote Sens Environ 96:292–301.CrossRefGoogle Scholar
  98. Nielsen SE, Stenhouse GB, Boyce MS (2006) A habitat-based framework for grizzly bear conservation in Alberta. Biol Conserv 130:217–229.CrossRefGoogle Scholar
  99. Nilsen EB, Herfindal I, Linnell JDC (2005) Can intra-specific variation in carnivore home-range size be explained using remote-sensing estimates of environmental productivity? Ecoscience 12:68–75.CrossRefGoogle Scholar
  100. Norris KH, Barnes RF, Moore JE, Shenk JS (1976) Predicting forage quality by infrared reflectance spectroscopy. J Anim Sci 43:889–897.Google Scholar
  101. Oindo BO, Skidmore AK, De Salvo P (2003) Mapping habitat and biological diversity in the Maasai Mara ecosystem. Int J Remote Sens 24:1053–1069.CrossRefGoogle Scholar
  102. Palmeirim JM (1988) Automatic mapping of avian species habitat using satellite imagery. Oikos 52:59–68.CrossRefGoogle Scholar
  103. Parkinson CL, Greenstone R (2000) EOS Data Products Handbook. NASA/Godard Space Flight Center, Greenbelt, MD.Google Scholar
  104. Peery MZ, Gutierrez RJ, Seamans ME (1999) Habitat composition and configuration around Mexican spotted owl nest and roost sites in the Tularosa Mountains, New Mexico. J Wildl Manage 63:36–43.CrossRefGoogle Scholar
  105. Phinn SR, Stow DA, Franklin J, Mertes LAK, Michaelsen J (2003) Remotely sensed data for ecosystem analyses: combining hierarchy theory and scene models. Environ Manage 31:429–441.PubMedCrossRefGoogle Scholar
  106. Plummer SE (2000) Perspectives on combining ecological process models and remotely sensed data. Ecol Model 129:169–186.CrossRefGoogle Scholar
  107. Ramanujan K (2004) New tools for conservation. Earth Observatory. accessed January 6, 2008.
  108. Rauste Y, Hame T, Pulliainen J, Heiska K, Hallikainen M (1994) RADAR-based forest biomass estimation. Intl J Rem Sens 15:2797–2808.CrossRefGoogle Scholar
  109. Richards JA, Jia X (2006) Remote sensing digital image analysis: an introduction. Fourth Edition. Springer-Verlag, Berlin.Google Scholar
  110. Roberts DA, Smith MO, Sabol DE, Adams JB, Ustin S (1992) Mapping the spectral variability in photosynthetic and non-photosynthetic vegetation, soils, and shade using AVIRIS. Summaries of the Third Annual JPL Airborne Geoscience Workshop, Pasadena, CA, 92–14, 38–40.Google Scholar
  111. Robinson IS (1985) Satellite oceanography, Chinchester, England.Google Scholar
  112. Rodriguez MA, Belmontes JA, Hawkins BA (2005) Energy, water and large-scale patterns of reptile and amphibian species richness in Europe. Acta Oecologica Int J Ecol 28:65–70.CrossRefGoogle Scholar
  113. Rotunno OC, Treitz PM, Soulis ED, Howarth PJ, Kouwen N (1996) Texture processing of synthetic aperture radar data using second-order spatial statistics. Comput Geosci 22:27–34.CrossRefGoogle Scholar
  114. Sharma KMS, Sarkar A (1998) Modified contextual classification technique for remote sensing data. Photogram Eng Remote Sens 64:273–280.Google Scholar
  115. Skidmore AK, Oindo BO, Said MY (2003). Biodiversity assessment by remote sensing. Proceedings of the 30th International Symposium on Remote Sensing of the Environment: Information for Risk Management and Sustainable Development.Google Scholar
  116. St-Onge BA, Cavayas F (1997) Automated forest structure mapping from high resolution imagery based on directional semivariogram estimates. Remote Sens Environ 61:82–95.CrossRefGoogle Scholar
  117. Stow DA, Hope A, McGuire D, Verbyla D, Gamon J, Huemmrich J, Houston S, Racine C, Sturm M, Tape K, Hinzman L, Yoshikawa K, Tweedie C, Noyle B, Silapaswan C, Douglas D, Griffith B, Jia G, Epstein H, Walker S, Daeschner S, Petersen A, Zhou LM, Myneni R (2004) Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems. Remote Sens Environ 89:281–308.CrossRefGoogle Scholar
  118. Stow D, Petersen A, Hope A, Engstrom R, Coulter L (2007) Greenness trends of Arctic tundra vegetation in the 1990s: comparison of two NDVI data sets from NOAA AVHRR systems. Int J Remote Sens 28:4807–4822.CrossRefGoogle Scholar
  119. Strahler AH, Woodcock CE, Smith JA (1986) On the nature of models in remote sensing. Remote Sens Environ 20:121–139.CrossRefGoogle Scholar
  120. Thogmartin WE, Gallant AL, Knutson MG, Fox TJ, Suarez J (2004) Commentary: a cautionary tale regarding use of the National Land Cover Dataset 1992. Wildl Soc Bull 32:970–978.CrossRefGoogle Scholar
  121. Torgersen CE, Price DM, Li HW, McIntosh BA (1999) Multiscale thermal refugia and stream habitat associations of chinook salmon in northeastern Oregon. Ecol Appl 9:301–319.CrossRefGoogle Scholar
  122. Turner CL, Seastedt TR, Dyer ML, Kittel TGF, Schimel DS (1992) Effects of management and topography on the radiometric response of a tallgrass prairie. J Geophys Res Atmos 97:18855– 18866.Google Scholar
  123. van Bommel FPJ, Heitkonig IMA, Epema GPF, Ringrose S, Bonyongo C, Veenendaal EM (2006) Remotely sensed habitat indicators for predicting distribution of impala (Aepyceros melampus) in the Okavango Delta, Botswana. J Trop Ecol 22:101–110.CrossRefGoogle Scholar
  124. Verlinden A, Masogo R (1997) Satellite remote sensing of habitat suitability for ungulates and ostrich in the Kalahari of Botswana. J Arid Environ 35:563–574.CrossRefGoogle Scholar
  125. Waller JS, Mace RD (1997) Grizzly bear habitat selection in the Swan Mountains, Montana. J Wildl Manage 61:1032–1039.CrossRefGoogle Scholar
  126. Wallin DO, Elliott CCH, Shugart HH, Tucker CJ, Wilhelmi F (1992) Satellite remote sensing of breeding habitat for an African weaverbird. Landsc Ecol 7:87–99.CrossRefGoogle Scholar
  127. Wessman CA, Bateson CA, Benning TL (1997) Detecting fire and grazing patterns in tallgrass prairie using spectral mixture analysis. Ecol Appl 7:493–511CrossRefGoogle Scholar
  128. Woodcock C, Harward VJ (1992) Nested-hierarchical scene models and image segmentation. Int J Remote Sens 13:3167–3187.CrossRefGoogle Scholar
  129. Woodcock CE, Allen R, Anderson M, Belward A, Bindschadler R, Cohen W, Gao F, Goward SN, Helder D, Helmer E et al. (2008) Free access to Landsat imagery. Science 320:1011–1011.PubMedCrossRefGoogle Scholar
  130. Wulder M (1998) Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters. Prog Phys Geogr 22:449–476.Google Scholar
  131. Wulder MA, LeDrew EF, Franklin SE, Lavigne MB (1998) Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI). Remote Sens Environ 64:64–76.CrossRefGoogle Scholar
  132. Wulder MA, Dechka JA, Gillis MA, Luther JE, Hall RJ, Beaudoin A (2003) Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program. For Chron 79:1075–1083.Google Scholar
  133. Wulder MA, Hall RJ, Coops NC, Franklin SE (2004) High spatial resolution remotely sensed data for ecosystem characterization. Bioscience 54:511–521.CrossRefGoogle Scholar
  134. Yanasse CCF, Sant'Anna SJS, Frery AC, Renno CD, Soares J V, Luckman AK (1997) SIR-C dependence on tropical forest regeneration stages. Remote Sens Environ 59:180–190.CrossRefGoogle Scholar
  135. Zimble DA, Evans DL, Carlson GC, Parker RC, Grado SC, Gerard PD (2003) Characterizing vertical forest structure using small-footprint airborne LiDAR. Remote Sens Environ 87:171–182.CrossRefGoogle Scholar
  136. Ortega-Huerta MA, Medley KE (1999) Landscape analysis of jaguar (Panthera onca) habitat using sighting records in the Sierra de Tamaulipas, Mexico. Environ Conserv 26(4):257–269.CrossRefGoogle Scholar

Copyright information

© Springer 2010

Authors and Affiliations

  • Gregory J. McDermid
    • 1
  • Nicholas C. Coops
    • 2
  • Michael A. Wulder
    • 3
  • Steven E. Franklin
    • 4
  • Nicole E. Seitz
    • 3
  1. 1.Department of GeographyUniversity of CalgaryCalgaryCanada
  2. 2.Department of Forest Resource ManagementUniversity of British ColumbiaVancouverCanada
  3. 3.Canadian Forest Service (Pacific Forestry Centre)Natural Resources CanadaVictoriaCanada
  4. 4.Department of GeographyTrent UniversityPeterboroughCanada

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