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References

  • Asrar G. (1989) Theory and Applications of Optical Remote Sensing. John Wiley & Sons, New York.
  • Austin M. P., Cunningham R. B. and Fleming P. M. (1984) New approaches to direct gradient analysis using environmental scalars and statistical curve-fitting procedures. Vegetatio 55, 1127.
  • Brieman L., Friedman J. H., Olshen R. A. and Stone C. J. (1984) Classification and Regression Trees. Wadsworth and Brooks Press, Belmont, California.
  • Brown L., Chen J. M., Leblanc S. G. and Cihlar J. (2000) A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: An image and model analysis. Remote Sensing of Environment 71, 1625.
  • Cawsey E. M., Austin M. P. and Baker B. L. (2002) Regional vegetation mapping in Australia: A case study in the practical use of statistical modelling. Biodiversity and Conservation 11, 22392274.
  • Clark L. A. and Pregibon D. (1992) Tree-based models. In: Statistical Models (eds S. J. M.Chamber and T. J.Hastie), pp. 377419. Wadsworth and Brooks, Cole Pacific Grove, Australia.
  • Clarke M. F. and Schedvin N. (1999) Removal of bell miners Manorina melanophrys from Eucalyptus radiata forest and its effect on avian diversity, psyllids and tree health. Biological Conservation 88, 111120.
  • Coops N. C., Goodwin N., Stone C. and Sims N. (2006) Application of narrow-band digital camera imagery to plantation canopy condition assessment. Canadian Journal of Remote Sensing 32, 114.
  • Dirnböck T., Hobbs R. J., Lambeck R. J. and Caccetta P. A. (2002) Vegetation distribution in relation to topographically driven processes in southwestern Australia. Applied Vegetation Science 5, 147158.
  • Ferretti M. (1997) Forest health assessment and monitoring – Issues for consideration. Environmental Monitoring and Assessment 48, 4572.
  • Franklin S. E., Waring R. H., McCreight R. W., Cohen W. B. and Fiorella M. (1995) Aerial and satellite sensor detection and classification of western spruce budworm defoliation in subalpine forests. Canadian Journal of Remote Sensing 21, 299308.
  • Grimes R. J. (1978) Crown Assessment of Natural Spotted Gum (Eucalyptus maculata) Ironbark (E. fibrosa, E. drepanophylla) Forest. Technical Paper No. 7. Queensl and Forest Service, Brisbane.
  • Guyot G., Guyon D. and Riom J. (1989) Factors affecting the spectral response of forest canopies: A review. Geocarto International 3, 318.
  • Hall R. J., Fernandes R. A., Hogg E. H. et al. (2003) Relating aspen defoliation to changes in leaf area derived from field and satellite remote sensing data. Canadian Journal of Remote Sensing 29, 299313.
  • Haralick R. M. (1979) Statistical and structural approaches to texture. Proceedings of the IEEE 67, 786804.
  • Kile G. A., Turnbull C. R. A. and Podger F. D. (1981) Effect of ‘regrowth dieback’ on some properties of Eucalyptus obliqua trees. Australian Forest Research 11, 5562.
  • Lovell J. L., Jupp D. L. B., Culvenor D. S. and Coops N. C. (2003) Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests. Canadian Journal of Remote Sensing 29, 607622.
  • McElhinny C., Gibbons P., Brack C. and Bauhus J. (2005) Forest and woodland stand structural complexity: Its definition and measurement. Forest Ecology and Management 218, 124.
  • Moskal L. M. and Franklin S. E. (2004) Relationship between airborne multispectral image texture and aspen defoliation. International Journal of Remote Sensing 20, 27012711.
  • National Forest Inventory (2003) Australia's State of the Forest Report 2003. Bureau of Rural Sciences, Canberra.
  • Parkes D., Newell G. and Cheal D. (2003) Assessing the quality of native vegetation: The ‘habitat hectares’ approach. Ecological Management & Restoration 4, S29S38.
  • Preston R., Culvenor D. and Coops N. C. (1998) Modelling of tree species and structural attributes from high multi-spectral imagery using decision tree analysis for east coast Eucalypt forests of Australia. In: Proceedings of International Forum on the Automated Interpretation of High Spatial Resolution Digital Imagery, February 10–12, Victoria, British Columbia (eds D. A.Hill and D. G.Leckie), pp. 225242. Canadian. Forest Service, Pacific Forestry Centre, Victoria.
  • Pu R., Yu Q., Gong P. and Biging G. S. (2005) EO-1 Hyperion, ALI and Landsat 7 ETM+ data comparison for estimating forest crown closure and leaf area index. International Journal of Remote Sensing 26, 457474.
  • Rapport D., Costanza R., Epstein P. R., Gaudet C. and Levins R. (1998) Ecosystem Health. Blackwell Science Inc, Boston, Massachussetts.
  • Skidmore A. K., Turner B. J., Brinkhof W. and Knowles E. (1997) Performance of a neural network: mapping forests using GIS and remotely sensed data. Photogrammetric Engineering and Remote Sensing 63, 501514.
  • Spanner M. A., Pierce L. L., Peterson D. L. and Running S. W. (1990) Remote sensing of temperate coniferous forest leaf area index. The influence of canopy closure, understory vegetation and background reflectance. International Journal of Remote Sensing 11, 95111.
  • Stone C. (1996) The role of psyllids (Hemiptera: Psyllidae) and bell miners (Manorina melanophrys) in canopy dieback of Sydney blue gum (Eucalyptus saligna Sm.). Australian Journal of Ecology 21, 450458.
  • Stone C. (1999) Assessment and monitoring of decline and dieback of forest eucalypts in relation to ecologically sustainable forest management: a review with a case study. Australian Forestry 62, 5158,.
  • Stone C. (2005) Bell miner associated dieback at the tree crown scale: a multi-trophic process. Australian Forestry 68, 237241.
  • Stone C. and Coops N. C. (2004) Assessment and monitoring damage from insects in Australian native forest and plantations. Australian Journal of Entomology 43, 283292.
  • Stone C., Coops N. and Culvenor D. (2000) Conceptual development of a eucalypt canopy condition index using high-resolution spatial and spectral remote sensing imagery. Journal of Sustainable Forestry 11, 2345.
  • Stone C., Matsuki M. and Carnegie A. (2003a) Pest and Disease Assessment in Young Eucalypt Plantations: Field Manual for Using the Crown Damage Index (ed. M.Parsons). National Forest Inventory, Bureau of Rural Sciences, Canberra.
  • Stone C., Wardlaw T., Floyd R., Carnegie A., Wylie R. and De Little D. (2003b) Harmonisation of methods for the assessment and reporting of forest health in Australia – A starting point. Australian Forestry 66, 233245.
  • US Department of Agriculture Forest Service (2002) Forest Inventory and Analysis: National Core Field Guide, 1: Field Data Collection Procedures for Phase 2 Plots, Version 1.6. US Department of Agriculture Forest Service, Forest Inventory and Analysis, Washington, DC. Available from URL: http://www.fia.fs.fed.us/library.htm#Manuals.
  • Vollenweider P. and Günthardt-Goerg M. S. (2005) Diagnosis of abiotic and biotic stress factors using the visible symptoms in foliage. Environmental Pollution 137, 455465.
  • Wardell-Johnson G., Stone C., Recher H. and Lynch A. J. J. (2005) A review of eucalypt dieback associated with bell miner habitat in south-eastern Australia. Australian Forestry 68, 231236.
  • Wardlaw T. J. (1989) Management of Tasmanian forests affected by regrowth dieback. New Zealand Journal of Forestry Science 19, 265276.
  • Wulder M. A., Dymond C. C., White J. C., Leckie D. G. and Carroll A. L. (2006) Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities. Forest Ecology and Management 221, 2741.
  • Zarnoch S. J., Bechtold W. A. and Stolte K. W. (2004) Using crown condition variables as indicators of forest health. Canadian Journal of Forest Research 34, 10571070.