Conceptual development of a eucalypt canopy condition index using high resolution spatial and spectral remote sensing imagery

Journal of Sustainable Forestry

Volumn 11, Issue 4, 2000, Pages 23-45

  Stone, Christine ^a   Coops, Nicholas ^b   Culvenor, Darius ^b  

^a Forest Research and Development Division   (Australia)

^b CSIRO   (Australia)

Author keywords

Eucalypt canopy condition; Forest health indicator; Remote sensing

Indexed keywords

EID: 0003357853     PISSN: 10549811     EISSN: 1540756X     Source Type: Journal    
DOI: 10.1300/J091v11n04_02     Document Type: Article

References (75)

1. Ahern, F.J. 1988. The effects of bark beetle stress on the foliar spectral reflectance of lodgepole pine. International Journal of Remote Sensing 9: 1451-1468.
2. Blackburn, G.A. 1998. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves. International Journal of Remote Sensing 19: 657-675.
3. Breckenridge, R.P. and W.G. Kepner. 1995. A process for selecting indicators for monitoring conditions of rangeland health. Environmental Monitoring and Assessment 36: 45-60.
4. Carter, G.A. 1994. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. International Journal of Remote Sensing 15: 697-703.
5. Carter, G.A., W.G. Cibula and R.L. Miller. 1996. Narrow-band reflectance imagery compared with thermal imagery for early detection of plant stress. Journal of Plant Physiology 148: 515-522.
6. Commonwealth of Australia 1998. A framework of regional (sub-national) level criteria and indicators of sustainable forest management in Australia. Pirie Printers, Canberra, Australia.
7. Coops, N.C. and P.C. Catling. 1997. Predicting the complexity of habitat in forests from airborne videography for wildlife management. International Journal of Remote Sensing 18: 2677-2686.
8. Coops, N.C, A. Delahaye, E. Pook. 1997. Estimation of eucalypt forest leaf area index on the south coast of New South Wales using Landsat MSS data. Australian Journal of Botany 45: 757-769.
9. Coops, N.C., D. Culvenor, R. Preston and P.C. Catling. 1998. Procedures for predicting habitat and structural attributes in eucalypt forests using high spatial resolution remotely sensed imagery. Australian Forestry 61: 244-252.
10. Costanza, R. 1992. Toward an operational definition of health. In: Costanza, R., Norton, B., Haskell, B. (eds.), Ecosystem Health--New Goals for Environmental Management. Island Press, Washington, DC.
11. Culvenor D., N.C. Coops, R. Preston and K. Tolhurst. 1999. A spatial clustering approach to automated crown delineation. In: D.A. Hill and D.G. Leckie (eds.), International Forum: Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry. Proceedings of a symposium held at Victoria, BC, Canada, 10-12 Feb., 1998. Canadian Forest Service, Pacific Forestry Center, Victoria, BC. pp. 11-23.
12. Curran, P.J. 1988. The semivariogram in remote sensing: an introduction. Remote Sensing of Environment 24: 493-507.
13. Curran, P.J., J.L. Dungan and H.L. Gholz. 1992. Seasonal LAI in slash pine estimated with Landsat TM. Remote Sensing of Environment 39: 3-13.
14. Curran, P.J., W.R. Windham and H.L. Gholz. 1995. Exploring the relationship between reflectance red edge and chlorophyll concentration in slash pine leaves. Tree Physiology 15: 203-206.
15. Dendron Resource Surveys Inc. 1997. Bioindicators of forest health and sustainability: Review report and project implementation strategies. Forest Research Information Paper no. 138. 101 p. Ontario Forest Research Institute. Ontario, Canada.
16. Ekstand, S. 1994. Assessment of forest damage with Landsat TM: Correction for varying forest stand characteristics. Remote Sensing of the Environment 47: 291-302.
17. Everitt, J.H., J.V Richerson, J.P. Karges and M.R. Davis. 1997. Using remote sensing to detect and monitor a western pine beetle infestation in west Texas. Southwestern Entomologist 22: 285-292.
18. Ferretti, M. 1997. Forest health assessment and monitoring--Issues for consideration. Environmental Monitoring and Assessment 48: 45-72.
19. Filella, I. and J. Peñuelas. 1994. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing 15: 1459-1470.
20. Fournier, M., G. Edwards and N.R. Eldridge. 1995. A catalogue of potential spatial discriminators for high spatial resolution digital images of individual crowns. Canadian Journal of Remote Sensing 21: 285-297.
21. Franklin, S.E. and A.G. Raske. 1994. Satellite remote sensing of spruce budworm forest defoliation in western Newfoundland. Canadian Journal of Remote Sensing 20: 37-48.
22. Franklin, S.E., M.A. Wulder and M.B. Lavigne. 1996. Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis. Computers and Geosciences 22: 665-673.
23. Gitelson, A.A. and M.N. Merzlyak. 1996. Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll. Journal of Plant Physiology 148: 494-500.
24. Gougeon, F.A. 1999. Automated individual tree crown delineation using a valley--following algorithm and rule-based system. In: D.A. Hill and D.G. Leckie (eds.), International Forum: Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry. Proceedings of a symposium held at Victoria, BC, Canada, 10-12 Feb., 1998. Canadian Forest Service, Pacific Forestry Center, Victoria, BC. pp. 11-23.
25. Guyot, G., D. Guyon, and J. Riom. 1989. Factors affecting the spectral response of forest canopies: A review. Geocarto 3: 3-18.
26. Hall, R.J., P.H. Crown, S.J. Titus and W.J.A. Volney. 1995. Evaluation of Landsat thematic mapper data for mapping top kill caused by jack pine budworm defoliation. Canadian Journal of Remote Sensing 21: 388-399.
27. Innes, J.L. 1993. Methods to estimate forest health. Silva Fennica 27: 145-157.
28. Iverson, L.R., R.L. Graham and E.A. Cook. 1989. Applications of satellite remote sensing to forest ecosystems. Landscape Ecology 3: 131-143.
29. Jenkins, A.F. 1997. Forest health--a crisis of human proportions. Journal of Forestry 95: 11-14.
30. King, D. J. 1991. Determination and reduction of cover type brightness variations with view angle in airborne multispectral video imagery. Photogrammetric Engineering and Remote Sensing 57: 1571-77.
31. King, D.J. 1995. Airborne multispectral digital camera and video sensors: a critical review of system designs and applications. Canadian Journal of Remote Sensing, Special Issue on Aerial Optical Remote Sensing 21: 245-273.
32. Kolb, T.E., M.R. Wagner and W.W. Covington. 1994. Concepts of forest health, utilitarian and ecosystem perspectives. Journal of Forestry 92: 10-15.
33. Landsberg, J. 1988. Dieback of rural eucalypts: Tree phenology and damage caused by leaf-feeding insects. Australian Journal of Ecology 13: 251-267.
34. Landsberg, J. and F.R. Wylie. 1988. Dieback of rural trees in Australia. GeoJournal 17: 231-237.
35. Law, B.E. and R.H. Waring. 1994. Remote sensing of seasonal leaf area index and radiation intercepted by understorey vegetation. Ecological Applications 4: 272-279.
36. Leckie, D.G., D.P. Ostaff, P.M. Teiller and G. Fedosjevs. 1989. Spectral characteristics of tree components of balsam fir and spruce damaged by spruce budworm. Forest Science 35: 582-600.
37. Leckie, D.G., X. Yuan, D.P. Ostaff, H. Piene and D.A. MacLean. 1992. Analysis of high resolution multispectral MEIS imagery for spruce budworm damage assessment on a single tree basis. Remote Sensing of Environment 40: 125-136.
38. Lévesque, J. and D.J. King. 1999. Airborne digital camera image semivariance for evaluation of forest structural damage at an acid mine site. Remote Sensing of Environment 68: 112-124.
39. Lichtenthaler, H.K. 1996. Vegetation stress: an introduction to the stress concept in plants. Journal of Plant Physiology 148: 4-14.
40. Lichtenthaler, H.K. and J.A. Miehé. 1997. Fluorescence imaging as a diagnostic tool for plant stress. Trends in Plant Science 2: 316-320.
41. Lichtenthaler, H.K. and U. Rinderle. 1988. Chlorophyll fluorescence signatures as vitality indicators in forest decline research. In: H.K. Lichtenthaler (ed.), Applications of Chlorophyll Fluorescence. Kluwer Academic Publishers. pp. 143-149.
42. Mageau M.T., R. Costanza and R.E. Ulanowicz. 1995. The development and initial testing of a quantitative assessment of ecosystem health. Ecosystem Health 1: 201-213.
43. McGraw, J.B., T.A. Warner, T.L. Key and W.R. Lamar. 1998. High spatial resolution remote sensing of forest trees. Tree 13: 300-301.
44. Mohammed, G.H., W.D. Binder and S.L. Gillies. 1995. Chlorophyll fluorescence: A review of its practical forestry applications and instrumentation. Scandinavian Journal of Forest Research 10: 383-410.
45. Mohammed, G.H., P.H. Sampson, S.J. Colombo, T.L. Noland and J.R. Miller. 1997. Bioindicators of forest sustainability: Development of a forest condition rating system for Ontario. Forest Research Information Paper no.137. Ontario Forest Research Institute. 22 p.
46. Moulton, J.E., S.E. Franklin and J. Hudak. 1990. Foliar biomass estimates from satellite imagery for balsam fir stands defoliated by the hemlock looper. Proceedings of the Thirteenth Canadian Symposium on Remote Sensing. Fredericton, N.B. Canada, 16-19 July 1990, pp. 350-357.
47. Niemann, K.O. 1995. Remote sensing of forest stand age using airborne spectrometer data. Photogrammetric Engineering and Remote Sensing 61:1119-1127.
48. Old, K.M., R. Gibbs, I. Craig, B.J. Myers and Z.Q. Yuan. 1990. Effect of drought and defoliation on the susceptibility of eucalypts to cankers caused by Endothia gyrosa and Botryosphaeria ribis. Australian Journal of Botany 38: 571-581.
49. Olthof, I. and D.J. King. 1997. Evaluation of textural information in airborne CIR digital camera imagery for estimation of forest stand leaf area index. Proceedings first North American Symposium on Small Format Aerial Photography (American Society of Photogrammetry and Remote Sensing), Cloquet, MN, Canada, 14-17 Oct.1997, pp. 154-164.
50. Olthof, I. and D.J. King 1999. Determination of soil property and forest structure relations with airborne digital camera image spectral and spatial information. Canadian Journal of Remote Sensing. In press.
51. Peterson, D.L., M.A. Spanner, S.W. Running and K.B. Teuber. 1987. Relationship of Thematic Mapper Simulator data to leaf area index of temperate coniferous forests. Remote Sensing of Environment 22: 323-341.
52. Pickup, G., V.H. Chewings and G. Pearce. 1995. Procedures for correcting high resolution airborne video imagery. International Journal of Remote Sensing 16: 1647-62.
53. Preston, R.A., D.C. Culvenor and N. Coops. 1999. Modeling of tree species and structural attributes from high resolution multi-spectral imagery using decision tree analysis for east coast eucalypt forests of Australia. In: D.A. Hill and D.G. Leckie (eds.), International Forum: Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry. Proceedings of a symposium held at
54. Victoria, BC, Canada, 10-12 Feb. 1998. Canadian Forest Service, Pacific Forestry Center, Victoria, Canada.
55. Rapport, D.J., R. Costanza, P.R. Epstein, C. Gaudet and R. Levins. 1998a. Ecosystem Health. Blackwell Science Inc., Mass., USA. 372 p.
56. Rapport, D.J., C. Gaudet, J.R. Karr, J.S. Baron, C. Bohlen, W. Jackson, B. Jones, R.J. Naiman, B. Norton and M.M. Pollock. 1998b. Evaluating landscape health: integrating societal goals and biophysical process. Journal of Environmental Management 53: 1-15.
57. Reid, N. and J. Landsberg. 1999. Tree decline in the agriculture matrix: what do we stand to lose? In: R.J. Hobbs and C.J. Yates (eds.), Temperate Eucalypt Woodlands in Australia: Biology, Conservation, Management and Restoration. Surrey Beatty & Sons, Chippinorton, NSW, Australia.
58. Richardson, A.J., J.H. Everitt and D.E. Escobar. 1992. Calibration of gain compensated aerial video remote sensing imagery using ground control reflection standard. Proceedings of the 13th Biennial workshop on color aerial photography in the plant sciences and related fields. (American Society of Photogrammetry and Remote Sensing: Orlando, Florida.) pp. 87-97.
59. Rock, B.N., T. Hoshizaki and J.R. Miller. 1988. Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline. Remote Sensing of the Environment 24: 109-127.
60. Royle, D.D. and R.G. Lanthrop 1997. Monitoring hemlock forest health in New Jersey using Landsat TM data and change detection techniques. Forest Science 43: 327-335.
61. Schreuder, H.T. and R.L. Czaplewski. 1992. Long-term strategy for the statistical design of a forest health monitoring system. Environment Monitoring and Assessment 27: 81-94.
62. Spanner, M. A., L.L. Pierce, S.W. Running and D.L. Peterson. 1990a The seasonality of AVHRR data of temperate coniferous forests: Relationships with leaf area index. Remote Sensing of Environment 33: 97-112.
63. Spanner, M.A., L.L. Pierce, D.L. Peterson and S.W. Running. 1990b. Remote sensing of temperate coniferous forest leaf area index: The influence of canopy closure, understorey vegetation and background reflectance. International Journal of Remote Sensing 11: 95-111.
64. St-Onge, B. and F. Cavayas. 1997. Automated forest structure mapping from high resolution imagery based on directions semivariogram estimates. Remote Sensing of the Environment 61: 82-95.
65. 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: 450-458.
66. 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: 55-63.
67. Treitz, P. and P. Howarth. 1996. Remote sensing forest ecosystem characterization: A review. NODA/NFP Technical Report TR-12. Natural Resources Canada and Canadian Forest Service, Ontario, Canada.
68. Vogelmann, J.E. and B.N. Rock. 1989. Use of thematic mapper data for the detection of forest damage caused by the pear thrips. Remote Sensing of the Environment 30: 217-225.
69. Vora, R.S. 1997. Developing programs to monitor ecosystem health and effectiveness of management practices on Lakes States National Forests, USA. Biological Conservation 80: 289-302.
70. Wang, L. and D.C. He. 1990. A new statistical approach for texture analysis. Photogrammetric Engineering and Remote Sensing 56: 61-66.
71. Watson, D.J. 1947. Comparative physiological studies on the growth of field crops. 1. Variation of net assimilation rate and leaf area between species and varieties, and within and between years. Annals Botany 11: 41-76.
72. White, J.D., S.W. Running, R. Nemani, R.E. Keane and K. C. Ryan. 1997. Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems. Canadian Journal of Forestry Research 27: 1714-1727.
73. Wulder, M.A., S.E. Franklin and M.B. Lavigne. 1996. High spatial resolution optical image texture for improved estimation of forest stand leaf area index. Canadian Journal of Remote Sensing 22: 441-448.
74. Wulder, M.A., E.F. LeDrew, S.E. Franklin and M.B. Lavigne. 1998. Aerial image texture information in the estimation of northern deciduous and mixed wood forest leaf area index (LAI). Remote Sensing of the Environment 64: 64-76.
75. Yuan, X., D. King, and J. Vlcek. 1991. Sugar maple decline assessment based on spectral and textural analysis of multispectral aerial videography. Remote Sensing of the Environment 37: 47-54.