Use of remote sensing for forest vegetation management: A problem analysis

Forestry Chronicle

Volumn 73, Issue 4, 1997, Pages 459-476

  Pitt, Douglas G ^a   Wagner, Robert G ^b   Hall, Ronald J ^a   King, Douglas J ^c   Leckie, Donald G ^a   Runesson, Ulf ^d  

^a LAURENTIAN FORESTRY CENTRE   (Canada)

^b ONTARIO FOREST RESEARCH INSTITUTE   (Canada)

^c CARLETON UNIVERSITY   (Canada)

^d LAKEHEAD UNIVERSITY   (Canada)

Author keywords

Aerial photography; Forest vegetation management; Regeneration; Remote sensing

Indexed keywords

EID: 0031458216     PISSN: 00157546     EISSN: None     Source Type: Journal    
DOI: 10.5558/tfc73459-4     Document Type: Article

References (76)

1. Ahern, F.J., W.J. Bennett and E.G. Kettela. 1986. An initial evaluation of two digital airborne imagers for surveying spruce budworm defoliation. Photogramm. Eng. Remote Sensing 52: 1647-1654.
2. Aldred, A.H. and G.M. Bonner. 1985. Applications of airborne lasers to forest surveys. Petawawa National Forestry Institute, Chalk River, Ontario. Inf. Rep. PI-X-51. 62p.
3. Anger, C.D., S. Mah and S.K. Babey. 1994. Technological enhancements to the compact airborne spectographic Imager (CASI). Proc. First International Airborne Remote Sensing Conf. and Exhibition. Sept 11-15, Strasbourg, France. Vol. 2, pp. 205-213.
4. Babey, S.K. and C.D. Anger. 1993. Compact airborne spectographic imager (CASI): a progress review. Proc. SPIE, Vol. 1937. pp. 152-163.
5. Ball, W.J. and V.S. Kolabinski. 1979. An aerial reconnaissance of softwood regeneration on mixedwood sites in Saskatchewan. Northern Forest Research Centre, Edmonton, Alberta. Inf. Rep. NOR-X-216. 14 p.
6. Brand, D.G., D.G. Leckie, and E.E. Cloney. 1991. Forest regeneration surveys: Design, data collection, and analysis. For. Chron. 67: 649-657.
7. Burton, P.J. 1993. Some limitations inherent to static indices of plant competition. Can. J. For. Res. 23: 2141-2152.
8. Canadian Council of Forest Ministers. 1996. Compendium of Canadian Forestry Statistics 1995. National Forest Database. Natural Resources Canada, Communications Branch, Ottawa, Ontario, K1A 0E4. 152 p.
9. Caylor, J.A. 1989. Film, camera, and mission considerations to reduce image motion effects on photos. Proc. 12th Biennial Workshop on Color Aerial Photography and Videography in the Plant Sciences. Reno, Nevada. American Society of Photogrammetry and Remote Sensing, pp. 46-63.
10. Croft, F.C., R.C. Heller and D.A. Hamilton, Jr. 1982. How to interpret tree mortality on large-scale color aerial photographs. USDA Forest Service, General Technical Report INT-24. Intermountain Forest and Ranae Experiment Station, Ogden, UT. 13 p.
11. Evans, D.L. 1994. Forest cover from Landsat thematic mapper data for use in the Catahoula Ranger District CIS. USDA, Forest Service, South For. Exp. Sta. Gen. Tech. Rep. SO-99. 14 p.
12. Fent, L., R.J. Hall and R.K. Nesby. 1995. Aerial films for forest inventory: optimizing film parameters. Photogramm. Eng. Remote Sensing 61(3): 281-289.
13. Fleming, J. 1978. Exploiting the variability of aerochrome infrared film. Photogramm. Eng. Remote Sensing 44(5): 601-605.
14. Flowerday, A.D. 1982. Low-altitude infrared photography as a crop management tool. pp. 141-158. In Remote Sensing for Resource Management. C.J. Johannsen and J.E. Sanders, (eds.). Soil Conservation Society of America, Ankeny, Iowa.
15. Franklin, S.E. 1994. Discrimination of subalpine forest species and canopy density using digital CASI, SPOT, PLA and Landsat TM data. Photogramm. Eng. Remote Sensing. 60(10): 1233-1241.
16. Franklin, S.E., R.T. Gillespie, B.D. Titus and D.B. Pike. 1994. Aerial and satellite sensor detection of Kalmia angustifolia at forest regeneration sites in central Newfoundland. Int. J. Remote Sensing 15(13): 2553-2557.
17. Franz, E., M.R. Gebhardt and K.B. Unklesbay. 1991. Shape description of completely visible and partially occluded leaves for identifying plants in digital images. Trans. ASAE 34(2): 673-681.
18. Fritz, L.W. 1996. The era of commercial Earth observation satellites. Photogramm. Eng. Remote Sensing 62(1): 39-45.
19. Gillis, M.D. and D.G. Leckie. 1996. Forest inventory update in Canada. For. Chron. 72: 138-156.
20. Goba, N., S. Pala and J. Narraway. 1982. An instruction manual on the assessment of regeneration success by aerial survey. Ontario Centre for Remote Sensing, Ontario Ministry of Natural Resources, Toronto, ON. 51 p.
21. Gougeon, F.A. 1992. Individual tree identification from high resolution MEIS images, pp. 117-128. In Proceedings of the International Forum on Airborne Multispectral Scanning for Forestry and Mapping (with emphasis on MEIS). D.G. Leckie and M.D. Gillis. Val-Morin, Quebec, April 13-16, 1992. Petawawa National Forestry Institute, Chalk River, Ontario. Int. Rep. PI-X-113.
22. Gougeon, F.A. 1995. A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images. Can. J. Remote Sensing 21(3): 274-284.
23. Graham, R. and R.E. Read. 1986. Manual of aerial photography. Focal Press, London.
24. Hall, R.J. 1984. Use of large-scale aerial photographs in regeneration assessments. Can. For. Serv. North. For. Res. Cent., Edmonton, Alberta. Inf. Rep. NOR-X-264. 31 p.
25. Hall, R.J. and A.H. Aldred. 1992. Forest regeneration appraisal with large-scale aerial photographs. For. Chron. 68(1): 142-150.
26. Hall, R.J. and L. Fent. 1996. A comparison of four black-and-white aerial films and their texture on interpreting images of forest species composition. Proc. 18th Can. Symp. on Remote Sensing, Vancouver, BC. pp. 118-122.
27. Hosking, G. 1994. Airborne video for resource monitoring - a new technology takes off. What's new in Forest Research, No. 233. New Zealand Forest Research Institute, Rotorua, NZ.
28. Hosking, G.P., J.G. Firth, R.K. Brownlie and W.B. Shaw. 1992. Airborne video - new toy or new tool? A New Zealand perspective. Proc. Resource Technology 92 - Information Technology for Environmental Management. November 16-18, 1992, Taipei, Taiwan.
29. Hunter and Associates. 1983. Free-to-grow evaluation compiled from large scale photo sampling. Prepared for the Ontario Ministry of Natural Resources, Cochrane District. 2695 North Sheridan Way, Ste. 120, Mississauga, ON L5K 2N6. 11 p.
30. Jacobs, D.M., D.L. Evans and J.C. Ritchie. 1993. Laser profiler and aerial video data for forest assessments. Proc. ACSM/ASPRS Annual Convention, New Orleans, LA, Feb. 15-18, American Society of Photogrammetry and Remote Sensing, Vol. II, pp. 135-142.
31. King, D.J. 1993. Digital frame cameras: Characteristics related to remote sensina. pp. 31-35. In Proceedings of the International Forum on Airborne Multispectral Scanning for Forestry and Mapping (with emphasis on MEIS). D.G. Leckie and M.D. Gillis, (eds.). Petawawa National Forestry Institute, Chalk River, Ontario. Inf. Rep. PI-X-113.
32. King, D.J. 1995. Airborne multispectral digital camera and video sensors: a critical review of system designs and applications. Can. J. Remote Sensing, Special Issue on Aerial Optical Remote Sensing 21(3): 245-273.
33. King, D.J. and J. Vlcek. 1990. Development of a multispectral video system and its application in forestry. Can. J. Remote Sensing 16(1): 15-22.
34. Kirby, C.L. 1980. A camera and interpretation system for assessment of forest regeneration. Can. For. Sen. North. For. Res. Cent., Edmonton, Alberta. Inf. Rep. NOR-X-221. 8 p.
35. Kirby, C.L. and R.J. Hall. 1979. The estimation of logging residues on large-scale aerial photographs. Proc. Int. Fire Management Workshop. Environ. Can., Can. For. Serv., North For. Res. Cent., Edmonton, Alberta. Inf. Rep. NOR-X-215. pp. 57-62.
36. Kodak Aerial Systems. 1995. Kodak Aerochrome HS film SO-359. Aerial data. AS-207.
37. Kodak Aerial Systems. 1996. High resolution mapping film. Aerial advantage. 9(1): 1.
38. Kneppeck, I.D. and F.J. Ahern. 1987. Evaluation of a multispectral linear array sensor for assessing juvenile stand conditions. Proc. Twenty-First International Symposium on Remote Sensing of Environment, Ann Arbor, Michigan, October 26-30, 1987. pp. 955-969.
39. Kneppeck, I.D. and F.J. Ahern. 1989. Stratification of a regenerating burned forest in Alberta using thematic mapper and C-SAR images. Proc. 12th Canadian Symposium on Remote Sensing, Vancouver, 1989. pp. 1391-1396.
40. Leckie, D.G. 1993. Application of airborne multispectral scanning to forest inventory mapping, pp. 86-93. In Proc. International Forum on Airborne Multispectral Scanning for Forestry Mapping (with emphasis on MEIS). D.G. Leckie and M.D. Gillis (eds.). Petawawa National Forestry Institute, Chalk River, Ontario. Inf. Rep. PI-X-113.
41. Leckie, D.G., M.D. Gillis and S.P. Joyce. 1992. A forest monitor ing system based on satellite imagery. In Proc. 15th Canadian Symposium on Remote Sensing. J.K. Hornsby, D.J. King and N.A. Prout (eds.). June 1-4, 1992, Toronto, ON.
42. Leckie, D.G., J. Beaubien, J.R. Gibson, N.T. O'Niell, T. Piekutowski and S.P. Joyce. 1995. Data processing and analysis for MIFUCAM: a trial of MEIS imagery for forest inventory mapping. Can. J. Remote Sensina 21(3): 337-356.
43. LeToan, T., A. Beaudoin, J. Riom and D. Guyon. 1992. Relating forest biomass to SAR data. IEEE Trans. Geoscience and Remote Sensing 30(2): 403-411.
44. Light, D.L. 1996. Film cameras or digital sensors? The challenge ahead for digital imaging. Photogramm. Eng. Remote Sensing 62(3): 285-291.
45. Liliesand, T.M. and R.W. Kiefer. 1994. Remote sensing and image interpretation. 3rd edition. John Wiley & Sons, Inc., New York.
46. Lowe, J.L., B.P. Oswald, T.L. Coleman, W. Tadesse, J.H. Everitt, D.E. Escobar and M.R. Davis. 1995. Comparison of conventional ground sampling and remote sensing techniques for mapping of forest vegetation. Proc. 15th Biennial Workshop on Color Photography and Videography in Resource Assessment. Am. Soc. Photogramm. and Rem. Sens., Terre Haute, IN. May 2-3. pp. 31-52.
47. Lyons, E.H. 1966. Fixed-airbase 70-mm photography, a new tool for forest sampling. For. Chron. 42: 420-431.
48. Lyons, E.H. 1967. Forest sampling with 70-mm fixed-base photography from helicopters. Photogrammetria 22: 213-231.
49. McColl, W.D., R.A. Neville and S.M. Till. 1983. Multi-detector Electrooptical Imaging Scanner MEIS II. Proc. 8th Canadian Symp. Remote Sensing, Montreal, Quebec, May 3-6. pp. 71-79.
50. Mussio, L. and D. L. Light. 1995. ISPRS Commission I: sensors, platforms, and imagery symposium. Photogramm. Eng. Remote Sensing 61(11): 1339-1334.
51. Myhre, R.J., A.S. Munson, D.E. Meisner and S. Dewhurst. 1987. Assessment of a color infrared aerial video system for forest insect detection and evaluation. Proc. 11th Biennial Workshop on Color Aerial Photography and Videography in the Plant Sciences. Am. Soc. Photogramm. and Remote Sensing, Bethesda, Maryland. pp. 244-251.
52. Myhre, R.J. and B. Silvey. 1992. An airborne video system developed within forest pest management - status and activities, pp. 291-300. In Proc. of Fourth Forest Service Remote Sensing Applications Conference, Remote Sensing and Natural Resource Management, Orlando, FL, April 1992.
53. Nelson, H.A. 1977. Assessment of forest plantations from low altitude aerial photography. In Proc. of the 11th International Symposium on Remote Sensing of the Environment, 25-29 Apr. 1977, Ann Arbor, MI. Environmental Research Institute of Michigan (ed.). Center for Remote Sensing Information and Analysis, Ann Arbor, MI. 2: 1515-1522.
54. Neville, R.A., R. Marois, J.W. Schwartz and S.M. Till. 1992. Wide-angle high-resolution line-imager prototype flight test results. Applied Optics 31(18): 3463-3472.
55. OCRS. 1989. Forest regeneration assessment from high-resolution satellite data. COFRDA Project No. 02SE.01K35-6-0076, OCRS.
56. Paradine, D., P. Howarth and P. Treitz. 1995. Empirical identification of forest ecological parameters from remote sensing imagery of northwestern Ontario. Proc. 17th Canadian Symp. Remote Sensing. June 13-15, Saskatoon, Saskatchewan, pp. 611-616.
57. Pitt, D.G. 1994. Use of large-scale 35-mm aerial photographs for assessment of vegetation management research plots. Ph.D. dissertation, School of Forestry, Auburn University, AL. 247 p.
58. Pitt, D.G. and G.R. Glover. 1993. Large-scale 35-mm aerial photographs for assessment of vegetation-management research plots in eastern Canada. Can. J. For. Res. 23: 2159-2169.
59. Pitt, D.G. and G.R. Glover. 1996. Measurements of woody plant attributes from large-scale aerial photographs. N.Z. J. For. Sci. 26(1/2): 53-73.
60. Pitt, D.G., G.R. Glover and R.A. Jones. 1996. Two-phase sampling of woody and herbaceous plant communities using large-scale aerial photographs. Can. J. For. Res. 26(4): 509-524.
61. Pollock, R.J. 1994a. A model-based approach to automatically locating tree crowns in high spatial resolution images. Proc. Conference on Image and Signal Processing for Remote Sensing, Sept. 1994, Rome. EOS/SPIE, Vol. 2315.
62. Pollock, R.J. 1994b. A model-based approach to automatically locating individual tree crowns in high-resolution images of forest canopies. Proc. First International Airborne Remote Sensing Conference and Exhibition, Strasbourg, France, Sept. 11-15, 1994.
63. Poole, P. 1994. Appropriate geomatics technology for local earth observation. Yale School of Forestry and Environmental Studies Bulletin Series, No. 98. pp. 156-163.
64. Ranson, K.J. and G. Sun. 1994. Mapping biomass of a northern forest ecosystem using multifrequency SAR data. IEEE Trans. Geoscience and Remote Sensing 32(2): 388-396.
65. Ritchie, J.C., D.L. Evans, D. Jacobs, J.H. Everitt and M.A. Weltz. 1993. Measuring canopy structure with an airborne laser altimeter. Trans. ASAE 36(4): 1235-1238.
66. Schreier, H., J. Lougheed, C. Tucker and D. Leckie. 1985. Automated measurements of terrain reflection and height variations using an airborne infrared laser system. Int. J. Remote Sensing 6(1): 101-113.
67. Slaymaker, D.M., K.M.L. Jones, C.R. Griffin, and J.T. Finn. 1995. Mapping deciduous forests in New England using aerial videography and multi-temporal Landsat TM imagery. Dept. of Forestry and Wildlife Management, University of Massachusetts, Amherst, MA, 15 p.
68. Spencer, R.D. and R.J. Hall. 1988. Canadian large-scale aerial photographic systems. Photogramm. Eng. Remote Sensing 54(4): 475-482.
69. Tappeiner, J.C. II and R.G. Wagner. 1987. Principles of silvicultural prescriptions for vegetation management, pp. 399-429. In Vegetation management for conifer production. J.D. Walstad and P.J. Kuch (eds.). John Wiley and Sons Inc., New York.
70. Verreault, R., G.H. Lemieux and S. McLaughlin. 1993. La vidéographie aérienne à multispectrale (VAM) appliquée au monitoring de Fa régénération forestière. Proc. 16th Canadian Symposium on Remote Sensing, Sherbrooke, Québec, June 7-10, Can. Rem. Sens. Soc., Ottawa, ON. p. 647-651.
71. Wagner, R.G. 1994. Toward integrated forest vegetation management. J. For. 92(11): 26-30.
72. Wagner, R.G. and S.R. Radosevich. 1991. Neighborhood predictors of interspecific competition in young Douglas-fir plantations. Can. J. For. Res. 21: 821-828.
73. Warner, W.S., R.W. Graham and R.E. Read. 1996. Small format aerial photography. American Society for Photogrammetry and Remote Sensing, Bethesda, MD. 348 p.
74. Weltz, M., J.C. Ritchie and H.D. Fox. 1994. Coparison of laser and field measurements of vegetation heights and canopy cover. Water Resourc. Res. 30(5): 1311-1319.
75. Wu, S.T. 1987. Potential application of multipolarization SAR for pineplantation biomass estimation. IEEE TRans. Geoscience and Remote Sensing. Ge-25(3): 403-409.
76. Yuan, X., D.J. King and J. Vlcek. 1991. Sugar maple decline assessment based on spectral and textural analysis of multispectral aerial videography. Remote Sensing of Environment 37(1): 47-54.