Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation

Remote Sensing of Environment

Volumn 103, Issue 1, 2006, Pages 67-80

  Coops, Nicholas C ^a   Johnson, Matt ^a   Wulder, Michael A ^b   White, Joanne C ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b PACIFIC FORESTRY CENTRE   (Canada)

Author keywords

British Columbia; Dendroctonus ponderosae; Forest health assessment; High spatial resolution; Lodgepole pine; Mountain pine beetle; QuickBird

Indexed keywords

FORESTRY; IMAGE ANALYSIS; OPTICAL RESOLVING POWER;

BRITISH COLUMBIA; DENDROCTONUS PONDEROSAE; FOREST HEALTH ASSESSMENT; HIGH SPATIAL RESOLUTION; LODGEPOLE PINE; MOUNTAIN PINE BEETLE; QUICKBIRD;

REMOTE SENSING;

BEETLE; EOS; FOREST DYNAMICS; HEALTH SURVEY; LANDSAT MULTISPECTRAL SCANNER; NDVI; SATELLITE IMAGERY; SPATIAL RESOLUTION;

FORESTRY; IMAGE ANALYSIS; REMOTE SENSING; RESOLUTION;

BRITISH COLUMBIA; CANADA; NORTH AMERICA;

COLEOPTERA; DENDROCTONUS PONDEROSAE; PINUS MUGO;

EID: 33744977717     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2006.03.012     Document Type: Article

References (52)

1. Ahern F.J. The effects of bark beetle stress on the foliar spectral reflectance of lodgepole pine. International Journal of Remote Sensing 9 (1988) 1451-1468
2. Aldrich R.C., Heller R.C., and Bailey W.F. Observation limits for aerial sketch-mapping southern pine beetle in the southern Appalachians. Journal of Forestry 56 (1958) 200-202
3. Amman, G. D., (1982). The mountain pine beetle-identification, biology, causes of outbreaks, and entomological research needs. Proceedings of the Joint Canada/USA Workshop on Mountain Pine Beetle Related Problems in Western North America (pp. 7-12). Victoria, British Columbia, Canada: Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre.
4. Birk R.J., Stanley T., Snyder G.I., Hennig T.A., Fladeland M.M., and Policelli F. Government programs for research and operational uses of commercial remote sensing data. Remote Sensing of Environment 88 (2003) 3-16
5. British Columbia Ministry of Environment, Lands and Parks. (1992). British Columbia Specifications and Guidelines for Geomatics, Content Series Vol. 3: Digital Baseline Mapping at 1:20000, Release 2.0 January 1992. Geographic Data BC: Victoria, British Columbia, Canada. http://srmwww.gov.bc.ca/bmgs/trim/trim/trim_specs.html
6. British Columbia Ministry of Forests. (1995). Bark Beetle Management Guidebook. Forest Practices Branch: Victoria, British Columbia, Canada. www.for.gov.bc.ca/tasb/legsregs/fpc/fpcguide/beetle/betletoc.htm
7. British Columbia Ministry of Forests. (2004). Ministry of Forests Land-Base Investment Program: Aerial Detection Standards for Bark Beetle Management. Interim for FY 2004/05. Victoria, British Columbia, Canada: Forest Practices Branch. http://www.for.gov.bc.ca/hcp/fia/landbase/AerialDetectionStandardforBarkBeetleManagement.doc
8. British Columbia Ministry of Forests and Canadian Forest Service. (2000). Forest Health Aerial Overview Survey Standards for British Columbia: The B.C. Ministry of Forests adaptation of the Canadian Forest Service's FHN Report 97-1 "Overview Aerial Survey Standards for British Columbia and the Yukon", Version 2.0. Victoria, British Columbia, Canada: Resources Inventory Committee. http://srmwww.gov.B.C.ca/risc/pubs/teveg/foresthealth/index.htm
9. British Columbia Ministry of Forests and Range. (2005). Mountain pine beetle affects 8.5 million hectares. Press Release: December 20, 2005. Victoria, British Columbia, Canada. http://www.for.gov.bc.ca/hfp/mountain_pine_beetle/2005MPBsurvey.pdf
10. British Columbia Ministry of Sustainable Resource Management. (2002). Vegetation Resources Inventory: Photo Interpretation Procedures, Version 2.4. Victoria, British Columbia, Canada: Resources Inventory Committee. http://www.for.gov.bc.ca/hts/vri/standards/#photo
11. Coops, N., Wulder, M. A., & White, J. C. (submitted for publication) Characterizing preferential attack by mountain pine beetle in susceptible forest stands. Remote Sensing of Environment.
12. Crist E.P., and Cicone R.C. Application of the tasseled cap concept to simulated Thematic Mapper data. Photogrammetric Engineering and Remote Sensing 50 (1984) 327-331
13. Crist, E. P., Lauren, R., & Cicone, R. C. (1986). Vegetation and soils information contained in transformed Thematic Mapper data. Final Proceedings: IGARSS '86 Symposium. Zurich, Switzerland, 8-11 September (pp. 1465-1470) Noordwijk, The Netherlands: ESA Publ. Division, SP-254.
14. Dial G., Bowen H., Gerlach F., Grodecki J., and Oleszczuk R. IKONOS satellite, imagery and products. Remote Sensing of Environment 88 (2003) 23-36
15. Franklin S.E., Lavigne M.B., Moskal L.M., Wulder M.A., and McCaffrey T.M. Interpretation of forest harvest conditions in New Brunswick using Landsat TM enhanced wetness difference imagery (EWDI). Canadian Journal of Remote Sensing 27 (2001) 118-128
16. Franklin S., Wulder M., Skakun R., and Carroll A. Mountain pine beetle red attack damage classification using stratified Landsat TM data in British Columbia, Canada. Photogrammetric Engineering and Remote Sensing 69 (2003) 283-288
17. Frayer W.E., and Furnival G.M. Forest survey sampling designs: A history. Journal of Forestry 97 (1999) 4-10
18. Gill S.J., Biging G.S., and Murphy E.C. Modeling conifer tree crown radius and estimating canopy cover. Forest Ecology and Management 126 (2000) 405-416
19. Goodwin N., Coops N.C., and Stone C. Quantifying Forest Canopy Condition from Airborne Imagery using Spectral Mixture Analysis and Fractional Abundances. International Journal of Applied Earth Observation and Geoinformation 7 (2005) 11-28
20. Harris, J. W. E., & Dawson, A. F., (1979). Evaluation of aerial forest pest damage survey techniques in British Columbia. Victoria, British Columbia, Canada: Environment Canada, Canadian Forestry Service, Pacific Forest Research Centre Information Report, BC-X-198.
21. Hays W.L. Statistics. (4th ed.) (1988), CBS College Publishing, New York
22. In: Henigman J., Ebata T., Allen E., Holt J., and Pollard A. (Eds). Field guide to forest damage in British Columbia. (1999), British Columbia Ministry of Forests, Victoria, British Columbia, Canada
23. Hill J.B., Poop H.W., and Grove Jr. A.R. Botany: A textbook for colleges. (4th ed.) (1967), McGraw-Hill Book Co, Toronto
24. Kauth R.J., and Thomas G.S. The tasseled cap-a graphic description of spectral-temporal development of agricultural crops as seen by Landsat. Final Proceedings: 2nd International Symposium on Machine Processing of Remotely Sensed Data (1976), Purdue University, West Lafayette, IN, USA 4B-41-4B-51
25. Kneppeck I.D., and Ahern F.J. A comparison of images from a pushbroom scanner with normal color aerial photographs for detecting scattered recent conifer mortality. Photogrammetric Engineering and Remote Sensing 55 (1989) 333-337
26. Koch P. Lodgepole pine in North America (1996), Forest Products Society, Madison, WI, USA
27. Markham B., and Barker J. Landsat MSS and TM post calibration dynamic ranges, exoatmospheric reflectances and at satellite temperature. EOSAT Landsat Technical Notes 1 (1986) 3-7
28. McConnell T.J., Johnson E.W., and Burns B. A guide to conducting aerial sketchmapping surveys (2000), USDA Forest Service, Fort Collins, CO, USA Forest Health Technology Enterprise Team. Report FHTET 00-001
29. Murtha P.A. Remote sensing and vegetation damage: A theory for detection and assessment. Photogrammetric Engineering and Remote Sensing 44 (1978) 1147-1158
30. Murtha P.A., and Wiart R. PC-based digital image analysis for mountain pine beetle green attack: Preliminary results. Canadian Journal of Remote Sensing 13 (1987) 92-95
31. Nelson, T., Boots, B., & Wulder, M. A. (2004). Spatial-temporal analysis of mountain pine beetle infestations to characterize pattern, risk, and spread at the landscape level. In Shore, T.L. Shore, J.E. Brooks, J.E. Stone Mountain Pine Beetle Symposium: Challenges and Solutions, 30-31 October 2003. Kelowna, British Columbia, Canada (pp. 164-173). Victoria, British Columbia, Canada: Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre. Information Report BC-X-399.
32. Nelson T., Boots B., and Wulder M.A. Representing large area mountain pine beetle infestations. Forestry Chronicle 82 (2006) 243-252
33. Peddle D.R., Hall F.G., and LeDrew E.F. Spectral mixture analysis and geometric-optical reflectance modelling of boreal forest biophysical structure. Remote Sensing of Environment 67 (1999) 288-297
34. Price K.P., and Jakubauskas M.E. Spectral retrogression and insect damage in lodgepole pine successional forests. International Journal of Remote Sensing 19 (1998) 1627-1631
35. Rouse J.W., Haas R.H., Shell J.A., and Deering D.W. Monitoring vegetation systems in the Great Plains with ERTS-1. 3rd Earth Resources Technology Satellite Symposium Vol. 1 (1973) 309-317
36. Safranyik, L., Shrimpton, D., & Whitney, H. S. (1974). Management of lodgepole pine to reduce losses from the mountain pine beetle. Victoria, British Columbia, Canada: Environment Canada, Canadian Forest Service, Pacific Forest Research Centre.
37. Seely B., Nelson J., Wells R., Peter B., Meitner M., Anderson A., et al. The application of a hierarchical, decision-support system to evaluate multi-objective forest management strategies: A case study in northeastern British Columbia, Canada. Forest Ecology and Management 199 (2004) 283-305
38. Sharma R., and Murtha P.A. Application of Landsat TM tasseled cap transformations in detection of mountain pine beetle infestations. Final Proceedings: 23rd Canadian Symposium of Remote Sensing, 21-24 August 2001, Quebec City, Quebec, Canada (2001)
39. Skakun R.S., Wulder M.A., and Franklin S.E. Sensitivity of the Thematic Mapper Enhanced Wetness Difference Index (EWDI) to detect mountain pine needle red attack damage. Remote Sensing of Environment 86 (2003) 433-443
40. Stone C., and Coops N.C. Assessment and monitoring damage from insects in Australian native forest and plantations. Australian Journal of Entomology 43 (2004) 283-292
41. Tao C.V., Hu Y., and Jiang W. Photogrammetric exploitation of IKONOS imagery for mapping applications. International Journal of Remote Sensing 25 (2004) 2833-2853
42. Unger, L. (1993). Mountain pine beetle. Forest Pest Leaflet, 76. Victoria, British Columbia, Canada: Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre.
43. White J.C., Wulder M.A., Brooks D., Reich R., and Wheate R. Mapping mountain pine beetle infestation with high spatial resolution satellite imagery. Remote Sensing of Environment 96 (2004) 240-251
44. Winer B.J. Statistical principles in experimental design (1962), McGraw-Hill, New York
45. Wood S.L. A revision of the bark beetle genus Dendroctonus Erichson (Coleoptera: Scolytidae). Great Basin Naturalist 23 (1963) 1-117
46. Wood, C., & Unger, L. (1996). Mountain pine beetle. A history of outbreaks in pine forests in British Columbia, 1910 to 1995. Victoria, British Columbia, Canada: Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre.
47. Wulder, M. A., Dymond, C. C., & Erickson, B. (2004). Detection and monitoring of the mountain pine beetle. Victoria, British Columbia, Canada: Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre. Information Report BC-X-398.
48. Wulder M.A., and Franklin S.E. Polygon decomposition with remotely sensed data: Rationale, methods, and applications. Geomatica 55 (2001) 11-21
49. Wulder M.A., Dymond C.C., White J.C., Leckie D.G., and Carroll A.L. Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities. Forest Ecology and Management 221 (2006) 27-41
50. Wulder M.A., Skakun R.S., Franklin S.E., and White J.C. Enhancing forest inventories with mountain pine beetle infestation information. Forestry Chronicle 81 (2005) 149-159
51. Wulder M., White J., Bentz B., Alvarez F., and Coops N. Estimating the probability of mountain pine beetle red attack damage. Remote Sensing of Environment 101 (2006) 150-166
52. Wulder M., White J., Bentz B., and Ebata T. Augmenting the existing survey hierarchy for mountain pine beetle red attack damage with satellite remotely sensed data. Forestry Chronicle 82 2 (2006) 187-202