Detection of post-fire residuals using high- and medium-resolution satellite imagery

Forestry Chronicle

Volumn 82, Issue 2, 2006, Pages 177-186

  Kachmar, Mark ^a,b   Sánchez Azofeifa, G Arturo ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b ESRI Canada   (Canada)

Author keywords

Forest fires; Geographic information systems (GIS); High resolution; Medium resolution; Minimum mapping unit; Remote sensing; Residual forest islands; Satellite imagery; Wildfire

Indexed keywords

FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; IMAGING TECHNIQUES; MAPPING; REMOTE SENSING; SATELLITE COMMUNICATION SYSTEMS;

HIGH RESOLUTION; MEDIUM RESOLUTION; MINIMUM MAPPING UNIT; RESIDUAL FOREST ISLANDS; SATELLITE IMAGERY; WILDFIRE;

FIRES;

FOREST FIRE; GIS; LAND USE; MAPPING; REMOTE SENSING; SATELLITE IMAGERY; WILDFIRE;

FOREST FIRES; FORESTRY; IMAGE ANALYSIS; REMOTE SENSING; SATELLITES;

ALBERTA; CANADA; NORTH AMERICA;

EID: 33645663739     PISSN: 00157546     EISSN: 00157546     Source Type: Journal    
DOI: 10.5558/tfc82177-2     Document Type: Conference Paper

References (40)

1. Amiro, B.D., B.J. Stocks, M.E. Alexander, M.D. Flannigan and B.M. Wotton. 2001. Fire, climate change, carbon and fuel management in the Canadian boreal forest. Int. J. Wildland Fire 10: 405-413.
2. Amiro, B.D. and J.M. Chen. 2003. Forest fire scar aging using spot-vegetation for Canadian ecoregions. Can. J. For. Res. 33: 1116-1125.
3. Bennet, B. 2001. What is a Forest? On the Vagueness of Certain Geographical Concepts. Topoi 20: 189-201.
4. Bonan, G.H. and H.H. Shugart. 1989. Environmental Factors and Ecological Processes in Boreal Forests. Annual Review of Ecology and Systematics 20: 1-28.
5. Bougeau-Chavez, L.L., E.S. Kasischke, S. Brunzell, J.P. Mudd and M. Tukman. 2002. Mapping fire scars in global boreal forest using imaging radar data. Int. J. Rem. Sens. 23(20): 4211-4234.
6. Chisholm Fire Review Committee Final Report. 2001. Alberta Sustainable Resource Development. 53pp. Available from http://www3.gov.ab.ca/srd/forests/ chisholm/ [updated 02 November 2001; cited 07 September 2003].
7. Conard, S.G., T. Hartzell, M.W. Hillbruner and G.T. Zimmerman. 2001. Changing fuel management strategies-The challenge of meeting new information and analysis needs. Int. J. Wildland Fire 10: 267-275.
8. Delong, S. and W. Kessler. 2000. Ecological characteristics of mature forest remnants left by wildfire. For. Ecol. Manage. 131: 93-106.
9. Diaz-Delgado, R., F. Lloret X. and Pons. 2003. Influence of fire severity on plant regeneration by means of remote sensing imagery. Int. J. Rem. Sens. 24(8): 1751-1763.
10. Dorling, D. 1998. Human Cartography: when it is good to map. Environment and Planning A 30: 277-288.
11. Eberhart, K.E. and P.M. Woodard. 1987. Distribution of residual vegetation associated with large fires in Alberta. Can. J. For. Res. 17: 1207-1212.
12. Fraser, R.H., R.J. Hall, R. Landry, T. Lynham, D. Raymond, B. Lee and Z. Li. 2004.Validation and Calibration of Canada-Wide Coarse-Resolution Satellite Burned-Area Maps. Photogrammetric Engineering and Remote Sensing 70(4): 451-460.
13. Garcia-Haro, F., M.A. Gilabert and J. Melia. 2001. Monitoring fire-affected areas using Thematic Mapper data. Int. J. Rem. Sens. 22(4): 533-549.
14. Greene, D.F., J.C. Zasada, L. Sirois, D. Kneeshaw, H. Morin, I. Charron and M. Simard. 1999. A review of the regeneration dynamics of North American boreal forest tree species. Can. J. For. Res. 29: 824-839.
15. Harley, J.B. 1989. Deconstructing the map. Cartographica 26(2): 1-20.
16. Kafka, V., S. Gauthier and Y. Bergeron. 2001. Fire impacts and crowning in the boreal forest: study of a large wildfire in western Québec. Int. J. Wildland Fire 10: 119-127.
17. Keane, R.E., R. Burgan and J. van Wagtendonk. 2001. Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modelling. Int. J. Wildland Fire 10: 301-319.
18. Larson, J.A. 1980. The Boreal Ecosystem. Academic Press, New York. 500 p.
19. Marceau, D.J. and G.J. Hay. 1999. Remote sensing contributions to the scale issue. Can. J. Rem. Sens. 25(4): 357-366.
20. McGarigal, K. and B. Marks. 1994. FRAGSTATS*ARC: Spatial pattern analysis program for quantifying landscape structure (Version 2.0). Corvallis, OR.
21. Miller, J. and S. Yool. 2002. Mapping forest post-fire canopy consumption in several overstory types using Landsat TM and ETM+ data. Rem. Sens. Env. 82: 481-496.
22. Nunes, C. and J.I. Augé. (eds.). 1999. Land-Use and Land-Cover Change (LUCC) Implementation Strategy. LUCC Report Series 48. IGBP Secretariat, Stockholm. 125p.
23. Pereira, M.C. and A.W. Setzer. 1993. Spectral characteristics of fire scars in Landsat 5 TM images of Amazonia. Int. J. Rem. Sens. 14(11): 2061-2078.
24. Riaño, D., E. Chuvieco, S. Ustin, R. Zomer, P. Dennison, D. Roberts and J. Salas. 2002. Assessment of vegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains. Rem. Sens. Env. 79: 60-71.
25. Richards, J.A. 1994. Remote sensing digital image analysis. Springer-Verlag, Berlin. 281 p.
26. Rogan, J. and S.R. Yool. 2001. Mapping fire-induced vegetation depletion in the Peloncillo Mountains, Arizona and New Mexico. Int. J. Rem. Sens. 22(16): 3101-3121.
27. Rowe, J. and G. Scotter. 1973. Fire in the Boreal Forest. Quaternary Research 3: 444-464.
28. Sánchez-Azofeifa, G.A., M. Kachmar, M. Kalácska and S. Hamilton. 2003. Experiences in Field Data Collection for Land Use and Land Cover Change Classification in Boreal and Tropical Environments. In Methods for Remote Sensing of Forests: Concepts and Case Studies. pp. 433-446. Kluwer Academic Publishing.
29. Sandberg, D.V., R.D. Ottmar and G.H. Cushon. 2001. Characterizing fuels in the 21st century. Int. J. Wildland Fire 10: 381-387.
30. Saura, S. 2002. Effects of minimum mapping unit on land cover data spatial configuration and composition. Int. J. Rem. Sens. 23(22): 4853-4880.
31. Schieck, J. and K.A. Hobson. 2000. Bird communities associated with live residual tree patches within cut blocks and burned habitat in mixedwood boreal forests. Can. J. For. Res. 30: 1281-1295.
32. Song, C., C. Woodcock, K. Seto, M. Lenney and S. Macomber. 2001. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Rem. Sens. Env. 75(2): 230-244.
33. Sousa, W.P. 1984. The Role of Disturbance in Natural Communities. Annual Review of Ecology and Systematics 15: 353-391.
34. Strand, G.H., W. Dramstad and G. Engan. 2002. The effect of field experience on the accuracy of identifying land cover types in aerial photographs. Int. J. Applied Earth Observation and Geoinformation 4: 137-146.
35. Strong, W.L. and K.R. Leggat. 1981. Ecoregions of Alberta. Alberta Forestry, Lands and Wildlife. Edmonton, Alberta.
36. Sunar, F. and C. Özkan. 2001. Forest fire analysis with remote sensing data. Int. J. Rem. Sens. 22(12): 2265-2277.
37. Tou, J.T. and R.C. Gonzalez. 1974. Pattern Recognition Principles. Addison-Wesley Publishing Company. 377 p.
38. White, J.D., K.C. Ryan, C.C. Key and S.W. Running. 1996. Remote Sensing of Forest Fire Severity and Vegetation Recovery. Int. J. Wildland Fire 6(3): 125-136.
39. Woodcock, C.E. and A.H. Strahler. 1987. The Factor of Scale in Remote Sensing. Rem. Sens. Env. 21: 311-322.
40. Zukowskyj, P.M., M.A. Bussell, C. Power and R.W. Teeuw. 2001. Quantitative accuracy assessment of contextually filtered classified images. Int. J. Rem. Sens. 22(16): 3203-3222.