Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR)

Remote Sensing of Environment

Volumn 109, Issue 1, 2007, Pages 66-80

  Miller, Jay D ^a   Thode, Andrea E ^b  

^a USDA FOREST SERVICE   (United States)

^b NORTHERN ARIZONA UNIVERSITY   (United States)

Author keywords

Burn severity; Change detection; Disturbance; dNBR; Landsat TM; Relative change; Wildland fire

Indexed keywords

ALGORITHMS; BIOMASS; FIRE PROTECTION; PIXELS; SMOKE; VEGETATION;

BURN SEVERITY; CHANGE DETECTION; RELATIVE CHANGE; WILDLAND FIRE;

ECOSYSTEMS;

ALGORITHM; CLASSIFICATION; DISTURBANCE; ECOLOGICAL IMPACT; FIRE HISTORY; LANDSAT THEMATIC MAPPER; TEMPORAL ANALYSIS; VEGETATION CLASSIFICATION; VEGETATION INDEX; WILDFIRE;

CALIFORNIA; NORTH AMERICA; SIERRA NEVADA [CALIFORNIA]; UNITED STATES;

EID: 34248681539     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2006.12.006     Document Type: Article

References (35)

1. Agee J.K. Fire ecology of Pacific Northwest forests (1993), Island Press, Washington, D.C. 493 pp.
2. Arno S.F., and Fiedler C.E. Mimicking nature's fire: Restoring fire-prone forests in the west (2005), Island Press, Washington, D.C. 256 pp.
3. Avery T.E., and Berlin G.L. Fundamentals of remote sensing and airphoto interpretation (1992), Prentice Hall, Upper Saddle River, NJ 472 pp.
4. Brewer K.C., Winne J.C., Redmond R.L., Opitz D.W., and Mangrich M.V. Classifying and mapping wildfire severity: A comparison of methods. Photogrammetric Engineering and Remote Sensing 71 11 (2005) 1311-1320
5. Brown J.K., and Smith J.K. Wildland fire in ecosystems: Effects of fire on flora. General Technical Report, RMRS-GTR-42-vol. 2 (2000), USDA Forest Service, Rocky Mountain Research Station, Ogden, UT 257 pp.
6. Chander G., and Markham B.L. Revised Landsat 5 TM radiometric calibration procedures, and postcalibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 2674-2677
7. Cocke A.E., Fulé P.Z., and Crouse J.E. Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data. International Journal of Wildland Fire 14 (2005) 189-198
8. Collins J.B., and Woodcock C.E. An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sensing of Environment 56 1 (1996) 66-77
9. Congalton R.G., and Green K. Assessing the accuracy of remotely sensed data: Principles and practices (1999), Lewis Publishers, New York 137 pp.
10. Coppin P.R., and Bauer M.E. Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews 13 (1996) 207-234
11. DeBano L.F., Neary D.G., and Ffolliott P.F. Fire's effects on ecosystems (1998), John Wiley and Sons, Inc., New York 333 pp.
12. Ekstrand S. Assessment of forest damage with Landsat TM: Correction for varying forest stand characteristics. Remote Sensing of Environment 47 (1994) 291-302
13. Elvidge C.D. Visible and near infrared reflectance characteristics of dry plant materials. International Journal of Remote Sensing 11 10 (1990) 1775-1795
14. Epting J., Verbyla D., and Sorbel B. Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+. Remote Sensing of Environment 96 3-4 (2005) 328
15. Franklin S.E., and Wulder M.A. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas. Progress in Physical Geography 26 2 (2002) 173-205
16. Jakubauskas M.E., Lulla K.P., and Mausel P.W. Assessment of vegetation change in a fire-altered forest landscape. Photogrammetric Engineering and Remote Sensing 56 3 (1990) 371-377
17. Jia G.J., Burke I.C., Goetz A.F.H., Kaufmann M.R., and Kindel B.C. Assessing spatial patterns of forest fuel using AVIRIS data. Remote Sensing of Environment 102 3-4 (2006) 318
18. Key C.H., and Benson N.C. Landscape assessment: Remote sensing of severity, the Normalized Burn Ratio. In: Lutes D.C., et al. (Ed). FIREMON: Fire effects monitoring and inventory system. General Technical Report, RMRS-GTR-164-CD:LA1-LA51 (2005), USDA Forest Service, Rocky Mountain Research Station, Ogden, UT
19. Key C.H., and Benson N.C. Landscape assessment: ground measure of severity, the Composite Burn Index. In: Lutes D.C., et al. (Ed). FIREMON: Fire effects monitoring and inventory system. General Technical Report, RMRS-GTR-164-CD:LA1-LA51 (2005), USDA Forest Service, Rocky Mountain Research Station, Ogden, UT
20. Kokaly, R. F., Rockwell, B. W., Hiare, S. L., & King, T. V. V. (in press). Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing. Remote Sensing of Environment.
21. Lopez Garcia M.J., and Caselles V. Mapping burns and natural reforestation using Thematic Mapper data. Geocarto International 1 (1991) 31-37
22. Lyon J.G., Yuan D., Lunetta R.S., and Elvidge C.D. A change detection experiment using vegetation indices. Photogrammetric Engineering and Remote Sensing 64 2 (1998) 143-150
23. Miles S.R., and Goudy C.B. Ecological subregions of California: Section and subsection descriptions, R5-EM-TP-005 (1997), USDA Forest Service, Pacific Southwest Region, San Francisco, CA
24. Miller J.D., and Yool S.R. Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data. Remote Sensing of Environment 82 2-3 (2002) 481-496
25. Nelson R.F. Detecting forest canopy change due to insect activity using Landsat MSS. Photogrammetric Engineering and Remote Sensing 49 (1983) 1303-1314
26. In: Pickett S.T.A., and White P.S. (Eds). The ecology of natural disturbance and patch dynamics (1985), Academic Press, New York, NY 472 pp.
27. Singh A. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing 10 (1989) 989-1003
28. Strahler A.H. Stratification of natural vegetation for forest and rangeland inventory using Landsat digital imagery and collateral data. International Journal of Remote Sensing 2 1 (1981) 15-41
29. In: Sugihara N.G., van Wagtendonk J.W., Shaffer K.E., Fites-Kaufmann J., and Thode A.E. (Eds). Fire in California ecosystems (2006), University of California Press, Berkeley, CA 596 pp.
30. Thode, A.E. (2005). Quantifying the Fire Regime Attributes of Severity and Spatial Complexity Using Field and Imagery Data. PhD Dissertation, University of California, Davis, CA.
31. Tucker C.J., and Sellers P.J. Satellite remote-sensing of primary production. International Journal of Remote Sensing 7 11 (1986) 1395-1416
32. Turner M.G., Baker W.L., Peterson C.J., and Peet R.K. Factors influencing succession: Lessons from large, infrequent natural disturbances. Ecosystems 1 (1998) 511-523
33. van Wagtendonk J.W., Root R.R., and Key C.H. Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity. Remote Sensing of Environment 92 3 (2004) 397-408
34. Vogelmann J.E., and Rock B.N. Assessing forest damage in high-elevation coniferous forests in Vermont and New-Hampshire using Thematic Mapper data. Remote Sensing of Environment 24 2 (1988) 227-246
35. White J.D., Ryan K.C., Key C.C., and Running S.W. Remote sensing of forest fire severity and vegetation recovery. International Journal of Wildland Fire 6 (1996) 125-136