Relative suitability of indices derived from Landsat ETM+ and SPOT 5 for detecting fire severity in sagebrush steppe

International Journal of Applied Earth Observation and Geoinformation

Volumn 11, Issue 5, 2009, Pages 360-367

  Norton, J ^a   Glenn, N ^b   Germino, M ^b   Weber, K ^b   Seefeldt, S ^c  

^a Power Engineers Incorporated   (United States)

^b IDAHO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF ALASKA FAIRBANKS   (United States)

Author keywords

Burn severity; Land cover; Rangeland; Satellite; Spectral sensitivity

Indexed keywords

BURNING; LAND COVER; LANDSAT THEMATIC MAPPER; RANGELAND; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; SPOT; STEPPE; VEGETATION INDEX; WILDFIRE;

ARTEMISIA TRIDENTATA;

EID: 67651048555     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2009.06.005     Document Type: Article

References (50)

1. Asner G.P. Biophysical remote sensing signatures of arid and semiarid ecosystems. In: Ustin S.L. (Ed). Remote Sensing for Natural Resource Management and Environmental Monitoring. third ed. vol. 4 (2004), John Wiley & Sons Inc., New Jersey 53-109
2. Asner G.P., and Heidebrecht K.B. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations. International Journal of Remote Sensing 23 (2002) 3939-3958
3. Bobbe, T., Finco, M., Sohlberg, R., 2001. Field measurements for the training and validation of burn severity maps from spaceborne, remotely sensed imagery. USDA Joint Fire Science Program Final Project Report JSP RFP-2001-2. Available online at: http://www.fs.fed.us/eng/rsac/baer/jfs.html (accessed 15 October, 2006).
4. Brewer C.K., 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 (2005) 1311-1320
5. Cocke A.E., Fule 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
6. Congalton R., and Green K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (1999), CRC Press, Inc., Washington, D.C.
7. Epting J., and Verbyla D. Landscape-level interactions of pre-fire vegetation, burn severity, and post-fire vegetation over a 16-year period in interior Alaska. Canadian Journal of Forest Research 35 (2005) 1367-1377
8. 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 (2005) 328-339
9. Flasse S., Trigg S., Ceccato P., Perryman A., Hudak A., Thompson M., Brockett B., Dramé M., Ntabeni T., Frost P., Landmann T., and le Roux J. Remote sensing of vegetation fires and its contribution to a fire management information system. In: Goldammer J.G., and de Ronde C. (Eds). Wildfire Management Handbook for Sub-Sahara Africa (2004), SPB Publishing, The Hague, Netherlands 158-211
10. Floyd D.A., and Anderson J.E. A new point interception frame for estimating cover of vegetation. Vegetatio 50 (1982) 185-186
11. Floyd D.A., and Anderson J.E. A comparison of three methods for estimating plant cover. Journal of Ecology 75 (1987) 221-228
12. Gerard F., Plummer S., Wadsworth R., Ferreruela Sanfeliu A., Iliffe L., Balzter H., and Wyatt B. Forest fire scar detection in the boreal forest with multitemporal SPOT-VEGETATION data. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 2575-2585
13. Harniss R.O., and Murray R.B. Thirty years of vegetal change following burning of sagebrush-grass range. Journal of Range Management 26 (1973) 322-325
14. Holden Z.A., Smith A.M.S., morgan P., Rollins M.G., and Gessler P.E. Evaluation of novel thermally enhanced spectral indices for mapping fire perimeters and comparisons with fire atlas data. International Journal of Remote Sensing 26 (2005) 4801-4808
15. Huete A.R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25 (1988) 295-309
16. Kaufman Y.J., and Tanre D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transactions on Geoscience and Remote Sensing 30 (1992) 261-270
17. Kaufman Y.J., and Remer L.A. Detection of forests using mid-IR reflectance: an application for aerosol studies. IEEE Transactions on Geoscience and Remote Sensing 32 (1994) 672-683
18. Key, C.H., Benson, N.C., 1999a. The Composite Burn Index (CBI): Field Rating of Burn Severity. Available online at: http://www.nrmsc.usgs.gov/research/cbi.htm (accessed 28 July, 2006).
19. Key, C.H., Benson, N.C., 1999b. The Normalized Burn Ratio (NBR): A Landsat TM Radiometric Index of Burn Severity. Available online at: http://www.nrmsc.usgs.gov/research/ndbr.htm (accessed 28 July, 2006).
20. Key C.H., and Benson N.C. Remote sensing measure of severity: the normalized burn ratio. In: Lutes D.C., Keane R.E., Caratti J.F., Key C.H., Benson N.C., and Gangi L.J. (Eds). FIREMON: Fire Effects Monitoring and Inventory System, U.S. Department of Agriculture, Forest Service (2004), Rocky Mountain Research Station, Ogden, UT LA10
21. Key, C.H., Benson, N.C., 2004b. Ground measure of severity, the composite burn index. In: Lutes, D.C., Keane, R.E., Caratti, J.F., Key, C.H., Benson, N.C., Gangi, L.J. (Eds.), FIREMON: Fire Effects Monitoring and Inventory System. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden, UT, pp. LA_CBI_Plot-1-9.
22. Key, C.H., Benson, N.C., 2006. Landscape assessment (LA) sampling and analysis methods. USDA Forest Service General Technical Report. RMRS-GTR-164-CD, Ogden, UT, p. 55.
23. Lentile L.B., Holden Z., Smith A.M.S., Falkowski M.J., Hudak A.T., Morgan P., Gessler P.E., and Benson N.C. Remote sensing techniques to assess active fire and post-fire effects. International Journal of Wildland Fire 5 (2006) 1-27
24. Lopez Garcia M.J., and Caselles V. Mapping burns and natural reforestation using thematic mapper data. Geocarto International 6 (1991) 31-37
25. Miller J.D., and Thode A.E. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109 (2007) 66-80
26. 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 (2002) 481-496
27. Okin G.S., Roberts D.A., Murray B., and Okin W.J. Practical limits on hyperspectral vegetation discrimination in arid and semiarid environments. Remote Sensing of Environment 77 (2001) 212-225
28. Patterson M.W., and Yool S.R. Mapping fire-induced vegetation mortality using Landsat Thematic Mapper data: A comparison of linear transformation techniques. Remote Sensing of Environment 65 (1998) 132-142
29. Pereira J.M.C. A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping. IEEE Transactions on Geoscience and Remote Sensing 37 (1999) 217-226
30. Qi J., Chehbouni A., Heute A.R., Kerr Y.H., and Sorooshian S. A modified soil adjusted vegetation index. Remote Sensing of Environment 48 (1994) 119-126
31. Richards J.A., and Jia X. Remote Sensing Digital Image Analysis (2005), Springer-Verlag, New York
32. Roy D.P. Multi-temporal active-fire based burn scar detection algorithm. International Journal of Remote Sensing 20 (1999) 1031-1038
33. Roy D.P., Boschetti L., and Trigg S.N. Remote sensing of fire severity: assessing the performance of the normalized burn ratio. IEEE Geoscience and Remote Sensing Letters 3 (2006) 112-116
34. Ruiz-Gallardo J.R., Castańo S., and Calera A. Application of remote sensing and GIS to locate priority intervention areas after wildland fires in Mediterranean systems: a case study from south-eastern Spain. International Journal of Wildland Fire 13 (2004) 241-252
35. Ryan, K.C., Noste, N.V., 1983. Evaluating prescribed fires. In: Missoula, M.T., Lotan, J.E., Kilgore, B.M., Fischer, W.C., Mutch, R.W. (Eds.), Proceedings of the Symposium and Workshop on Wilderness Fire, 15-18 November 1983. USDA Forest Service, Intermountain Forest and Range Experiment Station General Technical Report INT-GTR-182. Ogden, UT, pp. 230-238.
36. Salvador R., Valeriano J., Pons X., and Diaz-Delgado R. A semi-automatic methodology to detect fire scars in shrubs and evergreen forests with Landsat MSS time series. International Journal of Remote Sensing 21 (2000) 655-671
37. Sannier, C., 1999. Strategic monitoring of crop yields and rangeland conditions in southern Africa with remote sensing. PhD Dissertation. Cranfield University, Silsoe Bedfordshire, UK.
38. Santos T.G., Caetano M.R., Barbosa P.M., and Paúl J.U. A comparative study of vegetation indices to assess land cover change after forest fires. In: Cecchi G., Engman E.T., and Zilioli E. (Eds). Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, Proceedings of SPIE, vol. 3868. Florence, Italy, 1999 (1999) 232-240
39. Seefeldt S.S. Consequences of selecting rambouilllet ewes for mountain big sagebrush (Artemisia tridentata ssp. vaseyana) dietary preference. Rangeland Ecology and Management 58 (2005) 380-384
40. Smith A.M.S., Wooster M.J., Drake N.A., Dipotso F.M., Falkowski M.J., and Hudak A.T. Testing the potential of multi-spectral remote sensing for retrospectively estimating fire severity in African savannahs. Remote Sensing of Environment 97 (2005) 92-115
41. Smith A.M.S., Drake N.A., Wooster M.J., Hudak A.T., Holden Z.A., and Gibbons C.J. Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: comparison of methods and application to MODIS. International Journal of Remote Sensing 28 (2007) 2753-2775
42. Turner M.G., Hargrove W.W., Gardner R.H., and Romme W.H. Effects of fire on landscape heterogeneity in Yellowstone National Park, Wyoming. Journal of Vegetation Science 5 (1994) 731-742
43. National Park Service U.S.D.I. Fire Monitoring Handbook (2003), Fire Management Program Center, National Interagency Fire Center, Boise, ID
44. 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 (2004) 397-408
45. Weber K.T. Challenges of integrating geospatial technologies into rangeland research and management. Rangeland Ecology and Management 59 (2006) 38-43
46. Weber K.T., Theau J., and Serr K. Effect of coregistration error on patchy target detection using high-resolution imagery. Remote Sensing of Environment 112 (2008) 845-850
47. West N.E., and Young J.A. Intermountain valleys and lower mountain slopes. In: Barbour M.G., and Billings W.D. (Eds). North American Terrestrial Vegetation (2000), Cambridge University Press, Cambridge, UK 255-284
48. Whisenant, S.G., 1990. Changing fire frequencies on Idaho's Snake River Plains: ecological and management implications. In: McArthur, E.D., Romney, E.M., Smith, S.D., Tueller, P.T. (Eds.), Proceedings of the Symposium on Cheatgrass Invasion, Shrub Die-off and Other Aspects of Shrub Biology and Management. USDA General Technical Report INT-276, Ogden, UT, pp. 4-10.
49. 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
50. Wimberly M.C., and Reilly M.J. Assessment of fire severity and species diversity in the southern Appalachians using Landsat TM and ETM+ imagery. Remote Sensing of Environment 108 (2007) 189-197