Mapping Fire Scars in a Mixed‐Oak Forest in Eastern Kentucky, USA, Using Landsat ETM+ Data

References

• Albrecht , M. H. and Mattson , K. E. 1977 . Fuel weights by types for Piedmont and Mountain Regions of North Carolina , 19 Raleigh, NC : North Carolina Forest Service, Office of Forest Resources . Forestry Note 30
   Google Scholar
• Anderson , H. E. 1982 . Aid to determining fuel models for estimating fire behavior , Ogden, UT : U.S., Department of Agriculture, Forest Service, Intermountain Range and Experiment Station . General Technical Report INT-122
   Google Scholar
• Anys , H. and He , D. C. 1995 . Evaluation of textural and multipolarization radar features for crop classification . IEEE Transactions on Geoscience and Remote Sensing , 33 : 1170 – 1181 .
   Web of Science ®Google Scholar
• Arthur , M. A. , Paratley , R. D. and Blankenship , B. A. 1998 . Single and repeated fires affect survival and regeneration of woody and herbaceous species in an oak‐pine forest . Journal of the Torrey Botanical Society , 125 : 225 – 236 .
   Google Scholar
• Brose , P. H. and Van Lear , D. H. 1998 . Responses of hardwood advance regeneration to seasonal prescribed fires in oak‐dominated shelterwood stands . Canadian Journal of Forest Research , 28 : 331 – 339 .
   Web of Science ®Google Scholar
• Chavez , P. S.J. 1996 . Image‐based atmospheric corrections ‐ revisited and improved . Photogrammetric Engineering and Remote Sensing , 62 : 1025 – 1036 .
   Web of Science ®Google Scholar
• Christensen , N. L. Variable fire regimes on complex landscapes: ecological consequences, policy implications, and management strategies . Fire and the environment: ecological and cultural perspectives: Proceedings of an International Symposium . Edited by: Nodvin , S. C. and Waldrop , T. A. pp. ix – xiii . Asheville, NC : Forest Service, Southeastern Forest Experiment Station, USDA .
   Google Scholar
• Chuvieco , E. and Congalton , R. G. 1988 . Mapping and inventory of forest fires from digital processing of TM data . Geocarto International , 4 : 41 – 53 .
   Google Scholar
• Chuvieco , E. , Martin , M. P. and Palacios , A. 2002 . Assessment of different spectral indices in the red‐near infrared spectral domain for burned land discrimination . International Journal of Remote Sensing , 23 : 5103 – 5110 .
   Web of Science ®Google Scholar
• Cohen , W. P. , Spies , T. and Fiorella , M. 1995 . Estimating the age and structure of forests in a multi‐ownership landscape of western Oregon, U.S.A. . International Journal of Remote Sensing , 16 : 721 – 746 .
   Web of Science ®Google Scholar
• Civco , D. 1989 . Topographic normalization of Landsat Thematic Mapper imagery . Photogrammetric Engineering and Remote Sensing , 55 : 1303 – 1309 .
   Web of Science ®Google Scholar
• Colby , J. D. 1991 . Topographic normalization in rugged terrain . Photogrammetric Engineering and Remote Sensing , 57 : 531 – 537 .
   Web of Science ®Google Scholar
• Crist , E. P. and Cicone , R. C. 1984 . A physically‐based transformation of Thematic Mapper data the TM Tasseled Cap . IEEE Transactions on Geosciences and Remote Sensing , 22 : 256 – 263 .
   Web of Science ®Google Scholar
• Ducey , M. J. , Moser , W. K. and Ashton , P. M. S. 1996 . Effect of fire intensity on understory composition and diversity in a Kalmia‐dominated oak forest, New England, U.S.A. . Vegetatio , 123 : 81 – 90 .
   Google Scholar
• Eastman , R. J. and Fulk , M. 1993 . Long sequence time series evaluation using standardized principal components . Photogrammetric Engineering and Remote Sensing , 59 : 1307 – 1312 .
   Web of Science ®Google Scholar
• Eklundh , L. and Singh , A. 1993 . Comparative analysis of standardized and unstandardized principal components analysis in remote sensing . International Journal of Remote Sensing , 14 : 1359 – 1370 .
   Web of Science ®Google Scholar
• Elliot , K. J. , Hendrick , R. L. , Major , A. E. , Vose , J. M. and Swank , W. T. 1999 . Vegetation dynamics after prescribed fire in the southern Appalachians . Forest Ecology and Management , 114 : 199 – 213 .
   Web of Science ®Google Scholar
• ERDAS . 2002 . ERDAS IMAGINE , Atlanta, Georgia : Leica Geosytems' GIS and Mapping Division .
   Google Scholar
• Eva , H. and Lambin , E. F. 1998 . Burned area mapping in central Afrca using ATSR data . International Journal of Remote Sensing , 19 : 3473 – 3497 .
   Web of Science ®Google Scholar
• Fuller , D. O. 2000 . Satellite remote sensing of biomass burning with optical and thermal sensors . Progress in Physical Geography , 24 : 543 – 561 .
   Web of Science ®Google Scholar
• Fung , T. and LeDrew , E. 1987 . Application of principal components analysis for change detection . Photogrammetric Engineering and Remote Sensing , 53 : 1649 – 1658 .
   Web of Science ®Google Scholar
• Gerard , F. , Plummer , S. , Wadsworth , R. , Sanfeliu , A. F. , Iliffe , L. , Balzter , H. and Wyatt , B. 2003 . Forest fire scar detection in the boreal forest with multitemporal SPOT‐VEGETATION data . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2575 – 2585 .
   Web of Science ®Google Scholar
• Huang , C. , Wylie , B. , Yang , L. , Homer , C. and Zylstra , G. 2002 . Derivation of a Tasseled Cap Transformation based on Landsat 7 at‐satellite reflectance . International Journal of Remote Sensing , 23 : 1741 – 1748 .
   Web of Science ®Google Scholar
• Hudak , A. T. and Brockett , B. H. 2004 . Mapping fire scars in a southern African savanna using Landsat imagery . International Journal of Remote Sensing , 20 : 3231 – 3243 .
   Google Scholar
• Huete , A. R. , Liu , H. , Batchily , K. and van Leeuwen , W. 1997 . A comparison of vegetation indices over a global set of TM images for EOS‐MODIS . Remote Sensing of Environment , 59 : 440 – 451 .
   Web of Science ®Google Scholar
• Jensen , J. R. 1996 . Introductory digital image processing: a remote sensing perspective , 316 Upper Saddle River, NJ : Prentice Hall .
   Google Scholar
• Justice , C. O. , Malingreau , J. P. and Setzer , A. 1993 . “ Satellite remote sensing of fires: potential and limitation ” . In Fire in the environment: its ecological, climatic and atmospheric chemical importance , Edited by: Clutzen , P. and Goldmeyer , J. Chichester, , UK : John Wiley and Sons .
   Google Scholar
• Kentucky Division of Forestry . 2000 . Forest Fire Database: 1970-1989, 2000 , Frankfort, Kentucky : Commonwealth of Kentucky, Kentucky Department of Natural Resources: Division of Forestry .
   Google Scholar
• Key , C. H. and Benson , N. C. 2003 . Post‐fire burn assessment by remote sensing on National Park Service lands http://www.nrmsc.usgs.gov/research/nps_burns.htm
   Google Scholar
• Koutsias , N. and Karteris , M. 1998 . Logistic regression modeling of multitemporal Thematic Mapper data for burned area mapping . International Journal of Remote Sensing , 19 : 3499 – 3514 .
   Web of Science ®Google Scholar
• Koutsias , N. and Karteris , M. 2000 . Burned area mapping using logistic regression modeling of a single post‐fire Landsat‐5 Thematic Mapper image . International Journal of Remote Sensing , 21 : 673 – 687 .
   Web of Science ®Google Scholar
• Kuhlbusch , T. A.J. and Crutzen , P. J. 1996 . “ Black carbon, the global carbon cycle, and atmospheric carbon dioxide ” . In Biomass burning and global change , Edited by: Levine , J. S. 160 – 169 . Cambridge, MA : MIT Press .
   Google Scholar
• Kushla , J. D. and Ripple , W. J. 1998 . Assessing wildfire effects with Landsat Thematic Mapper data . International Journal of Remote Sensing , 19 : 2493 – 2507 .
   Web of Science ®Google Scholar
• Li , R. , Kaufman , Y. J. , Hao , W. M. , Salmon , J. M. and Gao , B. 2004 . A technique for detecting burn scars using MODIS data . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1300 – 1308 .
   Web of Science ®Google Scholar
• Little , S. 1974 . “ Effects of fires on temperate forests ” . In Fire and ecosystems , Edited by: Kozlowski , T. T. and Ahlgren , C. E. 225 – 250 . New York : Academic Press .
   Google Scholar
• Lorimer , C. G. Causes of oak regeneration problem . Proceedings, Oak regeneration: serious problems practical recommendations . Edited by: Loftis , D. L. and McGee , C. E. pp. 14 – 39 . Asheville, NC : U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station . General Technical Report SE-84
   Google Scholar
• Medler , M. J. and Yool , S. R. 1997 . Improving TM‐based classification of wildfire induced vegetation mortality . Geocarto International , 12 : 49 – 58 .
   Google Scholar
• McCormick , N. 1999 . Satellite‐based forest mapping using Silvics software user manual , 130 Ispra, , Italy : Space Applications Institute, Commission of the European Communities, Joint Research Center .
   Google Scholar
• Minnich , R. A. 1983 . Fire mosaics in Southern California and Northern Baja California . Science , 219 : 1287 – 1294 .
   PubMed Web of Science ®Google Scholar
• Mitri , G. H. and Gitas , I. Z. The development of an object‐oriented classification model for operational burned area mapping on the Mediterranean island of Thasos using Landsat TM images . Forest Fire Research and Wildland Fire Safety: Proceedings of the IV International Conference on Forest Fire Research / 2002 Wildland Fire Safety Summit . November 18-23 2002 , Coimbra, Portugal. Edited by: Viegas , D. X. pp. 1 – 12 . Rotterdam : Millpress .
   Google Scholar
• Patterson , M. W. and Yool , S. R. 1998 . Mapping fire‐induced vegetation mortality using Landsat Thematic Mapper data: a comparison of linear transformation techniques . Remote Sensing of Environment , 65 : 132 – 142 .
   Web of Science ®Google Scholar
• Pereira , J. M. C. , Chuvieco , E. , Beaudoin , A. and Desbois , N. August 1997 . “ A review of remote sensing methods for the study of large wildfires ” . In Report of the megafires Project ENV-CT96-0256 , Edited by: Chuvieco , E. August , Alcala de Henares, , Spain : Universidad de Alcala . 1997
   Google Scholar
• Pereira , J. M. C. and Setzer , A. W. 1993 . Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia . International Journal of Remote Sensing , 14 : 2061 – 2078 .
   Web of Science ®Google Scholar
• Pyne , S. J. , Andrews , P. L. and Laven , R. D. 1996 . Introduction to wildland fire , New York, NY : John Wiley & Sons Publishing .
   Google Scholar
• Qi , J. , Chehbouni , A. , Huete , A. R. and Kerr , Y. H. 1994 . Modified soil adjusted vegetation index (MSAVI) . Remote Sensing of Environment , 48 : 119 – 126 .
   Web of Science ®Google Scholar
• Regelbrugge , J. C. and Smith , D. W. 1994 . Post‐fire tree mortality in relation to wildfire severity in mixed oak forests in the Blue Ridge of Virginia . Northern Journal of Applied Forestry , 11 : 90 – 97 .
   Google Scholar
• Richards , J. A. 1984 . Thematic mapping from multitemporal image data using the principal components analysis . Remote Sensing of Environment , 16 : 35 – 46 .
   Web of Science ®Google Scholar
• Rogan , J. and Yool , S. R. 2001 . Mapping fire‐induced vegetation depletion in the Peloncillo Mountains, Arizona and New Mexico . International Journal of Remote Sensing , 22 : 3101 – 3121 .
   Web of Science ®Google Scholar
• Rogan , J. and Franklin , J. 2001 . Mapping wildfire burn severity in southern California forests and shrublands using Enhanced Thematic Mapper imagery . Geocarto International , 16 : 91 – 101 .
   Google Scholar
• Salvador , R. and Pons , X. 1996 . Analysis of the discrimination of burned sites temporal evolution in a Mediterranean area . EARSeL Advances in Remote Sensing , 4 : 159 – 169 .
   Google Scholar
• Singh , A. and Harrison , A. 1985 . Standardized principal components . International Journal of Remote Sensing , 6 : 883 – 896 .
   Web of Science ®Google Scholar
• Van Lear , D. H. and Watt , J. M. The role of fire in oak regeneration . Oak regeneration: serious problems, practical recommendations, Symposium Proceedings . September 8-10 1992 , Knoxville, Tennessee. Edited by: Loftis , D. L. and McGee , C. E. pp. 66 – 78 . Ashville, NC : U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station . General Technical Report SE-84
   Google Scholar
• Van Wagtendonk , J. W. , Root , R. R. and Key , C. H. 2004 . Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity . Remote Sensing of Environment , 92 : 397 – 408 .
   Web of Science ®Google Scholar
• Wade , D. D. , Brock , B. L. , Brose , P. H. , Grace , J. G. , Hoch , G. A. and Patterson , I. W. A. 2000 . “ Fire in eastern ecosystems ” . In Wildland fire in ecosystems: effects of fire on flora , Edited by: Brown , J. K. and Smith , J. K. Ogden, UT : U.S. Department of Agriculture Forest Service, Rocky Mountain Research Station . General Technical Report, RMRS-GTR 42
   Google Scholar
• Watt , J. M. , Van Leah , D. H. and Williams , J. G. Fire in oak ecosystems . Proceedings of the Seventh Biennial Southern Silvicultural Research Conference . Mobile, AL. Edited by: Brissette , P. pp. 507 – 510 . New Orleans, LA : USDA Forest Service, Southern Forest Experiment Station . General Technical Report SO-93
   Google Scholar
• White , J. D. , Ryan , K. C. , Kev , C. C. and Running , S. W. 1996 . Remote sensing of forest fire severity and vegetation recovery . International Journal of Wildland Fire , 6 : 125 – 136 .
   Web of Science ®Google Scholar