Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States

[1]  J. Lutz,et al.  Can Low-Severity Fire Reverse Compositional Change in Montane Forests of the Sierra Nevada, California, USA? , 2016 .

[2]  Scott J. Goetz,et al.  The Science of Firescapes: Achieving Fire-Resilient Communities , 2016, Bioscience.

[3]  J. Abatzoglou,et al.  Climate Contributors to Forest Mosaics: Ecological Persistence Following Wildfire , 2015 .

[4]  Robert J. McGaughey,et al.  Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure , 2015 .

[5]  Alistair M. S. Smith,et al.  Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA , 2015 .

[6]  Carol Miller,et al.  Wildland fire as a self-regulating mechanism: the role of previous burns and weather in limiting fire progression. , 2015, Ecological applications : a publication of the Ecological Society of America.

[7]  B. Ripley,et al.  Recursive Partitioning and Regression Trees , 2015 .

[8]  Aaron M. Sparks,et al.  An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States , 2015 .

[9]  Malcolm P. North,et al.  Water balance and topography predict fire and forest structure patterns , 2015 .

[10]  Andrew Kliskey,et al.  Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems , 2014 .

[11]  Robert J. McGaughey,et al.  Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park , 2014 .

[12]  M. Clarke,et al.  REVIEW: Refuges for fauna in fire‐prone landscapes: their ecological function and importance , 2013 .

[13]  Crystal A. Kolden,et al.  Relationships between climate and macroscale area burned in the western United States , 2013 .

[14]  Arjan J. H. Meddens,et al.  Carbon stocks of trees killed by bark beetles and wildfire in the western United States , 2013 .

[15]  J. Feddema,et al.  Double whammy: high-severity fire and drought in ponderosa pine forests of the Southwest , 2013 .

[16]  John Rogan,et al.  Mapping Wildfire Burn Severity in the Arctic Tundra from Downsampled MODIS Data , 2013 .

[17]  J. W. Wagtendonk,et al.  Mapped versus actual burned area within wildfire perimeters: Characterizing the unburned , 2012 .

[18]  Zhe Zhu,et al.  Object-based cloud and cloud shadow detection in Landsat imagery , 2012 .

[19]  Donald McKenzie,et al.  How Robust Are Burn Severity Indices When Applied in a New Region? Evaluation of Alternate Field-Based and Remote-Sensing Methods , 2012, Remote. Sens..

[20]  R. Olshen,et al.  Points of Significance: Classification and regression trees , 2017, Nature Methods.

[21]  Charles H. Luce,et al.  Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006 , 2011 .

[22]  J. W. Wagtendonk,et al.  Fire Frequency, Area Burned, and Severity: A Quantitative Approach to Defining a Normal Fire Year , 2011 .

[23]  D. Lindenmayer,et al.  The forgotten stage of forest succession: early-successional ecosystems on forest sites , 2011 .

[24]  A. McGuire,et al.  Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data. , 2010 .

[25]  Robert A. Norheim,et al.  Forest ecosystems, disturbance, and climatic change in Washington State, USA , 2010 .

[26]  Jay D. Miller,et al.  Climate, lightning ignitions, and fire severity in Yosemite National Park, California, USA. , 2009 .

[27]  N. Crookston,et al.  Aspen, climate, and sudden decline in western USA , 2009 .

[28]  J. Logan,et al.  Impacts of climate change from 2000 to 2050 on wildfire activity and carbonaceous aerosol concentrations in the western United States , 2009 .

[29]  M. Rollins LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment , 2009 .

[30]  P. Gessler,et al.  Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA , 2009 .

[31]  Joseph W. Sherlock,et al.  Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA , 2009 .

[32]  Emilio Chuvieco,et al.  GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data , 2009 .

[33]  Jay D. Miller,et al.  Quantitative Evidence for Increasing Forest Fire Severity in the Sierra Nevada and Southern Cascade Mountains, California and Nevada, USA , 2009, Ecosystems.

[34]  J. W. Wagtendonk,et al.  Modeling the Effects of Fire Severity and Spatial Complexity on Small Mammals in Yosemite National Park, California , 2008 .

[35]  A. Hudak,et al.  Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data , 2008 .

[36]  J. W. Wagtendonk,et al.  Fire Regime Attributes of Wildland Fires in Yosemite National Park, USA , 2007 .

[37]  B. Quayle,et al.  A Project for Monitoring Trends in Burn Severity , 2007 .

[38]  S. A. Lewis,et al.  The Relationship of Multispectral Satellite Imagery to Immediate Fire Effects , 2007 .

[39]  P. Weisberg,et al.  Assessing Accuracy of Manually-mapped Wildfire Perimeters in Topographically Dissected Areas , 2007 .

[40]  A. Swengel,et al.  Benefit of permanent non-fire refugia for Lepidoptera conservation in fire-managed sites , 2007, Journal of Insect Conservation.

[41]  Jay D. Miller,et al.  Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR) , 2007 .

[42]  E. Chuvieco,et al.  Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models , 2007 .

[43]  T. Spies,et al.  Reburn severity in managed and unmanaged vegetation in a large wildfire , 2007, Proceedings of the National Academy of Sciences.

[44]  Carl H. Key,et al.  Ecological and Sampling Constraints on Defining Landscape Fire Severity , 2006 .

[45]  William L. Baker,et al.  Managing fire-prone forests in the western United States , 2006 .

[46]  Ross A. Bradstock,et al.  Remote sensing of fire severity in the Blue Mountains: influence of vegetation type and inferring fire intensity , 2006 .

[47]  David P. Roy,et al.  Remote sensing of fire severity: assessing the performance of the normalized burn ratio , 2006, IEEE Geoscience and Remote Sensing Letters.

[48]  Robert E. Wolfe,et al.  A Landsat surface reflectance dataset for North America, 1990-2000 , 2006, IEEE Geoscience and Remote Sensing Letters.

[49]  J. W. Wagtendonk,et al.  Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity , 2004 .

[50]  Garry D. Peterson Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern , 2002, Ecosystems.

[51]  S. Sader,et al.  Detection of forest harvest type using multiple dates of Landsat TM imagery , 2002 .

[52]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[53]  S. Flasse,et al.  An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah , 2001 .

[54]  G. De’ath,et al.  CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS , 2000 .

[55]  Thomas A. Spies,et al.  REGIONAL GRADIENT ANALYSIS AND SPATIAL PATTERN OF WOODY PLANT COMMUNITIES OF OREGON FORESTS , 1998 .

[56]  P. Hessburg,et al.  Predicting late-successional fire refugia pre-dating European settlement in the Wenatchee Mountains , 1997 .

[57]  S. Running,et al.  Remote Sensing of Forest Fire Severity and Vegetation Recovery , 1996 .

[58]  James E. Vogelmann,et al.  Comparison between two vegetation indices for measuring different types of forest damage in the north-eastern United States , 1990 .

[59]  Allan R. Wilks,et al.  The new S language: a programming environment for data analysis and graphics , 1988 .

[60]  C. T. Dyrness,et al.  Natural Vegetation of Oregon and Washington , 1988 .

[61]  B. Rock,et al.  Assessing forest damage in high-elevation coniferous forests in vermont and new Hampshire using thematic mapper data , 1988 .

[62]  E. Crist A TM Tasseled Cap equivalent transformation for reflectance factor data , 1985 .

[63]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[64]  Albert R. Stage,et al.  An Expression for the Effect of Aspect, Slope, and Habitat Type on Tree Growth , 1976 .

[65]  Alistair M. S. Smith,et al.  Vegetation, topography and daily weather influenced burn severity in central Idaho and western Montana forests , 2015 .

[66]  Tyler M. Bleeker Sustainability of Historic Wildfire Refugia in Contemporary Wildfire Events , 2015 .

[67]  R. McGaughey,et al.  Assessing fi re effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park , 2014 .

[68]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[69]  Robert J. McGaughey,et al.  Landscape-scale effects of fire severity on mixed-conifer and red fir forest structure in Yosemite National Park , 2013 .

[70]  J. Evans,et al.  Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics. , 2010, Ecology.

[71]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .

[72]  N. Benson,et al.  Landscape Assessment: Ground measure of severity, the Composite Burn Index; and Remote sensing of severity, the Normalized Burn Ratio , 2006 .

[73]  R. Lawrence Rule-Based Classification Systems Using Classification and Regression Tree (CART) Analysis , 2001 .

[74]  J. Agee Fire Ecology of Pacific Northwest Forests , 1993 .