Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data.

[1]  A. Fernández,et al.  Automatic mapping of surfaces affected by forest fires in Spain using AVHRR NDVI composite image data , 1997 .

[2]  José M. C. Pereira,et al.  A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping , 1999, IEEE Trans. Geosci. Remote. Sens..

[3]  E. Salinero.  Remote sensing of large wildfires in the European Mediterranean Basin , 1999 .

[4]  S. Franklin.  Remote Sensing for Sustainable Forest Management , 2001 .

[5]  D. Roy,et al.  Burned area mapping using multi-temporal moderate spatial resolution data—a bi-directional reflectance model-based expectation approach , 2002 .

[6]  L. Brotóns,et al.  Forest bird diversity in Mediterranean areas affected by wildfires: a multi‐scale approach , 2002 .

[7]  Jay D. Miller,et al.  Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data , 2002 .

[8]  W. Cohen,et al.  Lidar Remote Sensing for Ecosystem Studies , 2002 .

[9]  Paul L. Patterson,et al.  Classification accuracy for stratification with remotely sensed data , 2003 .

[10]  Sergi Herrando,et al.  Does fire increase the spatial heterogeneity of bird communities in Mediterranean landscapes , 2003 .

[11]  Robert E. Schapire,et al.  The Boosting Approach to Machine Learning An Overview , 2003 .

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

[13]  P. Fulé,et al.  Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data , 2005 .

[14]  D. Verbyla,et al.  Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM , 2005 .

[15]  S. A. Lewis,et al.  Remote sensing techniques to assess active fire characteristics and post-fire effects , 2006 .

[16]  Timo Pukkala,et al.  A fire probability model for forest stands in Catalonia (north-east Spain) , 2006 .

[17]  E. Knapp,et al.  Heterogeneity in fire severity within early season and late season prescribed burns in a mixed-conifer forest* , 2006 .

[18]  G. De’ath.  Boosted trees for ecological modeling and prediction. , 2007, Ecology.

[19]  E. Johnson,et al.  How forest fires kill trees: A review of the fundamental biophysical processes , 2007 .

[20]  R. Hall,et al.  Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results , 2008 .

[21]  J. Keeley,et al.  Fire severity and ecosytem responses following crown fires in California shrublands. , 2008, Ecological applications : a publication of the Ecological Society of America.

[22]  Yichun Xie,et al.  Remote sensing imagery in vegetation mapping: a review , 2008 .

[23]  J Elith,et al.  A working guide to boosted regression trees. , 2008, The Journal of animal ecology.

[24]  J. Keeley.  Fire intensity, fire severity and burn severity: a brief review and suggested usage , 2009 .

[25]  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 .

[26]  O. Mutanga,et al.  Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review , 2010, Wetlands Ecology and Management.

[27]  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 .

[28]  Matthew B. Dickinson,et al.  Tree Injury and Mortality in Fires: Developing Process-Based Models , 2010 .

[29]  Sander Veraverbeke,et al.  The temporal dimension of differenced Normalized Burn Ratio (dNBR) fire/burn severity studies: the case of the large 2007 Peloponnese wildfires in Greece. , 2010 .

[30]  N. Coops,et al.  Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada. , 2010 .

[31]  H. Jones,et al.  Remote Sensing of Vegetation: Principles, Techniques, and Applications , 2010 .

[32]  F. Moreira,et al.  Post-fire tree mortality in mixed forests of central Portugal , 2010 .

[33]  P. Fernandes,et al.  Changes in wildfire severity from maritime pine woodland to contiguous forest types in the mountains of northwestern Portugal , 2010 .

[34]  Amr H. Abd-Elrahman,et al.  Modeling Relationships among 217 Fires Using Remote Sensing of Burn Severity in Southern Pine Forests , 2011, Remote. Sens..

[35]  Sander Veraverbeke,et al.  Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data , 2011, Remote. Sens..

[36]  Sander Veraverbeke,et al.  Evaluation of pre/post-fire differenced spectral indices for assessing burn severity in a Mediterranean environment with Landsat Thematic Mapper , 2011 .

[37]  A. D. Santis,et al.  Burn severity estimation from remotely sensed data using simulation models , 2011 .

[38]  Timo Pukkala,et al.  Predicting stand damage and tree survival in burned forests in Catalonia (North-East Spain) , 2007, Annals of Forest Science.

[39]  GrafströmAnton,et al.  Improving forest field inventories by using remote sensing data in novel sampling designs , 2013 .

[40]  Alan A. Ager,et al.  Assessing exposure of human and ecological values to wildfire in Sardinia, Italy , 2013 .

[41]  Carol Miller,et al.  A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio , 2014, Remote. Sens..

[42]  M. Salis,et al.  Large wildland fires and extreme temperatures in Sardinia (Italy) , 2014 .

[43]  Chris S Eastaugh,et al.  Extreme temperature conditions and wildland fires in Spain , 2015, Theoretical and Applied Climatology.

[44]  Robert E. Keane,et al.  Challenges of assessing fire and burn severity using field measures, remote sensing and modelling , 2014 .

[45]  Topography, Fuels, and Fire Exclusion Drive Fire Severity of the Rim Fire in an Old-Growth Mixed-Conifer Forest, Yosemite National Park, USA , 2015, Ecosystems.

[46]  Christos Zerefos,et al.  Effect of Climate Change Projections on Forest Fire Behavior and Values-at-Risk in Southwestern Greece , 2015 .

[47]  Brad Quayle,et al.  Calibration and Validation of Immediate Post-Fire Satellite-Derived Data to Three Severity Metrics , 2015, Fire Ecology.

[48]  Joshua J. Picotte,et al.  1984–2010 trends in fire burn severity and area for the conterminous US , 2016 .

[49]  Zhihua Liu.  Effects of climate and fire on short-term vegetation recovery in the boreal larch forests of Northeastern China , 2016, Scientific Reports.

[50]  Dimitris G. Stavrakoudis,et al.  Exploring the Relationship between Burn Severity Field Data and Very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece , 2016, Remote. Sens..

[51]  J. R. González-Olabarria,et al.  The effects of burning season and severity on the mortality over time of Pinus nigra spp. salzmannii (Dunal) Franco and P. sylvestris L. , 2017 .

[52]  Timothy A. Warner,et al.  High spatial resolution burn severity mapping of the New Jersey Pine Barrens with WorldView-3 near-infrared and shortwave infrared imagery , 2017 .

[53]  Carl N. Skinner,et al.  Factors influencing fire severity under moderate burning conditions in the Klamath Mountains, northern California, USA , 2017 .

[54]  Alfonso Fernández-Manso,et al.  Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity , 2018, Int. J. Appl. Earth Obs. Geoinformation.