Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem

Meng, Ran; Wu, Jin; Schwager, Kathy L.; Zhao, Feng; Dennison, Philip E.; Cook, Bruce D.; Brewster, Kristen; Green, Timothy M.; Serbin, Shawn P.

doi:10.1016/j.rse.2017.01.016

Title: Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem

Journal Article · Sat Jan 21 00:00:00 EST 2017 · Remote Sensing of Environment

DOI:https://doi.org/10.1016/j.rse.2017.01.016· OSTI ID:1344231

^[1]; Wu, Jin ^[1]; Schwager, Kathy L. ^[2]; Zhao, Feng ^[3]; Dennison, Philip E. ^[4]; Cook, Bruce D. ^[5]; Brewster, Kristen ^[6]; Green, Timothy M. ^[2]; Serbin, Shawn P. ^[1]

Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental Protection Division
Univ. of Maryland, College Park, MD (United States). Dept. of Geographical Sciences
Univ. of Utah, Salt Lake City, UT (United States). Dept. of Geography
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.; State Univ. of New York (SUNY), Brockport, NY (United States). College at Brockport

As a primary disturbance agent, fire significantly influences local processes and services of forest ecosystems. Although a variety of remote sensing based approaches have been developed and applied to Landsat mission imagery to infer burn severity at 30 m spatial resolution, forest burn severity have still been seldom assessed at fine spatial scales (≤ 5 m) from very-high-resolution (VHR) data. Here we assessed a 432 ha forest fire that occurred in April 2012 on Long Island, New York, within the Pine Barrens region, a unique but imperiled fire-dependent ecosystem in the northeastern United States. The mapping of forest burn severity was explored here at fine spatial scales, for the first time using remotely sensed spectral indices and a set of Multiple Endmember Spectral Mixture Analysis (MESMA) fraction images from bi-temporal — pre- and post-fire event — WorldView-2 (WV-2) imagery at 2 m spatial resolution. We first evaluated our approach using 1 m by 1 m validation points at the sub-crown scale per severity class (i.e. unburned, low, moderate, and high severity) from the post-fire 0.10 m color aerial ortho-photos; then, we validated the burn severity mapping of geo-referenced dominant tree crowns (crown scale) and 15 m by 15 m fixed-area plots (inter-crown scale) with the post-fire 0.10 m aerial ortho-photos and measured crown information of twenty forest inventory plots. Our approach can accurately assess forest burn severity at the sub-crown (overall accuracy is 84% with a Kappa value of 0.77), crown (overall accuracy is 82% with a Kappa value of 0.76), and inter-crown scales (89% of the variation in estimated burn severity ratings (i.e. Geo-Composite Burn Index (CBI)). Lastly, this work highlights that forest burn severity mapping from VHR data can capture heterogeneous fire patterns at fine spatial scales over the large spatial extents. This is important since most ecological processes associated with fire effects vary at the < 30 m scale and VHR approaches could significantly advance our ability to characterize fire effects on forest ecosystems.

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Research Organization:: Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012704; SC00112704

OSTI ID:: 1344231

Alternate ID(s):: OSTI ID: 1396881

Report Number(s):: BNL-113515-2017-JA; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000

Journal Information:: Remote Sensing of Environment, Vol. 191, Issue C; ISSN 0034-4257

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 70 works

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References (81)

The effect of post-fire stand age on the boreal forest energy balance Amiro, B. D.; Orchansky, A. L.; Barr, A. G. Agricultural and Forest Meteorology, Vol. 140, Issue 1-4 https://doi.org/10.1016/j.agrformet.2006.02.014	journal	November 2006
Detecting forest damage after a low-severity fire using remote sensing at multiple scales Arnett, John T. T. R.; Coops, Nicholas C.; Daniels, Lori D. International Journal of Applied Earth Observation and Geoinformation, Vol. 35 https://doi.org/10.1016/j.jag.2014.09.013	journal	March 2015
Fire in the Earth System Bowman, D. M. J. S.; Balch, J. K.; Artaxo, P. Science, Vol. 324, Issue 5926 https://doi.org/10.1126/science.1163886	journal	April 2009
Random Forests Breiman, Leo Machine Learning, Vol. 45, Issue 1, p. 5-32 https://doi.org/10.1023/A:1010933404324	journal	January 2001
Classifying and Mapping Wildfire Severity Brewer, C. Kenneth; Winne, J. Chris; Redmond, Roland L. Photogrammetric Engineering & Remote Sensing, Vol. 71, Issue 11 https://doi.org/10.14358/PERS.71.11.1311	journal	November 2005
Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation Canty, Morton J.; Nielsen, Allan A. Remote Sensing of Environment, Vol. 112, Issue 3 https://doi.org/10.1016/j.rse.2007.07.013	journal	March 2008
Object-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery Chen, Gang; Metz, Margaret R.; Rizzo, David M. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 102 https://doi.org/10.1016/j.isprsjprs.2015.01.004	journal	April 2015
Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery Chen, Gang; Metz, Margaret R.; Rizzo, David M. International Journal of Applied Earth Observation and Geoinformation, Vol. 40 https://doi.org/10.1016/j.jag.2015.04.005	journal	August 2015
Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study Cho, Moses Azong; Malahlela, Oupa; Ramoelo, Abel International Journal of Applied Earth Observation and Geoinformation, Vol. 38 https://doi.org/10.1016/j.jag.2015.01.015	journal	June 2015
Assessment of different spectral indices in the red-near-infrared spectral domain for burned land discrimination Chuvieco, E.; Martín, M. P.; Palacios, A. International Journal of Remote Sensing, Vol. 23, Issue 23 https://doi.org/10.1080/01431160210153129	journal	January 2002
Use of a radiative transfer model to simulate the postfire spectral response to burn severity: RTM TO SIMULATE BURN SEVERITY Chuvieco, E.; Riaño, D.; Danson, F. M. Journal of Geophysical Research: Biogeosciences, Vol. 111, Issue G4 https://doi.org/10.1029/2005JG000143	journal	August 2006
Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data Cocke, Allison E.; Fulé, Peter Z.; Crouse, Joseph E. International Journal of Wildland Fire, Vol. 14, Issue 2 https://doi.org/10.1071/WF04010	journal	January 2005
A review of assessing the accuracy of classifications of remotely sensed data Congalton, Russell G. Remote Sensing of Environment, Vol. 37, Issue 1 https://doi.org/10.1016/0034-4257(91)90048-B	journal	July 1991
NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager Cook, Bruce; Corp, Lawrence; Nelson, Ross Remote Sensing, Vol. 5, Issue 8 https://doi.org/10.3390/rs5084045	journal	August 2013
Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation Coops, Nicholas C.; Johnson, Matt; Wulder, Michael A. Remote Sensing of Environment, Vol. 103, Issue 1 https://doi.org/10.1016/j.rse.2006.03.012	journal	July 2006
Model-Dependent Variance Inflation Factor Cutoff Values Craney, Trevor A.; Surles, James G. Quality Engineering, Vol. 14, Issue 3 https://doi.org/10.1081/QEN-120001878	journal	March 2002
Wetland monitoring using classification trees and SPOT-5 seasonal time series Davranche, Aurélie; Lefebvre, Gaëtan; Poulin, Brigitte Remote Sensing of Environment, Vol. 114, Issue 3 https://doi.org/10.1016/j.rse.2009.10.009	journal	March 2010
GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data De Santis, Angela; Chuvieco, Emilio Remote Sensing of Environment, Vol. 113, Issue 3 https://doi.org/10.1016/j.rse.2008.10.011	journal	March 2009
Short-term assessment of burn severity using the inversion of PROSPECT and GeoSail models De Santis, Angela; Chuvieco, Emilio; Vaughan, Patrick J. Remote Sensing of Environment, Vol. 113, Issue 1 https://doi.org/10.1016/j.rse.2008.08.008	journal	January 2009
Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE Dennison, Philip E.; Roberts, Dar A. Remote Sensing of Environment, Vol. 87, Issue 2-3 https://doi.org/10.1016/S0034-4257(03)00135-4	journal	October 2003
A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper Dennison, Philip E.; Halligan, Kerry Q.; Roberts, Dar A. Remote Sensing of Environment, Vol. 93, Issue 3 https://doi.org/10.1016/j.rse.2004.07.013	journal	November 2004
Exploring the Relationship between Burn Severity Field Data and Very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece Dragozi, Eleni; Gitas, Ioannis; Bajocco, Sofia Remote Sensing, Vol. 8, Issue 7 https://doi.org/10.3390/rs8070566	journal	July 2016
Mapping Vegetation, Soils, and Geology in Semiarid Shrublands Using Spectral Matching and Mixture Modeling of SWIR AVIRIS Imagery Drake, Nick A.; Mackin, Steve; Settle, Jeff J. Remote Sensing of Environment, Vol. 68, Issue 1 https://doi.org/10.1016/S0034-4257(98)00097-2	journal	April 1999
A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients Dudley, Kenneth L.; Dennison, Philip E.; Roth, Keely L. Remote Sensing of Environment, Vol. 167 https://doi.org/10.1016/j.rse.2015.05.004	journal	September 2015
A Project for Monitoring Trends in Burn Severity Eidenshink, Jeff; Schwind, Brian; Brewer, Ken Fire Ecology, Vol. 3, Issue 1 https://doi.org/10.4996/fireecology.0301003	journal	June 2007
Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+ Epting, J.; Verbyla, D.; Sorbel, B. Remote Sensing of Environment, Vol. 96, Issue 3-4 https://doi.org/10.1016/j.rse.2005.03.002	journal	June 2005
Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems Fernandez-Manso, Alfonso; Quintano, Carmen; Roberts, Dar A. Remote Sensing of Environment, Vol. 184 https://doi.org/10.1016/j.rse.2016.06.015	journal	October 2016
Climate change and forest fires Flannigan, M. D.; Stocks, B. J.; Wotton, B. M. Science of The Total Environment, Vol. 262, Issue 3 https://doi.org/10.1016/S0048-9697(00)00524-6	journal	November 2000
An eddy covariance mesonet to measure the effect of forest age on land?atmosphere exchange Goulden, Michael L.; Winston, Gregory C.; McMILLAN, Andrew M. S. Global Change Biology, Vol. 12, Issue 11 https://doi.org/10.1111/j.1365-2486.2006.01251.x	journal	November 2006
Spatial Modeling in Ecology: the Flexibility of Eigenfunction Spatial Analyses Griffith, Daniel A.; Peres-Neto, Pedro R. Ecology, Vol. 87, Issue 10 https://doi.org/10.1890/0012-9658(2006)87[2603:SMIETF]2.0.CO;2	journal	October 2006
Remote sensing of fire severity in the Blue Mountains: influence of vegetation type and inferring fire intensity Hammill, Kate A.; Bradstock, Ross A. International Journal of Wildland Fire, Vol. 15, Issue 2 https://doi.org/10.1071/WF05051	journal	January 2006
Detection of spruce beetle-induced tree mortality using high- and medium-resolution remotely sensed imagery Hart, Sarah J.; Veblen, Thomas T. Remote Sensing of Environment, Vol. 168 https://doi.org/10.1016/j.rse.2015.06.015	journal	October 2015
Beyond Landsat: a comparison of four satellite sensors for detecting burn severity in ponderosa pine forests of the Gila Wilderness, NM, USA Holden, Zachary A.; Morgan, Penelope; Smith, Alistair M. S. International Journal of Wildland Fire, Vol. 19, Issue 4 https://doi.org/10.1071/WF07106	journal	January 2010
A soil-adjusted vegetation index (SAVI) Huete, A. R. Remote Sensing of Environment, Vol. 25, Issue 3 https://doi.org/10.1016/0034-4257(88)90106-X	journal	August 1988
Overview of the radiometric and biophysical performance of the MODIS vegetation indices Huete, A.; Didan, K.; Miura, T. Remote Sensing of Environment, Vol. 83, Issue 1-2 https://doi.org/10.1016/S0034-4257(02)00096-2	journal	November 2002
Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances Jin, Suming; Sader, Steven A. Remote Sensing of Environment, Vol. 94, Issue 3 https://doi.org/10.1016/j.rse.2004.10.012	journal	February 2005
Conceptual ecological models for the Long Island pitch pine barrens: implications for managing rare plant communities Jordan, Marilyn J.; Patterson, William A.; Windisch, Andrew G. Forest Ecology and Management, Vol. 185, Issue 1-2 https://doi.org/10.1016/S0378-1127(03)00252-4	journal	November 2003
Fire intensity, fire severity and burn severity: a brief review and suggested usage Keeley, Jon E. International Journal of Wildland Fire, Vol. 18, Issue 1 https://doi.org/10.1071/WF07049	journal	January 2009
Historical Changes in the pine Barrens of Central Suffolk County, new york Kurczewski, Frank E.; Boyle, Hugh F. Northeastern Naturalist, Vol. 7, Issue 2 https://doi.org/10.1656/1092-6194(2000)007[0095:HCITPB]2.0.CO;2	journal	June 2000
Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (randomForest) Lawrence, Rick L.; Wood, Shana D.; Sheley, Roger L. Remote Sensing of Environment, Vol. 100, Issue 3 https://doi.org/10.1016/j.rse.2005.10.014	journal	February 2006
Remote sensing techniques to assess active fire characteristics and post-fire effects Lentile, Leigh B.; Holden, Zachary A.; Smith, Alistair M. S. International Journal of Wildland Fire, Vol. 15, Issue 3 https://doi.org/10.1071/WF05097	journal	January 2006
Remote sensing for prediction of 1-year post-fire ecosystem condition Lentile, Leigh B.; Smith, Alistair M. S.; Hudak, Andrew T. International Journal of Wildland Fire, Vol. 18, Issue 5 https://doi.org/10.1071/WF07091	journal	January 2009
Evaluation of spectral indices for estimating burn severity in semiarid grasslands Lu, Bing; He, Yuhong; Tong, Alexander International Journal of Wildland Fire, Vol. 25, Issue 2 https://doi.org/10.1071/WF15098	journal	January 2016
Liana canopy cover mapped throughout a tropical forest with high-fidelity imaging spectroscopy Marvin, David C.; Asner, Gregory P.; Schnitzer, Stefan A. Remote Sensing of Environment, Vol. 176 https://doi.org/10.1016/j.rse.2015.12.028	journal	April 2016
Spectroscopic Analysis of Green, Desiccated and Dead Tamarisk Canopies Dennison, Philip E.; Meng, Ran Photogrammetric Engineering & Remote Sensing, Vol. 81, Issue 3 https://doi.org/10.14358/PERS.81.3.199-207	journal	March 2015
Detection of Tamarisk Defoliation by the Northern Tamarisk Beetle Based on Multitemporal Landsat 5 Thematic Mapper Imagery Meng, Ran; Dennison, Philip E.; Jamison, Levi R. GIScience & Remote Sensing, Vol. 49, Issue 4 https://doi.org/10.2747/1548-1603.49.4.510	journal	July 2012
Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California Meng, Ran; Dennison, Philip E.; Huang, Chengquan Remote Sensing of Environment, Vol. 171 https://doi.org/10.1016/j.rse.2015.10.024	journal	December 2015
Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR) Miller, Jay D.; Thode, Andrea E. Remote Sensing of Environment, Vol. 109, Issue 1 https://doi.org/10.1016/j.rse.2006.12.006	journal	July 2007
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 Miller, Jay D.; Knapp, Eric E.; Key, Carl H. Remote Sensing of Environment, Vol. 113, Issue 3 https://doi.org/10.1016/j.rse.2008.11.009	journal	March 2009
Fire type mapping using object-based classification of Ikonos imagery Mitri, George H.; Gitas, Ioannis Z. International Journal of Wildland Fire, Vol. 15, Issue 4 https://doi.org/10.1071/WF05085	journal	January 2006
Mapping the severity of fire using object-based classification of IKONOS imagery Mitri, G. H.; Gitas, I. Z. International Journal of Wildland Fire, Vol. 17, Issue 3 https://doi.org/10.1071/WF07103	journal	January 2008
Mapping post-fire forest regeneration and vegetation recovery using a combination of very high spatial resolution and hyperspectral satellite imagery Mitri, George H.; Gitas, Ioannis Z. International Journal of Applied Earth Observation and Geoinformation, Vol. 20 https://doi.org/10.1016/j.jag.2011.09.001	journal	February 2013
Challenges of assessing fire and burn severity using field measures, remote sensing and modelling Morgan, Penelope; Keane, Robert E.; Dillon, Gregory K. International Journal of Wildland Fire, Vol. 23, Issue 8 https://doi.org/10.1071/WF13058	journal	January 2014
Relative suitability of indices derived from Landsat ETM+ and SPOT 5 for detecting fire severity in sagebrush steppe Norton, J.; Glenn, N.; Germino, M. International Journal of Applied Earth Observation and Geoinformation, Vol. 11, Issue 5 https://doi.org/10.1016/j.jag.2009.06.005	journal	October 2009
Random forest classifier for remote sensing classification Pal, M. International Journal of Remote Sensing, Vol. 26, Issue 1 https://doi.org/10.1080/01431160412331269698	journal	January 2005
A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping Pereira, J. M. C. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, Issue 1 https://doi.org/10.1109/36.739156	journal	January 1999
Micro-scale post-fire surface cover changes monitored using high spatial resolution photography in a semiarid environment: A useful tool in the study of post-fire soil erosion processes Pérez-Cabello, F.; Cerdà, A.; de la Riva, J. Journal of Arid Environments, Vol. 76 https://doi.org/10.1016/j.jaridenv.2011.08.007	journal	January 2012
A modified soil adjusted vegetation index Qi, J.; Chehbouni, A.; Huete, A. R. Remote Sensing of Environment, Vol. 48, Issue 2 https://doi.org/10.1016/0034-4257(94)90134-1	journal	May 1994
Multiple Endmember Spectral Mixture Analysis (MESMA) to map burn severity levels from Landsat images in Mediterranean countries Quintano, Carmen; Fernández-Manso, Alfonso; Roberts, Dar A. Remote Sensing of Environment, Vol. 136 https://doi.org/10.1016/j.rse.2013.04.017	journal	September 2013
Relationships between Vegetational Strata in the Pine Barrens of Central Long Island, New York Reiners, W. A. Bulletin of the Torrey Botanical Club, Vol. 94, Issue 2 https://doi.org/10.2307/2483705	journal	March 1967
Assessment of vegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains RiaÃ±o, D. Remote Sensing of Environment, Vol. 79, Issue 1 https://doi.org/10.1016/S0034-4257(01)00239-5	journal	January 2002
Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models Roberts, D. A.; Gardner, M.; Church, R. Remote Sensing of Environment, Vol. 65, Issue 3 https://doi.org/10.1016/S0034-4257(98)00037-6	journal	September 1998
Evaluation of the potential of hyperion for fire danger assessment by comparison to the airborne visible/infrared imaging spectrometer Roberts, D. A.; Dennison, P. E.; Gardner, M. E. IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, Issue 6 https://doi.org/10.1109/TGRS.2003.812904	journal	June 2003
Relationships between dominant plant species, fractional cover and Land Surface Temperature in a Mediterranean ecosystem Roberts, Dar A.; Dennison, Philip E.; Roth, Keely L. Remote Sensing of Environment, Vol. 167 https://doi.org/10.1016/j.rse.2015.01.026	journal	September 2015
Burned Area Detection and Burn Severity Assessment of a Heathland Fire in Belgium Using Airborne Imaging Spectroscopy (APEX) Schepers, Lennert; Haest, Birgen; Veraverbeke, Sander Remote Sensing, Vol. 6, Issue 3 https://doi.org/10.3390/rs6031803	journal	February 2014
Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon Schroeder, Todd A.; Cohen, Warren B.; Song, Conghe Remote Sensing of Environment, Vol. 103, Issue 1 https://doi.org/10.1016/j.rse.2006.03.008	journal	July 2006
Spatial and temporal validation of the MODIS LAI and FPAR products across a boreal forest wildfire chronosequence Serbin, Shawn P.; Ahl, Douglas E.; Gower, Stith T. Remote Sensing of Environment, Vol. 133 https://doi.org/10.1016/j.rse.2013.01.022	journal	June 2013
On the errors of two estimators of sub-pixel fractional cover when mixing is linear Settle, J.; Campbell, N. IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, Issue 1 https://doi.org/10.1109/36.655326	journal	January 1998
Evaluation of linear spectral unmixing and ΔNBR for predicting post‐fire recovery in a North American ponderosa pine forest Smith, A. M. S.; Lentile, L. B.; Hudak, A. T. International Journal of Remote Sensing, Vol. 28, Issue 22 https://doi.org/10.1080/01431160701395161	journal	October 2007
Towards a new paradigm in fire severity research using dose–response experiments Smith, Alistair M. S.; Sparks, Aaron M.; Kolden, Crystal A. International Journal of Wildland Fire, Vol. 25, Issue 2 https://doi.org/10.1071/WF15130	journal	January 2016
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling Sparks, Aaron; Kolden, Crystal; Talhelm, Alan Remote Sensing, Vol. 8, Issue 7 https://doi.org/10.3390/rs8070572	journal	July 2016
Classification and regression trees Speybroeck, N. International Journal of Public Health, Vol. 57, Issue 1 https://doi.org/10.1007/s00038-011-0315-z	journal	October 2011
Red and photographic infrared linear combinations for monitoring vegetation Tucker, Compton J. Remote Sensing of Environment, Vol. 8, Issue 2 https://doi.org/10.1016/0034-4257(79)90013-0	journal	May 1979
Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity van Wagtendonk, Jan W.; Root, Ralph R.; Key, Carl H. Remote Sensing of Environment, Vol. 92, Issue 3 https://doi.org/10.1016/j.rse.2003.12.015	journal	August 2004
An alternative spectral index for rapid fire severity assessments Veraverbeke, S.; Hook, S.; Hulley, G. Remote Sensing of Environment, Vol. 123 https://doi.org/10.1016/j.rse.2012.02.025	journal	August 2012
Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009) van der Werf, G. R.; Randerson, J. T.; Giglio, L. Atmospheric Chemistry and Physics, Vol. 10, Issue 23 https://doi.org/10.5194/acp-10-11707-2010	journal	January 2010
Remote Sensing of Forest Fire Severity and Vegetation Recovery White, Jd; Ryan, Kc; Key, Cc International Journal of Wildland Fire, Vol. 6, Issue 3 https://doi.org/10.1071/WF9960125	journal	January 1996
Modeling Fire Susceptibility to Delineate Wildland–Urban Interface for Municipal-Scale Fire Risk Management Whitman, Ellen; Rapaport, Eric; Sherren, Kate Environmental Management, Vol. 52, Issue 6 https://doi.org/10.1007/s00267-013-0159-9	journal	September 2013
Structure, Production and Diversity of the Oak-Pine Forest at Brookhaven, New York Whittaker, R. H.; Woodwell, G. M. The Journal of Ecology, Vol. 57, Issue 1 https://doi.org/10.2307/2258214	journal	March 1969
Multi-temporal analysis of high spatial resolution imagery for disturbance monitoring Wulder, Michael A.; White, Joanne C.; Coops, Nicholas C. Remote Sensing of Environment, Vol. 112, Issue 6 https://doi.org/10.1016/j.rse.2008.01.010	journal	June 2008
Predicting individual tree attributes from airborne laser point clouds based on the random forests technique Yu, Xiaowei; Hyyppä, Juha; Vastaranta, Mikko ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66, Issue 1 https://doi.org/10.1016/j.isprsjprs.2010.08.003	journal	January 2011

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Title: Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem

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