Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment

Chapter Contents (Back)
Forest. Forest Fires. Fire Detection. Mostly for non-fire changes: See also Forest Change Evaluation, Change Detection, Temporal Analysis. See also Surveillance Systems, Applied to Fire and Flame Detection.

Gerard, F., Plummer, S., Wadsworth, R., Sanfeliu, A.F., Iliffe, L., Balzter, H., Wyatt, B.,
Forest fire scar detection in the boreal forest with multitemporal spot-vegetation data,
GeoRS(41), No. 11, November 2003, pp. 2575-2585.
IEEE Abstract. 0311

Shephard, M.W., Kennelly, E.J.,
Effect of band-to-band coregistration on fire property retrievals,
GeoRS(41), No. 11, November 2003, pp. 2648-2661.
IEEE Abstract. 0311

Brewer, C.K.[C. Kenneth], Winne, J.C.[J. Chris], Redmond, R.L.[Roland L.], Opitz, D.W.[David W.], Mangrich, M.V.[Mark V.],
Classifying and Mapping Wildfire Severity: A Comparison of Methods,
PhEngRS(71), No. 11, November 2005, pp. 1311-1320.
WWW Link. 0602
A comparison of six remote sensing methods for classifying and mapping wildfire severity on forests and rangelands: artificial networks, principal component analysis, and normalized temporal image differencing. BibRef

Henry, M.C.[Mary C.],
Comparison of Single- and Multi-date Landsat Data for Mapping Wildfire Scars in Ocala National Forest, Florida,
PhEngRS(74), No. 7, July 2008, pp. 881-892.
WWW Link. 0804
Datasets classified using a traditional maximum likelihood classification method and a non-parametric classification and regression tree technique. BibRef

Mims, S.R., Kahn, R.A., Moroney, C.M., Gaitley, B.J., Nelson, D.L., Garay, M.J.,
MISR Stereo Heights of Grassland Fire Smoke Plumes in Australia,
GeoRS(48), No. 1, January 2010, pp. 25-35.

Mitri, G.H., Gitas, I.Z.,
Mapping Postfire Vegetation Recovery Using EO-1 Hyperion Imagery,
GeoRS(48), No. 3, March 2010, pp. 1613-1618.

Tanase, M.A., Perez-Cabello, F., de la Riva, J., Santoro, M.,
TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain,
GeoRS(48), No. 2, February 2010, pp. 917-929.

Lhermitte, S., Verbesselt, J., Verstraeten, W.W., Veraverbeke, S., Coppin, P.,
Assessing intra-annual vegetation regrowth after fire using the pixel based regeneration index,
PandRS(66), No. 1, January 2011, pp. 17-27.
Elsevier DOI 1101
Forest fire; Monitoring; Temporal; Spatial; Vegetation BibRef

Harris, S., Veraverbeke, S., Hook, S.,
Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data,
RS(3), No. 11, November 2011, pp. 2403-2419.
DOI Link 1203

Sifakis, N., Iossifidis, C., Kontoes, C.C., Keramitsoglou, I.,
Wildfire Detection and Tracking over Greece Using MSG-SEVIRI Satellite Data,
RS(3), No. 3, March 2011, pp. 524-538.
DOI Link 1203

Zhang, X.Y.[Xiao-Yang], Kondragunta, S., Quayle, B.,
Estimation of Biomass Burned Areas Using Multiple-Satellite-Observed Active Fires,
GeoRS(49), No. 11, November 2011, pp. 4469-4482.

Listopad, C., Drake, J., Masters, R., Weishampel, J.,
Portable and Airborne Small Footprint LiDAR: Forest Canopy Structure Estimation of Fire Managed Plots,
RS(3), No. 7, July 2011, pp. 1284-1307.
DOI Link 1203

Polychronaki, A., Gitas, I.,
Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis,
RS(4), No. 2, February 2012, pp. 424-438.
DOI Link 1203

Bastarrika, A., Chuvieco, E., Martin, M.P.,
Automatic Burned Land Mapping From MODIS Time Series Images: Assessment in Mediterranean Ecosystems,
GeoRS(49), No. 9, September 2011, pp. 3401-3413.

Libonati, R., Da Camara, C.C., Pereira, J.M.C., Peres, L.F.,
Retrieving Middle-Infrared Reflectance Using Physical and Empirical Approaches: Implications for Burned Area Monitoring,
GeoRS(50), No. 1, January 2012, pp. 281-294.

Veraverbeke, S., Gitas, I., Katagis, T., Polychronaki, A., Somers, B., Goossens, R.,
Assessing post-fire vegetation recovery using red-near infrared vegetation indices: Accounting for background and vegetation variability,
PandRS(68), No. 1, March 2012, pp. 28-39.
Elsevier DOI 1204
And: Erratum: PandRS(68), No. 1, March 2012, pp. 191.
Elsevier DOI 1204
Forestry; Vegetation; Forest fire; Landsat; Spectral BibRef

Leon, J., van Leeuwen, W., Casady, G.,
Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments,
RS(4), No. 3, March 2012, pp. 598-621;.
DOI Link 1204

Gunay, O., Toreyin, B.U., Kose, K., Cetin, A.E.,
Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video,
IP(21), No. 5, May 2012, pp. 2853-2865.

Sedano, F., Kempeneers, P., Strobl, P., McInerney, D.O., San Miguel-Ayanz, J.,
Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe,
RS(4), No. 3, March 2012, pp. 726-744;.
DOI Link 1204

Kempeneers, P., Sedano, F., Strobl, P., McInerney, D.O., San Miguel-Ayanz, J.,
Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps,
GeoRS(50), No. 9, September 2012, pp. 3327-3339.

Stroppiana, D., Bordogna, G., Carrara, P., Boschetti, M., Boschetti, L., Brivio, P.A.,
A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm,
PandRS(69), No. 1, April 2012, pp. 88-102.
Elsevier DOI 1202
Fuzzy set theory; Fire perimeters; Multi-criteria approach; Mediterranean environment BibRef

Lewis, S., Robichaud, P., Hudak, A., Austin, B., Liebermann, R.,
Utility of Remotely Sensed Imagery for Assessing the Impact of Salvage Logging after Forest Fires,
RS(4), No. 7, July 2012, pp. 2112-2132.
DOI Link 1208

Magnussen, S., Wulder, M.,
Post-Fire Canopy Height Recovery in Canada's Boreal Forests Using Airborne Laser Scanner (ALS),
RS(4), No. 6, June 2012, pp. 1600-1616.
DOI Link 1208

Moreira de Araújo, F., Ferreira, L., Arantes, A.,
Distribution Patterns of Burned Areas in the Brazilian Biomes: An Analysis Based on Satellite Data for the 2002-2010 Period,
RS(4), No. 7, July 2012, pp. 1929-1946.
DOI Link 1208

Orozco, C.V.[Carmen Vega], Tonini, M.[Marj], Conedera, M.[Marco], Kanveski, M.[Mikhail],
Cluster recognition in spatial-temporal sequences: The case of forest fires,
GeoInfo(16), No. 4, October 2012, pp. 653-673.
WWW Link. 1210

Bernhard, E.M.[Eva-Maria], Twele, A.[André], Gähler, M.[Monika],
Rapid Mapping of Forest Fires in the European Mediterranean Region: A Change Detection Approach Using X-Band SAR-Data,
PFG(2011), No. 4, 2011, pp. 261-270.
WWW Link. 1211

Maier, S.W.[Stefan W.], Russell-Smith, J.[Jeremy], Edwards, A.C.[Andrew C.], Yates, C.[Cameron],
Sensitivity of the MODIS fire detection algorithm (MOD14) in the savanna region of the Northern Territory, Australia,
PandRS(76), No. 1, February 2013, pp. 11-16.
Elsevier DOI 1301
Forest fire; Thermal; Performance; Hazards; Monitoring; Detection BibRef

Honkavaara, E., Litkey, P., Nurminen, K.,
Automatic Storm Damage Detection in Forests Using High-Altitude Photogrammetric Imagery,
RS(5), No. 3, March 2013, pp. 1405-1424.
DOI Link 1304

Litkey, P., Nurminen, K., Honkavaara, E.,
Automatic Detection of Storm Damages Using High-Altitude Photogrammetric Imaging,
DOI Link 1308

Jakovevic, T.[Toni], Stipanicev, D.[Darko], Krstinic, D.[Damir],
Visual spatial-context based wildfire smoke sensor,
MVA(24), No. 4, May 2013, pp. 707-719.
WWW Link. 1304

Vastaranta, M., Kantola, T., Lyytikäinen-Saarenmaa, P., Holopainen, M., Kankare, V., Wulder, M., Hyyppä, J., Hyyppä, H.,
Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne Scanning LiDAR,
RS(5), No. 3, March 2013, pp. 1220-1234.
DOI Link 1304

Ortiz, S., Breidenbach, J., Kändler, G.,
Early Detection of Bark Beetle Green Attack Using TerraSAR-X and RapidEye Data,
RS(5), No. 4, April 2013, pp. 1912-1931.
DOI Link 1305

Huang, S.[Shengli], Jin, S.[Suming], Dahal, D.[Devendra], Chen, X.[Xuexia], Young, C.[Claudia], Liu, H.P.[He-Ping], Liu, S.G.[Shu-Guang],
Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska,
PandRS(79), No. 1, May 2013, pp. 94-105.
Elsevier DOI 1305
Alaska; Fire; Land surface; Landsat; Image reconstruction; NDVI BibRef

Pleniou, M.[Magdalini], Koutsias, N.[Nikos],
Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area,
PandRS(79), No. 1, May 2013, pp. 199-210.
Elsevier DOI 1305
Spectral properties; Sub-pixel; Burned surfaces; LANDSAT; ASTER; IKONOS BibRef

Paugam, R., Wooster, M.J., Roberts, G.,
Use of Handheld Thermal Imager Data for Airborne Mapping of Fire Radiative Power and Energy and Flame Front Rate of Spread,
GeoRS(51), No. 6, 2013, pp. 3385-3399.
flames; infrared imaging; georeferencing algorithm BibRef

Labati, R.D.[R. Donida], Genovese, A., Piuri, V., Scotti, F.,
Wildfire Smoke Detection Using Computational Intelligence Techniques Enhanced With Synthetic Smoke Plume Generation,
SMCS(43), No. 4, 2013, pp. 1003-1012.
lattice Boltzmann; neural networks; wildfire BibRef

Ko, B.C.[Byoung-Chul], Park, J.O.[Jun-Oh], Nam, J.Y.[Jae-Yeal],
Spatiotemporal bag-of-features for early wildfire smoke detection,
IVC(31), No. 10, 2013, pp. 786-795.
Elsevier DOI 1310
Wildfire smoke detection BibRef

Park, J.[Jun_Oh], Ko, B.[Byoung_Chul], Nam, J.Y.[Jae-Yeal], Kwak, S.[Soo_Yeong],
Wildfire smoke detection using spatiotemporal bag-of-features of smoke,

Pennypacker, C.R.[Carlton R.], Jakubowski, M.K.[Marek K.], Kelly, M.[Maggi], Lampton, M.[Michael], Schmidt, C.[Christopher], Stephens, S.[Scott], Tripp, R.[Robert],
FUEGO: Fire Urgency Estimator in Geosynchronous Orbit: A Proposed Early-Warning Fire Detection System,
RS(5), No. 10, 2013, pp. 5173-5192.
DOI Link 1311

Polychronaki, A.[Anastasia], Gitas, I.Z.[Ioannis Z.], Veraverbeke, S.[Sander], Debien, A.[Annekatrien],
Evaluation of ALOS PALSAR Imagery for Burned Area Mapping in Greece Using Object-Based Classification,
RS(5), No. 11, 2013, pp. 5680-5701.
DOI Link 1312

Moreno Ruiz, J.A.[José Andrés], García Lázaro, J.R.[José Rafael], del Águila Cano, I.[Isabel], Hernández Leal, P.[Pedro],
Burned Area Mapping in the North American Boreal Forest Using Terra-MODIS LTDR (2001-2011): A Comparison with the MCD45A1, MCD64A1 and BA GEOLAND-2 Products,
RS(6), No. 1, 2014, pp. 815-840.
DOI Link 1402

Bisquert, M.[Mar], Sánchez, J.M.[Juan Manuel], Caselles, V.[Vicente],
Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images,
RS(6), No. 1, 2014, pp. 540-554.
DOI Link 1402

Chu, T.[Thuan], Guo, X.[Xulin],
Remote Sensing Techniques in Monitoring Post-Fire Effects and Patterns of Forest Recovery in Boreal Forest Regions: A Review,
RS(6), No. 1, 2013, pp. 470-520.
DOI Link 1402

Yi, K.P.[Kun-Peng], Tani, H.[Hiroshi], Zhang, J.Q.[Ji-Quan], Guo, M.[Meng], Wang, X.F.[Xiu-Feng], Zhong, G.S.[Guo-Sheng],
Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China,
RS(5), No. 12, 2013, pp. 6938-6957.
DOI Link 1402

Fisher, D., Muller, J.P., Yershov, V.N.,
Automated Stereo Retrieval of Smoke Plume Injection Heights and Retrieval of Smoke Plume Masks From AATSR and Their Assessment With CALIPSO and MISR,
GeoRS(52), No. 2, February 2014, pp. 1249-1258.
geophysical techniques BibRef

Pennypacker, C.[Carlton],
FUEGO: a satellite system for rapid location of wildfires,
SPIE(Newsroom), February 14, 2014
DOI Link 1402
Combining imaging, computation, software modeling, and satellite hosting systems with firefighting methods may enable cost-effective detection and monitoring of wildland fires in their first few minutes. BibRef

Huo, H.Y.[Hong-Yuan], Jiang, X.G.[Xiao-Guang], Song, X.F.[Xian-Feng], Li, Z.L.[Zhao-Liang], Ni, Z.[Zhuoya], Gao, C.[Caixia],
Detection of Coal Fire Dynamics and Propagation Direction from Multi-Temporal Nighttime Landsat SWIR and TIR Data: A Case Study on the Rujigou Coalfield, Northwest (NW) China,
RS(6), No. 2, 2014, pp. 1234-1259.
DOI Link 1403

Tsela, P.[Philemon], Wessels, K.[Konrad], Botai, J.[Joel], Archibald, S.[Sally], Swanepoel, D.[Derick], Steenkamp, K.[Karen], Frost, P.[Philip],
Validation of the Two Standard MODIS Satellite Burned-Area Products and an Empirically-Derived Merged Product in South Africa,
RS(6), No. 2, 2014, pp. 1275-1293.
DOI Link 1403

Bishop, B.D.[Brian D.], Dietterick, B.C.[Brian C.], White, R.A.[Russell A.], Mastin, T.B.[Tom B.],
Classification of Plot-Level Fire-Caused Tree Mortality in a Redwood Forest Using Digital Orthophotography and LiDAR,
RS(6), No. 3, 2014, pp. 1954-1972.
DOI Link 1404

Freeborn, P.H.[Patrick H.], Wooster, M.J.[Martin J.], Roberts, G.[Gareth], Xu, W.D.[Wei-Dong],
Evaluating the SEVIRI Fire Thermal Anomaly Detection Algorithm across the Central African Republic Using the MODIS Active Fire Product,
RS(6), No. 3, 2014, pp. 1890-1917.
DOI Link 1404

Schepers, L.[Lennert], Haest, B.[Birgen], Veraverbeke, S.[Sander], Spanhove, T.[Toon], Vanden Borre, J.[Jeroen], Goossens, R.[Rudi],
Burned Area Detection and Burn Severity Assessment of a Heathland Fire in Belgium Using Airborne Imaging Spectroscopy (APEX),
RS(6), No. 3, 2014, pp. 1803-1826.
DOI Link 1404

Parks, S.A.[Sean A.], Dillon, G.K.[Gregory K.], Miller, C.[Carol],
A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio,
RS(6), No. 3, 2014, pp. 1827-1844.
DOI Link 1404
And: Correction: RS(6), No. 12, 2014, pp. 12509-12510.
DOI Link 1412

Padilla, M.[Marc], Stehman, S.V.[Stephen V.], Litago, J.[Javier], Chuvieco, E.[Emilio],
Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products,
RS(6), No. 3, 2014, pp. 2050-2068.
DOI Link 1404

Forsythe, K.W.[K. Wayne], McCartney, G.[Grant],
Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada,
IJGI(3), No. 1, 2014, pp. 254-273.
DOI Link 1404

Negrón-Juárez, R.I.[Robinson I.], Chambers, J.Q.[Jeffrey Q.], Hurtt, G.C.[George C.], Annane, B.[Bachir], Cocke, S.[Stephen], Powell, M.[Mark], Stott, M.[Michael], Goosem, S.[Stephen], Metcalfe, D.J.[Daniel J.], Saatchi, S.S.[Sassan S.],
Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests,
RS(6), No. 6, 2014, pp. 5633-5649.
DOI Link 1407

Le, G.E.[George E.], Breysse, P.N.[Patrick N.], McDermott, A.[Aidan], Eftim, S.E.[Sorina E.], Geyh, A.[Alison], Berman, J.D.[Jesse D.], Curriero, F.C.[Frank C.],
Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly,
IJGI(3), No. 2, 2014, pp. 713-731.
DOI Link 1407

Freeborn, P.H.[Patrick H.], Cochrane, M.A.[Mark A.], Wooster, M.J.[Martin J.],
A Decade Long, Multi-Scale Map Comparison of Fire Regime Parameters Derived from Three Publically Available Satellite-Based Fire Products: A Case Study in the Central African Republic,
RS(6), No. 5, 2014, pp. 4061-4089.
DOI Link 1407

Montealegre, A.L.[Antonio Luis], Lamelas, M.T.[María Teresa], Tanase, M.A.[Mihai A.], de la Riva, J.[Juan],
Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment,
RS(6), No. 5, 2014, pp. 4240-4265.
DOI Link 1407

Ling, B.[Bohua], Goodin, D.G.[Douglas G.], Mohler, R.L.[Rhett L.], Laws, A.N.[Angela N.], Joern, A.[Anthony],
Estimating Canopy Nitrogen Content in a Heterogeneous Grassland with Varying Fire and Grazing Treatments: Konza Prairie, Kansas, USA,
RS(6), No. 5, 2014, pp. 4430-4453.
DOI Link 1407

Katagis, T.[Thomas], Gitas, I.Z.[Ioannis Z.], Mitri, G.H.[George H.],
An Object-Based Approach for Fire History Reconstruction by Using Three Generations of Landsat Sensors,
RS(6), No. 6, 2014, pp. 5480-5496.
DOI Link 1407

Kalogirou, V., Ferrazzoli, P., Della Vecchia, A., Foumelis, M.,
On the SAR Backscatter of Burned Forests: A Model-Based Study in C-Band, Over Burned Pine Canopies,
GeoRS(52), No. 10, October 2014, pp. 6205-6215.
Backscatter BibRef

Vlassova, L.[Lidia], Pérez-Cabello, F.[Fernando], Mimbrero, M.R.[Marcos Rodrigues], Llovería, R.M.[Raquel Montorio], García-Martín, A.[Alberto],
Analysis of the Relationship between Land Surface Temperature and Wildfire Severity in a Series of Landsat Images,
RS(6), No. 7, 2014, pp. 6136-6162.
DOI Link 1408

da Silva Cardozo, F.[Francielle], Pereira, G.[Gabriel], Shimabukuro, Y.E.[Yosio Edemir], Moraes, E.C.[Elisabete Caria],
Analysis and Assessment of the Spatial and Temporal Distribution of Burned Areas in the Amazon Forest,
RS(6), No. 9, 2014, pp. 8002-8025.
DOI Link 1410

Bernhard, E.M.[Eva-Maria], Twele, A.[André], Martinis, S.[Sandro],
The Effect of Vegetation Type and Density on X-Band SAR Backscatter after Forest Fires,
PFG(2014), No. 4, 2014, pp. 275-285.
DOI Link 1410

Daldegan, G.A.[Gabriel Antunes], de Carvalho, O.A.[Osmar Abílio], Guimarães, R.F.[Renato Fontes], Gomes, R.A.T.[Roberto Arnaldo Trancoso], de Figueiredo Ribeiro, F.[Fernanda], McManus, C.[Concepta],
Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil,
RS(6), No. 10, 2014, pp. 9873-9894.
DOI Link 1411

Dragozi, E.[Eleni], Gitas, I.Z.[Ioannis Z.], Stavrakoudis, D.G.[Dimitris G.], Theocharis, J.B.[John B.],
Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery,
RS(6), No. 12, 2014, pp. 12005-12036.
DOI Link 1412

Dragozi, E.[Eleni], Gitas, I.Z.[Ioannis Z.], Bajocco, S.[Sofia], Stavrakoudis, D.G.[Dimitris G.],
Exploring the Relationship between Burn Severity Field Data and Very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece,
RS(8), No. 7, 2016, pp. 566.
DOI Link 1608

Bastarrika, A.[Aitor], Alvarado, M.[Maite], Artano, K.[Karmele], Martinez, M.P.[Maria Pilar], Mesanza, A.[Amaia], Torre, L.[Leyre], Ramo, R.[Rubén], Chuvieco, E.[Emilio],
BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data,
RS(6), No. 12, 2014, pp. 12360-12380.
DOI Link 1412

Safronov, A.N.[Alexander N.], Fokeeva, E.V.[Ekaterina V.], Rakitin, V.S.[Vadim S.], Grechko, E.I.[Eugene I.], Shumsky, R.A.[Roman A.],
Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations,
RS(7), No. 1, 2014, pp. 395-429.
DOI Link 1502

Chen, G.[Gang], Metz, M.R.[Margaret R.], Rizzo, D.M.[David M.], Dillon, W.W.[Whalen W.], Meentemeyer, R.K.[Ross K.],
Object-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery,
PandRS(102), No. 1, 2015, pp. 38-47.
Elsevier DOI 1503

Stroppiana, D.[Daniela], Azar, R.[Ramin], Calò, F.[Fabiana], Pepe, A.[Antonio], Imperatore, P.[Pasquale], Boschetti, M.[Mirco], Silva, J.M.N.[João M. N.], Brivio, P.A.[Pietro A.], Lanari, R.[Riccardo],
Integration of Optical and SAR Data for Burned Area Mapping in Mediterranean Regions,
RS(7), No. 2, 2015, pp. 1320-1345.
DOI Link 1503

Gross, B.[Barry], Wu, Y.H.[Yong-Hua], Moshary, F.[Fred], Delgado, R.[Ruben], Hoff, R.[Ray], Su, J.[Jia], Lee, R.[Robert], McCormick, P.[Pat],
Using lidar networks to explore aloft plume properties,
SPIE(Newsroom), December 30, 2014
DOI Link 1504
A coordinated lidar network in the northeastern United States explored the optical properties of transported plumes from fires and dust and diagnosed chemical transport model concentration biases. BibRef

Chowdhury, E.H.[Ehsan H.], Hassan, Q.K.[Quazi K.],
Development of a New Daily-Scale Forest Fire Danger Forecasting System Using Remote Sensing Data,
RS(7), No. 3, 2015, pp. 2431-2448.
DOI Link 1504

Chowdhury, E.H.[Ehsan H.], Hassan, Q.K.[Quazi K.],
Operational perspective of remote sensing-based forest fire danger forecasting systems,
PandRS(104), No. 1, 2015, pp. 224-236.
Elsevier DOI 1505
Fire occurrence BibRef

Li, X.L.[Xiao-Lian], Song, W.G.[Wei-Guo], Lian, L.P.[Li-Ping], Wei, X.G.[Xiao-Ge],
Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data,
RS(7), No. 4, 2015, pp. 4473-4498.
DOI Link 1505

Nioti, F.[Foula], Xystrakis, F.[Fotios], Koutsias, N.[Nikos], Dimopoulos, P.[Panayotis],
A Remote Sensing and GIS Approach to Study the Long-Term Vegetation Recovery of a Fire-Affected Pine Forest in Southern Greece,
RS(7), No. 6, 2015, pp. 7712.
DOI Link 1507

de Carvalho Júnior, O.A.[Osmar Abílio], Guimarães, R.F.[Renato Fontes], Silva, C.R.[Cristiano Rosa], Gomes, R.A.T.[Roberto Arnaldo Trancoso],
Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset,
RS(7), No. 6, 2015, pp. 6950.
DOI Link 1507
See also New Approach to Change Vector Analysis Using Distance and Similarity Measures, A. BibRef

Borrelli, P.[Pasquale], Armenteras, D.[Dolors], Panagos, P.[Panos], Modugno, S.[Sirio], Schütt, B.[Brigitta],
The Implications of Fire Management in the Andean Paramo: A Preliminary Assessment Using Satellite Remote Sensing,
RS(7), No. 9, 2015, pp. 11061.
DOI Link 1511

Libonati, R.[Renata], DaCamara, C.C.[Carlos C.], Setzer, A.W.[Alberto W.], Morelli, F.[Fabiano], Melchiori, A.E.[Arturo E.],
An Algorithm for Burned Area Detection in the Brazilian Cerrado Using 4 µm MODIS Imagery,
RS(7), No. 11, 2015, pp. 15782.
DOI Link 1512

Sánchez, J.M.[Juan M.], Bisquert, M.[Mar], Rubio, E.[Eva], Caselles, V.[Vicente],
Impact of Land Cover Change Induced by a Fire Event on the Surface Energy Fluxes Derived from Remote Sensing,
RS(7), No. 11, 2015, pp. 14899.
DOI Link 1512

Toulouse, T., Rossi, L., Akhloufi, M., Celik, T., Maldague, X.,
Benchmarking of wildland fire colour segmentation algorithms,
IET-IPR(9), No. 12, 2015, pp. 1064-1072.
DOI Link 1512
fires BibRef

Li, P.[Peng], Feng, Z.M.[Zhi-Ming],
Extent and Area of Swidden in Montane Mainland Southeast Asia: Estimation by Multi-Step Thresholds with Landsat-8 OLI Data,
RS(8), No. 1, 2016, pp. 44.
DOI Link 1602
slash and burn analysis. BibRef

Bui, D.T.[Dieu Tien], Le, K.T.T.[Kim-Thoa Thi], Nguyen, V.C.[Van Cam], Le, H.D.[Hoang Duc], Revhaug, I.[Inge],
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression,
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Forest Change Evaluation, Change Detection, Temporal Analysis .

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