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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef
And: Correction: RS(6), No. 12, 2014, pp. 12509-12510.
DOI Link 1412
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.
IEEE DOI 1407
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
GEOBIA BibRef

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
BibRef

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
BibRef

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

Abdollahi, M.[Masoud], Islam, T.[Tanvir], Gupta, A.[Anil], Hassan, Q.K.[Quazi K.],
An Advanced Forest Fire Danger Forecasting System: Integration of Remote Sensing and Historical Sources of Ignition Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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,
RS(8), No. 4, 2016, pp. 347.
DOI Link 1604
BibRef

Benali, A.[Akli], Russo, A.[Ana], Sá, A.C.L.[Ana C. L.], Pinto, R.M.S.[Renata M. S.], Price, O.[Owen], Koutsias, N.[Nikos], Pereira, J.M.C.[José M. C.],
Determining Fire Dates and Locating Ignition Points With Satellite Data,
RS(8), No. 4, 2016, pp. 326.
DOI Link 1604
BibRef

Lin, L.[Lei], Meng, Y.[Yu], Yue, A.Z.[An-Zhi], Yuan, Y.[Yuan], Liu, X.Y.[Xiao-Yi], Chen, J.B.[Jing-Bo], Zhang, M.M.[Meng-Meng], Chen, J.S.[Jian-Sheng],
A Spatio-Temporal Model for Forest Fire Detection Using HJ-IRS Satellite Data,
RS(8), No. 5, 2016, pp. 403.
DOI Link 1606
BibRef

Soulard, C.E.[Christopher E.], Albano, C.M.[Christine M.], Villarreal, M.L.[Miguel L.], Walker, J.J.[Jessica J.],
Continuous 1985-2012 Landsat Monitoring to Assess Fire Effects on Meadows in Yosemite National Park, California,
RS(8), No. 5, 2016, pp. 371.
DOI Link 1606
BibRef

Sparks, A.M.[Aaron M.], Kolden, C.A.[Crystal A.], Talhelm, A.F.[Alan F.], Smith, A.M.S.[Alistair M.S.], Apostol, K.G.[Kent G.], Johnson, D.M.[Daniel M.], Boschetti, L.[Luigi],
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling,
RS(8), No. 7, 2016, pp. 572.
DOI Link 1608
BibRef

Polivka, T.N., Wang, J., Ellison, L.T., Hyer, E.J., Ichoku, C.M.,
Improving Nocturnal Fire Detection With the VIIRS Day: Night Band,
GeoRS(54), No. 9, September 2016, pp. 5503-5519.
IEEE DOI 1609
remote sensing BibRef

Oom, D.[Duarte], Silva, P.C.[Pedro C.], Bistinas, I.[Ioannis], Pereira, J.M.C.[José M. C.],
Highlighting Biome-Specific Sensitivity of Fire Size Distributions to Time-Gap Parameter Using a New Algorithm for Fire Event Individuation,
RS(8), No. 8, 2016, pp. 663.
DOI Link 1609
BibRef

de Grandi, E.C.[Elsa Carla], Mitchard, E.[Edward], Hoekman, D.[Dirk],
Wavelet Based Analysis of TanDEM-X and LiDAR DEMs across a Tropical Vegetation Heterogeneity Gradient Driven by Fire Disturbance in Indonesia,
RS(8), No. 8, 2016, pp. 641.
DOI Link 1609
BibRef

Llovería, R.M.[Raquel Montorio], Pérez-Cabello, F.[Fernando], García-Martín, A.[Alberto],
Assessing post-fire ground cover in Mediterranean shrublands with field spectrometry and digital photography,
PandRS(119), No. 1, 2016, pp. 187-197.
Elsevier DOI 1610
Fire severity BibRef

Xie, H.[Huan], Du, L.[Li], Liu, S.[Sicong], Chen, L.[Lei], Gao, S.[Sa], Liu, S.[Shuang], Pan, H.Y.[Hai-Yan], Tong, X.H.[Xiao-Hua],
Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data,
IJGI(5), No. 10, 2016, pp. 172.
DOI Link 1610
BibRef

Sato, L.Y.[Luciane Yumie], Gomes, V.C.F.[Vitor Conrado Faria], Shimabukuro, Y.E.[Yosio Edemir], Keller, M.[Michael], Arai, E.[Egidio], dos-Santos, M.N.[Maiza Nara], Brown, I.F.[Irving Foster], Oliveira e Cruz de Aragão, L.E.[Luiz Eduardo],
Post-Fire Changes in Forest Biomass Retrieved by Airborne LiDAR in Amazonia,
RS(8), No. 10, 2016, pp. 839.
DOI Link 1609
BibRef

Tian, G., Ren, Y., Zhou, M.,
Dual-Objective Scheduling of Rescue Vehicles to Distinguish Forest Fires via Differential Evolution and Particle Swarm Optimization Combined Algorithm,
ITS(17), No. 11, November 2016, pp. 3009-3021.
IEEE DOI 1609
Engines BibRef

Huang, H.[Haiyan], Roy, D.P.[David P.], Boschetti, L.[Luigi], Zhang, H.K.[Hankui K.], Yan, L.[Lin], Kumar, S.S.[Sanath Sathyachandran], Gomez-Dans, J.[Jose], Li, J.[Jian],
Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination,
RS(8), No. 10, 2016, pp. 873.
DOI Link 1609
BibRef

Zhao, F.R.[Feng R.], Meng, R.[Ran], Huang, C.Q.[Cheng-Quan], Zhao, M.[Maosheng], Zhao, F.A.[Feng A.], Gong, P.[Peng], Yu, L.[Le], Zhu, Z.[Zhiliang],
Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack,
RS(8), No. 11, 2016, pp. 898.
DOI Link 1612
BibRef

Wickramasinghe, C.H.[Chathura H.], Jones, S.[Simon], Reinke, K.[Karin], Wallace, L.[Luke],
Development of a Multi-Spatial Resolution Approach to the Surveillance of Active Fire Lines Using Himawari-8,
RS(8), No. 11, 2016, pp. 932.
DOI Link 1612
BibRef

Verhegghen, A.[Astrid], Eva, H.[Hugh], Ceccherini, G.[Guido], Achard, F.[Frederic], Gond, V.[Valery], Gourlet-Fleury, S.[Sylvie], Cerutti, P.O.[Paolo Omar],
The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests,
RS(8), No. 12, 2016, pp. 986.
DOI Link 1612
BibRef

Nogueira, J.M.P.[Joana M. P.], Ruffault, J.[Julien], Chuvieco, E.[Emilio], Mouillot, F.[Florent],
Can We Go Beyond Burned Area in the Assessment of Global Remote Sensing Products with Fire Patch Metrics?,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Plank, S.[Simon], Fuchs, E.M.[Eva-Maria], Frey, C.[Corinne],
A Fully Automatic Instantaneous Fire Hotspot Detection Processor Based on AVHRR Imagery: A TIMELINE Thematic Processor,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Plank, S.[Simon], Martinis, S.[Sandro],
A Fully Automatic Burnt Area Mapping Processor Based on AVHRR Imagery: A TIMELINE Thematic Processor,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Fava, F.[Francesco], Colombo, R.[Roberto],
Remote Sensing-Based Assessment of the 2005-2011 Bamboo Reproductive Event in the Arakan Mountain Range and Its Relation with Wildfires,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Fraser, R.H.[Robert H.], van der Sluijs, J.[Jurjen], Hall, R.J.[Ronald J.],
Calibrating Satellite-Based Indices of Burn Severity from UAV-Derived Metrics of a Burned Boreal Forest in NWT, Canada,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Ayhan, B.[Bulent], Kwan, C.[Chiman],
On the use of radiance domain for burn scar detection under varying atmospheric illumination conditions and viewing geometry,
SIViP(11), No. 4, May 2017, pp. 605-612.
WWW Link. 1704
BibRef

García, M.[Mariano], Saatchi, S.[Sassan], Casas, A.[Angeles], Koltunov, A.[Alexander], Ustin, S.L.[Susan L.], Ramirez, C.[Carlos], Balzter, H.[Heiko],
Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Wang, J.J.[Jun-Jie], Wang, C.Z.[Cui-Zhen], Zang, S.Y.[Shu-Ying],
Assessing Re-Composition of Xing'an Larch in Boreal Forests after the 1987 Fire, Northeast China,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Shan, T.C.[Tian-Chan], Wang, C.L.[Chang-Lin], Chen, F.[Fang], Wu, Q.C.[Qin-Chun], Li, B.[Bin], Yu, B.[Bo], Shirazi, Z.[Zeeshan], Lin, Z.Y.[Zheng-Yang], Wu, W.[Wei],
A Burned Area Mapping Algorithm for Chinese FengYun-3 MERSI Satellite Data,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Fukuhara, T., Kouyama, T., Kato, S., Nakamura, R., Takahashi, Y., Akiyama, H.,
Detection of Small Wildfire by Thermal Infrared Camera With the Uncooled Microbolometer Array for 50-kg Class Satellite,
GeoRS(55), No. 8, August 2017, pp. 4314-4324.
IEEE DOI 1708
Brightness temperature, Cameras, Instruments, Low earth orbit satellites, Satellite broadcasting, Spatial resolution, Infrared imaging, remote sensing, satellite, applications BibRef

Engelbrecht, J.[Jeanine], Theron, A.[Andre], Vhengani, L.[Lufuno], Kemp, J.[Jaco],
A Simple Normalized Difference Approach to Burnt Area Mapping Using Multi-Polarisation C-Band SAR,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lin, Z., Chen, F., Li, B., Yu, B., Shirazi, Z., Wu, Q., Wu, W.,
FengYun-3C VIRR Active Fire Monitoring: Algorithm Description and Initial Assessment Using MODIS and Landsat Data,
GeoRS(55), No. 11, November 2017, pp. 6420-6430.
IEEE DOI 1711
Algorithm design and analysis, Earth, Heuristic algorithms, MODIS, Active fire monitoring. BibRef

Fornacca, D.[Davide], Ren, G.[Guopeng], Xiao, W.[Wen],
Performance of Three MODIS Fire Products (MCD45A1, MCD64A1, MCD14ML), and ESA Fire_CCI in a Mountainous Area of Northwest Yunnan, China, Characterized by Frequent Small Fires,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Pereira, A.A.[Allan A.], Pereira, J.M.C.[José M. C.], Libonati, R.[Renata], Oom, D.[Duarte], Setzer, A.W.[Alberto W.], Morelli, F.[Fabiano], Machado-Silva, F.[Fausto], de Carvalho, L.M.T.[Luis Marcelo Tavares],
Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Ramo, R.[Rubén], Chuvieco, E.[Emilio],
Developing a Random Forest Algorithm for MODIS Global Burned Area Classification,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Zhang, X.X.[Xiao-Xiang], Yao, J.[Jing], Sila-Nowicka, K.[Katarzyna],
Exploring Spatiotemporal Dynamics of Urban Fires: A Case of Nanjing, China,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
BibRef
Earlier: A2, A1, Only:
Spatial-temporal Dynamics Of Urban Fire Incidents: A Case Study Of Nanjing, China,
ISPRS16(B2: 63-69).
DOI Link 1610
BibRef

Mithal, V.[Varun], Nayak, G.[Guruprasad], Khandelwal, A.[Ankush], Kumar, V.[Vipin], Nemani, R.[Ramakrishna], Oza, N.C.[Nikunj C.],
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Cho, K.[Kangjoon], Kim, Y.[Yonghyun], Kim, Y.[Yongil],
Disaggregation of Landsat-8 Thermal Data Using Guided SWIR Imagery on the Scene of a Wildfire,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Myoung, B.[Boksoon], Kim, S.H.[Seung Hee], Nghiem, S.V.[Son V.], Jia, S.[Shenyue], Whitney, K.[Kristen], Kafatos, M.C.[Menas C.],
Estimating Live Fuel Moisture from MODIS Satellite Data for Wildfire Danger Assessment in Southern California USA,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Jia, S.[Shenyue], Kim, S.H.[Seung Hee], Nghiem, S.V.[Son V.], Kafatos, M.[Menas],
Estimating Live Fuel Moisture Using SMAP L-Band Radiometer Soil Moisture for Southern California, USA,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Kelly, M.[Maggi], Su, Y.J.[Yan-Jun], Di Tommaso, S.[Stefania], Fry, D.L.[Danny L.], Collins, B.M.[Brandon M.], Stephens, S.L.[Scott L.], Guo, Q.H.[Qing-Hua],
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Garg, S.[Saurabh], Forbes-Smith, N.[Nicholas], Hilton, J.[James], Prakash, M.[Mahesh],
SparkCloud: A Cloud-Based Elastic Bushfire Simulation Service,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Wu, P., Chu, F., Che, A., Zhou, M.,
Bi-Objective Scheduling of Fire Engines for Fighting Forest Fires: New Optimization Approaches,
ITS(19), No. 4, April 2018, pp. 1140-1151.
IEEE DOI 1804
Earthquakes, Emergency services, Engines, Heuristic algorithms, Processor scheduling, Routing, Scheduling, Forest fires, optimization BibRef

Axel, A.C.[Anne C.],
Burned Area Mapping of an Escaped Fire into Tropical Dry Forest in Western Madagascar Using Multi-Season Landsat OLI Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Tane, Z.[Zachary], Roberts, D.[Dar], Veraverbeke, S.[Sander], Casas, Á.[Ángeles], Ramirez, C.[Carlos], Ustin, S.[Susan],
Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Hislop, S.[Samuel], Jones, S.[Simon], Soto-Berelov, M.[Mariela], Skidmore, A.[Andrew], Haywood, A.[Andrew], Nguyen, T.H.[Trung H.],
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
See also Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data, A. BibRef

Zhuang, Y.[Yan], Li, R.[Ruiyuan], Yang, H.[Hao], Chen, D.[Danlu], Chen, Z.[Ziyue], Gao, B.[Bingbo], He, B.[Bin],
Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Fernández-García, V.[Víctor], Quintano, C.[Carmen], Taboada, A.[Angela], Marcos, E.[Elena], Calvo, L.[Leonor], Fernández-Manso, A.[Alfonso],
Remote Sensing Applied to the Study of Fire Regime Attributes and Their Influence on Post-Fire Greenness Recovery in Pine Ecosystems,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Di Biase, V.[Valeria], Laneve, G.[Giovanni],
Geostationary Sensor Based Forest Fire Detection and Monitoring: An Improved Version of the SFIDE Algorithm,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Melchiorre, A.[Andrea], Boschetti, L.[Luigi],
Global Analysis of Burned Area Persistence Time with MODIS Data,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Boonprong, S.[Sornkitja], Cao, C.X.[Chun-Xiang], Chen, W.[Wei], Bao, S.N.[Shan-Ning],
Random Forest Variable Importance Spectral Indices Scheme for Burnt Forest Recovery Monitoring: Multilevel RF-VIMP,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Parks, S.A.[Sean A.], Holsinger, L.M.[Lisa M.], Voss, M.A.[Morgan A.], Loehman, R.A.[Rachel A.], Robinson, N.P.[Nathaniel P.],
Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Ryu, J.H.[Jae-Hyun], Han, K.S.[Kyung-Soo], Hong, S.[Sungwook], Park, N.W.[No-Wook], Lee, Y.W.[Yang-Won], Cho, J.[Jaeil],
Satellite-Based Evaluation of the Post-Fire Recovery Process from the Worst Forest Fire Case in South Korea,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

García-Lázaro, J.R.[José R.], Moreno-Ruiz, J.A.[José A.], Riaño, D.[David], Arbelo, M.[Manuel],
Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982-2015 Time Series,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zhang, T.R.[Tian-Ran], Wooster, M.J.[Martin J.], de Jong, M.C.[Mark C.], Xu, W.D.[Wei-Dong],
How Well Does the 'Small Fire Boost' Methodology Used within the GFED4.1s Fire Emissions Database Represent the Timing, Location and Magnitude of Agricultural Burning?,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Cabral, A.I.R.[Ana I.R.], Silva, S.[Sara], Silva, P.C.[Pedro C.], Vanneschi, L.[Leonardo], Vasconcelos, M.J.[Maria J.],
Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees,
PandRS(142), 2018, pp. 94-105.
Elsevier DOI 1807
Burned area mapping, Genetic Programming, Savana woodlands, Classification and Regression Trees, Maximum Likelihood, Landsat ETM+/OLI BibRef

Li, X.D.[Xue-Dong], Zhang, H.Y.[Hong-Yan], Yang, G.B.[Guang-Bin], Ding, Y.L.[Yan-Ling], Zhao, J.J.[Jian-Jun],
Post-Fire Vegetation Succession and Surface Energy Fluxes Derived from Remote Sensing,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Fornacca, D.[Davide], Ren, G.[Guopeng], Xiao, W.[Wen],
Evaluating the Best Spectral Indices for the Detection of Burn Scars at Several Post-Fire Dates in a Mountainous Region of Northwest Yunnan, China,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Hally, B.[Bryan], Wallace, L.[Luke], Reinke, K.[Karin], Jones, S.[Simon], Engel, C.[Chermelle], Skidmore, A.[Andrew],
Estimating Fire Background Temperature at a Geostationary Scale: An Evaluation of Contextual Methods for AHI-8,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Michael, Y.[Yaron], Lensky, I.M.[Itamar M.], Brenner, S.[Steve], Tchetchik, A.[Anat], Tessler, N.[Naama], Helman, D.[David],
Economic Assessment of Fire Damage to Urban Forest in the Wildland-Urban Interface Using Planet Satellites Constellation Images,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Rozario, P.F.[Papia F.], Madurapperuma, B.D.[Buddhika D.], Wang, Y.J.[Yi-Jun],
Remote Sensing Approach to Detect Burn Severity Risk Zones in Palo Verde National Park, Costa Rica,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Liu, X.Z.[Xiang-Zhuo], He, B.B.[Bin-Bin], Quan, X.W.[Xing-Wen], Yebra, M.[Marta], Qiu, S.[Shi], Yin, C.M.[Chang-Ming], Liao, Z.M.[Zhan-Mang], Zhang, H.G.[Hong-Guo],
Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Martin, M.V.[Maria Val], Kahn, R.A.[Ralph A.], Tosca, M.G.[Mika G.],
A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Roberts, G.[Gareth], Wooster, M.J.[Martin J.], Xu, W.D.[Wei-Dong], He, J.[Jiangping],
Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Maffei, C.[Carmine], Alfieri, S.M.[Silvia Maria], Menenti, M.[Massimo],
Relating Spatiotemporal Patterns of Forest Fires Burned Area and Duration to Diurnal Land Surface Temperature Anomalies,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Tran, B.N.[Bang Nguyen], Tanase, M.A.[Mihai A.], Bennett, L.T.[Lauren T.], Aponte, C.[Cristina],
Evaluation of Spectral Indices for Assessing Fire Severity in Australian Temperate Forests,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Vasilakos, C.[Christos], Tsekouras, G.E.[George E.], Palaiologou, P.[Palaiologos], Kalabokidis, K.[Kostas],
Neural-Network Time-Series Analysis of MODIS EVI for Post-Fire Vegetation Regrowth,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Xie, Z.[Zixi], Song, W.G.[Wei-Guo], Ba, R.[Rui], Li, X.L.[Xiao-Lian], Xia, L.[Long],
A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Santana, N.C.[Níckolas Castro], de Carvalho Júnior, O.A.[Osmar Abílio], Gomes, R.A.T.[Roberto Arnaldo Trancoso], Guimarães, R.F.[Renato Fontes],
Burned-Area Detection in Amazonian Environments Using Standardized Time Series Per Pixel in MODIS Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Kim, S.J.[Sea Jin], Lim, C.H.[Chul-Hee], Kim, G.S.[Gang Sun], Lee, J.[Jongyeol], Geiger, T.[Tobias], Rahmati, O.[Omid], Son, Y.[Yowhan], Lee, W.K.[Woo-Kyun],
Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Jang, E.[Eunna], Kang, Y.J.[Yoo-Jin], Im, J.H.[Jung-Ho], Lee, D.W.[Dong-Won], Yoon, J.M.[Jong-Min], Kim, S.K.[Sang-Kyun],
Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Hess, K.A.[Katherine A.], Cullen, C.[Cheila], Cobian-Iñiguez, J.[Jeanette], Ramthun, J.S.[Jacob S.], Lenske, V.[Victor], Magness, D.R.[Dawn R.], Bolten, J.D.[John D.], Foster, A.C.[Adrianna C.], Spruce, J.[Joseph],
Satellite-Based Assessment of Grassland Conversion and Related Fire Disturbance in the Kenai Peninsula, Alaska,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Morresi, D.[Donato], Vitali, A.[Alessandro], Urbinati, C.[Carlo], Garbarino, M.[Matteo],
Forest Spectral Recovery and Regeneration Dynamics in Stand-Replacing Wildfires of Central Apennines Derived from Landsat Time Series,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ying, H.[Hong], Shan, Y.[Yu], Zhang, H.Y.[Hong-Yan], Yuan, T.[Tao], Rihan, W.[Wu], Deng, G.R.[Guo-Rong],
The Effect of Snow Depth on Spring Wildfires on the Hulunbuir from 2001-2018 Based on MODIS,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Henry, M.C.[Mary C.], Maingi, J.K.[John K.], McCarty, J.[Jessica],
Fire on the Water Towers: Mapping Burn Scars on Mount Kenya Using Satellite Data to Reconstruct Recent Fire History,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ba, R.[Rui], Song, W.G.[Wei-Guo], Li, X.L.[Xiao-Lian], Xie, Z.X.[Zi-Xi], Lo, S.M.[Siu-Ming],
Integration of Multiple Spectral Indices and a Neural Network for Burned Area Mapping Based on MODIS Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Sofan, P.[Parwati], Bruce, D.[David], Jones, E.[Eriita], Marsden, J.[Jackie],
Detection and Validation of Tropical Peatland Flaming and Smouldering Using Landsat-8 SWIR and TIRS Bands,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef
Earlier: Correction: RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Weber, H.[Helga], Wunderle, S.[Stefan],
Drifting Effects of NOAA Satellites on Long-Term Active Fire Records of Europe,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Fang, L.[Lei], Crocker, E.V.[Ellen V.], Yang, J.[Jian], Yan, Y.[Yan], Yang, Y.Z.[Yuan-Zheng], Liu, Z.H.[Zhi-Hua],
Competition and Burn Severity Determine Post-Fire Sapling Recovery in a Nationally Protected Boreal Forest of China: An Analysis from Very High-Resolution Satellite Imagery,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Abdollahi, M.[Masoud], Dewan, A.[Ashraf], Hassan, Q.K.[Quazi K.],
Applicability of Remote Sensing-Based Vegetation Water Content in Modeling Lightning-Caused Forest Fire Occurrences,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Jaafari, A.[Abolfazl], Mafi-Gholami, D.[Davood], Pham, B.T.[Binh Thai], Bui, D.T.[Dieu Tien],
Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Filipponi, F.[Federico],
Exploitation of Sentinel-2 Time Series to Map Burned Areas at the National Level: A Case Study on the 2017 Italy Wildfires,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Long, T.F.[Teng-Fei], Zhang, Z.M.[Zhao-Ming], He, G.J.[Guo-Jin], Jiao, W.[Weili], Tang, C.[Chao], Wu, B.F.[Bing-Fang], Zhang, X.O.[Xia-Omei], Wang, G.Z.[Gui-Zhou], Yin, R.[Ranyu],
30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Elvidge, C.D.[Christopher D.], Zhizhin, M.[Mikhail], Baugh, K.[Kimberly], Hsu, F.C.[Feng Chi], Ghosh, T.[Tilottama],
Extending Nighttime Combustion Source Detection Limits with Short Wavelength VIIRS Data,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Campanharo, W.A.[Wesley A.], Lopes, A.P.[Aline P.], Anderson, L.O.[Liana O.], da Silva, T.F.M.R.[Thiago F. M. R.], Aragão, L.E.O.C.[Luiz E. O. C.],
Translating Fire Impacts in Southwestern Amazonia into Economic Costs,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Ozaki, M.[Mitsuhiro], Aryal, J.[Jagannath], Fox-Hughes, P.[Paul],
Dynamic Wildfire Navigation System,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Carvajal-Ramírez, F.[Fernando], Marques da Silva, J.R.[José Rafael], Agüera-Vega, F.[Francisco], Martínez-Carricondo, P.[Patricio], Serrano, J.[João], Moral, F.J.[Francisco Jesús],
Evaluation of Fire Severity Indices Based on Pre- and Post-Fire Multispectral Imagery Sensed from UAV,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Zhou, L.[Lei], Wang, Y.H.[Yu-Hang], Chi, Y.G.[Yong-Gang], Wang, S.Q.[Shao-Qiang], Wang, Q.[Quan],
Contrasting Post-Fire Dynamics between Africa and South America based on MODIS Observations,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Saha, M.V.[Michael V.], d'Odorico, P.[Paolo], Scanlon, T.M.[Todd M.],
Kalahari Wildfires Drive Continental Post-Fire Brightening in Sub-Saharan Africa,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Cruz-López, M.I.[María Isabel], Manzo-Delgado, L.D.[Lilia De_Lourdes], Aguirre-Gómez, R.[Raúl], Chuvieco, E.[Emilio], Equihua-Benítez, J.A.[Julián Alberto],
Spatial Distribution of Forest Fire Emissions: A Case Study in Three Mexican Ecoregions,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Kaur, I.[Inderpreet], Hüser, I.[Imke], Zhang, T.[Tianran], Gehrke, B.[Berit], Kaiser, J.W.[Johannes W.],
Correcting Swath-Dependent Bias of MODIS FRP Observations with Quantile Mapping,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
FRP: Fire Radiative Power. Active fire monitoring. BibRef

Klein, D., Richter, R., Strobl, C., Schläpfer, D.,
Solar Influence on Fire Radiative Power Retrieved With the Bispectral Method,
GeoRS(57), No. 7, July 2019, pp. 4521-4528.
IEEE DOI 1907
Table lookup, Cameras, Sensors, MODIS, Solar radiation, Fires, Bispectral method, fire radiative power (FRP), TET-1 BibRef

Várnai, T.[Tamás], Gatebe, C.[Charles], Gautam, R.[Ritesh], Poudyal, R.[Rajesh], Su, W.[Wenying],
Developing an Aircraft-Based Angular Distribution Model of Solar Reflection from Wildfire Smoke to Aid Satellite-Based Radiative Flux Estimation,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Parks, S.A.[Sean A.], Holsinger, L.M.[Lisa M.], Koontz, M.J.[Michael J.], Collins, L.[Luke], Whitman, E.[Ellen], Parisien, M.A.[Marc-André], Loehman, R.A.[Rachel A.], Barnes, J.L.[Jennifer L.], Bourdon, J.F.[Jean-François], Boucher, J.[Jonathan], Boucher, Y.[Yan], Caprio, A.C.[Anthony C.], Collingwood, A.[Adam], Hall, R.J.[Ron J.], Park, J.[Jane], Saperstein, L.B.[Lisa B.], Smetanka, C.[Charlotte], Smith, R.J.[Rebecca J.], Soverel, N.[Nick],
Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Wei, X.Y.[Xin-Yuan], Larsen, C.P.S.[Chris P. S.],
Methods to Detect Edge Effected Reductions in Fire Frequency in Simulated Forest Landscapes,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Fernandez-Manso, A.[Alfonso], Quintano, C.[Carmen], Roberts, D.A.[Dar A.],
Burn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data,
PandRS(155), 2019, pp. 102-118.
Elsevier DOI 1908
Burn severity, EO-1 Hyperion, LiDAR, MaxEnt BibRef

Quintano, C.[Carmen], Fernández-Manso, A.[Alfonso], Calvo, L.[Leonor], Roberts, D.A.[Dar A.],
Vegetation and Soil Fire Damage Analysis Based on Species Distribution Modeling Trained with Multispectral Satellite Data,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Otón, G.[Gonzalo], Ramo, R.[Rubén], Lizundia-Loiola, J.[Joshua], Chuvieco, E.[Emilio],
Global Detection of Long-Term (1982-2017) Burned Area with AVHRR-LTDR Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Ahmed, M.R.[M. Razu], Hassan, Q.K.[Quazi K.], Abdollahi, M.[Masoud], Gupta, A.[Anil],
Introducing a New Remote Sensing-Based Model for Forecasting Forest Fire Danger Conditions at a Four-Day Scale,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Quintano, C.[Carmen], Fernandez-Manso, A.[Alfonso], Marcos, E.[Elena], Calvo, L.[Leonor],
Burn Severity and Post-Fire Land Surface Albedo Relationship in Mediterranean Forest Ecosystems,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Rihan, W.[Wu], Zhao, J.J.[Jian-Jun], Zhang, H.Y.[Hong-Yan], Guo, X.Y.[Xiao-Yi], Ying, H.[Hong], Deng, G.R.[Guo-Rong], Li, H.[Hui],
Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Karna, Y.K.[Yogendra K.], Penman, T.D.[Trent D.], Aponte, C.[Cristina], Bennett, L.T.[Lauren T.],
Assessing Legacy Effects of Wildfires on the Crown Structure of Fire-Tolerant Eucalypt Trees Using Airborne LiDAR Data,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Akay, A.E., Karas, I.R., Kahraman, I.,
Determining the Locations of Potential Firefighting Teams By Using GIS Techniques,
GeoDisast18(83-88).
DOI Link 1901
BibRef

Potter, C.[Christopher],
Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Nasanbat, E., Lkhamjav, O., Balkhai, A., Tsevee-Oirov, C., Purev, A., Dorjsuren, M.,
A Spatial Distributionmap Of The Wildfire Risk In Mongolia Using Decision Support System,
Gi4DM18(357-362).
DOI Link 1805
BibRef

Savorskiy, V., Bartalev, S., Kashnitskiy, A., Mazurov, A., Panova, O., Stytsenko, F.,
Geoinformation Tools Providing Estimations Of Vegetation Areal Damages Caused By Wild Fire Disasters,
Gi4DM18(437-444).
DOI Link 1805
BibRef

Akca, D., Stylianidis, E., Poli, D., Gruen, A., Altan, O., Hofer, M., Smagas, K., Sanchez Martin, V., Walli, A., Jimeno, E., Garcia, A.,
3-dimensional Pre- And Post-fire Comparison Of Forest Areas,
Gi4DM18(9-16).
DOI Link 1805
BibRef

Çolak, E., Sunar, A.F.,
Remote Sensing and GIS Integration for Monitoring the Areas Affected by Forest Fires: A Case Study in Izmir, Turkey,
Gi4DM18(165-170).
DOI Link 1805
BibRef

Brook, A., Polinova, M., Kopel, D., Malkinson, D., Wittenberg, L., Roberts, D., Shtober-Zisu, N.,
Remote Sensing Techniques To Assess Post-fire Effects at the Hillslope and Sub-Basin Scales Via Multi-scale Model,
Hannover17(135-141).
DOI Link 1805
BibRef

Nasanbat, E.[Elbegjargal], Lkhamjav, O.[Ochirkhuyag],
Wild Fire Risk Map In The Eastern Steppe Of Mongolia Using Spatial Multi-criteria Analysis,
ISPRS16(B1: 469-473).
DOI Link 1610
BibRef

Hally, B., Wallace, L., Reinke, K., Jones, S.,
Assessment Of The Utility Of The Advanced Himawari Imager To Detect Active Fire Over Australia,
ISPRS16(B8: 65-71).
DOI Link 1610
BibRef

Tonbul, H., Kavzoglu, T., Kaya, S.,
Assessment Of Fire Severity And Post-fire Regeneration Based On Topographical Features Using Multitemporal Landsat Imagery: A Case Study in Mersin, Turkey,
ISPRS16(B8: 763-769).
DOI Link 1610
BibRef

Alamgir, N., Boles, W., Chandran, V.,
A Model Integrating Fire Prediction and Detection for Rural-Urban Interface,
DICTA15(1-8)
IEEE DOI 1603
geophysical image processing BibRef

Homainejad, N., Rizos, C.,
Application of Multiple Categories of Unmanned Aircraft Systems (UAS) in Different Airspaces for Bushfire Monitoring and Response,
UAV-g15(55-60).
DOI Link 1512
BibRef

Chen, C.H., Chien, S.W., Ho, M.C.,
A study on fire spreading model for the safety distance between the neighborhood occupancies and historical buildings in Taiwan,
CIPA15(73-78).
DOI Link 1508
BibRef

Pastor, E., Planas, E.,
Infrared imagery on wildfire research. Some examples of sound capabilities and applications,
IPTA12(31-36)
IEEE DOI 1503
environmental science computing BibRef

Stipanicev, D., Seric, L., Braovic, M., Krstinic, D., Jakovcevic, T., Stula, M., Bugaric, M., Maras, J.,
Vision based wildfire and natural risk observers,
IPTA12(37-42)
IEEE DOI 1503
environmental science computing BibRef

Amarger, V., Ramik, D.M., Sabourin, C., Madani, K., Moreno, R., Rossi, L., Grana, M.,
Spherical coordinates framed RGB color space dichromatic reflection model based image segmentation: Application to wildland fires' outlines extraction,
IPTA12(19-24)
IEEE DOI 1503
computer vision BibRef

Schnase, J.L., Carroll, M.L., Weber, K.T., Brown, M.E., Gill, R.L., Wooten, M., May, J., Serr, K., Smith, E., Goldsby, R., Newtoff, K., Bradford, K., Doyle, C., Volker, E., Weber, S.,
RECOVER: An Automated, Cloud-Based Decision Support System for Post-Fire Rehabilitation Planning,
LandImaging14(363-370).
DOI Link 1411
BibRef

Howard, S.M., Picotte, J.J., Coan, M.J.,
Utilizing Multi-Sensor Fire Detections to Map Fires in the United States,
LandImaging14(161-166).
DOI Link 1411
BibRef

Samadzadegan, F., Saber, M., Zahmatkesh, H., Khanlou, H.J.G.[H. Joze Ghazi],
An Architecture for Automated Fire Detection Early Warning System Based on Geoprocessing Service Composition,
SMPR13(351-355).
HTML Version. 1311
BibRef

Shadlouei, A.J.[A. Jalilzadeh], Delavar, M.R.,
The Zoning of Forest Fire Potential of Gulestan Province Forests Using Granular Computing and MODIS Images,
SMPR13(365-370).
HTML Version. 1311
BibRef

Mazher, A.[Abeer], Li, P.J.[Pei-Jun], Zhang, J.[Jun],
Mapping burned areas from Landsat TM imags: A comparative study,
CVRS12(285-290).
IEEE DOI 1302
BibRef

Zhong, Z.N.[Zhi-Nong], Jing, N.[Ning], Wu, Q.Y.[Qiu-Yun], Gao, Y.[Yang],
Integration of GIS/RS/GPS for urban fire response,
CVRS12(311-316).
IEEE DOI 1302
BibRef

Chen, J.C., Chen, C.T., Jump, A.S.,
Forest Disturbance Leads To The Rapid Spread Of The Invasive Leucaena Leucocephala In Taiwan,
ISPRS12(XXXIX-B2:35-40).
DOI Link 1209
BibRef

Chuvieco, E., Sandow, C., Guenther, K.P., González-alonso, F., Pereira, J.M., Pérez, O., Bradley, A.V., Schultz, M., Mouillot, F., Ciais, P.,
Global Burned Area Mapping From European Satellites: The Esa Fire_cci Project,
ISPRS12(XXXIX-B8:13-16).
DOI Link 1209
BibRef

Mckinley, R., Clark, J., Lecker, J.,
Burn Severity Mapping In Australia 2009,
ISPRS12(XXXIX-B8:51-54).
DOI Link 1209
BibRef

Pirotti, F., Guarnieri, A., Vettore, A.,
Waveform Analysis For The Extraction Of Post-fire Vegetation Characteristics,
ISPRS12(XXXIX-B7:523-527).
DOI Link 1209
BibRef

Kusimi, J.M., Appati, J.W.,
Bushfires In The Krachi District: The Socio-economic And Environmental Implications,
ISPRS12(XXXIX-B8:39-44).
DOI Link 1209
BibRef

Solberg, S., Naesset, E.,
Mapping Defoliation with Lidar,
Laser07(379).
PDF File. 0709
BibRef

Canale, S., de Santis, A., Iacoviello, D., Pirri, F., Sagratella, S.,
High-Resolution SAR images for fire susceptibility estimation in urban forestry,
HighRes11(xx-yy).
PDF File. 1106
BibRef

Michaletz, S.T.[Sean T.], Johnson, E.A.[Edward A.],
Modeling post-fire tree mortality: sapwood area reduction in stems,
CGC10(331).
PDF File. 1006
BibRef

Mallinis, G.[Georgios], Pleniou, M., Koutsiasb, N.,
Object-Based vs. Pixel-Based Mapping of Fire Scars Using Multi-Scale Satellite Data,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Rudz, S.[Steve], Chetehouna, K.[Khaled], Hafiane, A.[Adel], Sero-Guillaume, O.[Olivier], Laurent, H.[Hélène],
On the Evaluation of Segmentation Methods for Wildland Fire,
ACIVS09(12-23).
Springer DOI 0909
BibRef

Fan, X.F.[Xiao-Feng], Rhody, H.E.,
A spatial feature enhanced MMI algorithm for multi-modal wild-fire image registration,
AIPR08(1-5).
IEEE DOI 0810
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Forest Change Evaluation, Change Detection, Temporal Analysis .

Last update:Nov 7, 2019 at 15:08:56