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

Last update:Sep 9, 2019 at 16:26:55