158 citations as recorded by crossref.

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11. Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model J. Liu et al. 10.3390/rs13245131
12. Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas P. de Bem et al. 10.3390/rs12162576
13. Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
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15. Accuracy estimation of two global burned area products at national scale T. Katagis & I. Gitas 10.1088/1755-1315/932/1/012001
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17. Burned area detection and mapping using time series Sentinel-2 multispectral images P. Liu et al. 10.1016/j.rse.2023.113753
18. Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia H. Achour et al. 10.1080/10106049.2021.1980118
19. A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction M. Humber et al. 10.1080/01431161.2022.2027544
20. Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery A. Pacheco et al. 10.3390/rs13071345
21. Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction R. Ghali & M. Akhloufi 10.3390/fire6050192
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24. Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa M. Tanase et al. 10.3390/rs12020334
25. Validating MCD64A1 and FireCCI51 burned area mapping in the Qinghai-Tibetan Plateau Y. Huang et al. 10.1080/10106049.2023.2285345
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28. Validation of Earth Observation Time-Series: A Review for Large-Area and Temporally Dense Land Surface Products S. Mayr et al. 10.3390/rs11222616
29. High-resolution atmospheric mercury emission from open biomass burning in China: Integration of localized emission factors and multi-source finer resolution remote sensing data Z. Xu et al. 10.1016/j.envint.2023.108102
30. Exploitation of Sentinel-2 Time Series to Map Burned Areas at the National Level: A Case Study on the 2017 Italy Wildfires F. Filipponi 10.3390/rs11060622
31. A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine E. Roteta et al. 10.3390/rs13214298
32. IntelliSense silk fibroin ionotronic batteries for wildfire detection and alarm Q. Liu et al. 10.1016/j.nanoen.2022.107630
33. Assessment of Burned Areas during the Pantanal Fire Crisis in 2020 Using Sentinel-2 Images Y. Shimabukuro et al. 10.3390/fire6070277
34. Heating effect on chromium speciation and mobility in Cr-rich soils: A snapshot from New Caledonia G. Thery et al. 10.1016/j.scitotenv.2024.171037
35. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data J. Lizundia-Loiola et al. 10.3390/rs13214295
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37. Evaluating the Abilities of Satellite-Derived Burned Area Products to Detect Forest Burning in China X. Wang et al. 10.3390/rs15133260
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39. Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data G. Otón et al. 10.3390/rs11182079
40. Spatiotemporal dynamics of ecosystem fires and biomass burning-induced carbon emissions in China over the past two decades A. Chen et al. 10.1016/j.geosus.2020.03.002
41. A novel deep Siamese framework for burned area mapping Leveraging mixture of experts S. Seydi et al. 10.1016/j.engappai.2024.108280
42. Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. 10.1016/j.rse.2020.111897
43. The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile A. Miranda et al. 10.5194/essd-14-3599-2022
44. Refining historical burned area data from satellite observations V. Fernández-García & C. Kull 10.1016/j.jag.2023.103350
45. Future climate change impact on wildfire danger over the Mediterranean: the case of Greece A. Rovithakis et al. 10.1088/1748-9326/ac5f94
46. Fire decline in dry tropical ecosystems enhances decadal land carbon sink Y. Yin et al. 10.1038/s41467-020-15852-2
47. Using An Attention-Based LSTM Encoder–Decoder Network for Near Real-Time Disturbance Detection Y. Yuan et al. 10.1109/JSTARS.2020.2988324
48. Suitability of band angle indices for burned area mapping in the Maule Region (Chile) P. Oliva et al. 10.3389/ffgc.2022.1052299
49. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) G. Otón et al. 10.3390/fire4040074
50. Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review E. Kurbanov et al. 10.3390/rs14194714
51. Lightning-induced fire regime in Portugal based on satellite-derived and in situ data L. Menezes et al. 10.1016/j.agrformet.2024.110108
52. Influence of atmospheric teleconnections on interannual variability of Arctic-boreal fires Z. Zhao et al. 10.1016/j.scitotenv.2022.156550
53. Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
54. Fire, flammability and functional traits at the forefront of global change ecology R. Mitchell & A. Martin 10.1111/1365-2435.14432
55. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. 10.1088/2515-7620/ab25d2
56. Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires Y. Vetrita et al. 10.1088/1748-9326/abd3d1
57. Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine E. Roteta et al. 10.3390/rs13040816
58. Estimating the Carbon Emissions of Remotely Sensed Energy-Intensive Industries Using VIIRS Thermal Anomaly-Derived Industrial Heat Sources and Auxiliary Data X. Kong et al. 10.3390/rs14122901
59. Assessment and characterization of sources of error impacting the accuracy of global burned area products M. Franquesa et al. 10.1016/j.rse.2022.113214
60. Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
61. Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. 10.5194/nhess-21-73-2021
62. Anticipating Future Risks of Climate-Driven Wildfires in Boreal Forests S. Corning et al. 10.3390/fire7040144
63. Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
64. Analysis of Spectral Separability for Detecting Burned Areas Using Landsat-8 OLI/TIRS Images under Different Biomes in Brazil and Portugal A. Pacheco et al. 10.3390/f14040663
65. Reassessment of carbon emissions from fires and a new estimate of net carbon uptake in Russian forests in 2001–2021 A. Romanov et al. 10.1016/j.scitotenv.2022.157322
66. Validation of MCD64A1 and FireCCI51 cropland burned area mapping in Ukraine J. Hall et al. 10.1016/j.jag.2021.102443
67. The smokescreen of Russian protected areas R. Cazzolla Gatti et al. 10.1016/j.scitotenv.2021.147372
68. Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations V. Arora et al. 10.5194/bg-20-1313-2023
69. Progress and Limitations in the Satellite-Based Estimate of Burnt Areas G. Laneve et al. 10.3390/rs16010042
70. The Temporal-Based Forest Disturbance Monitoring Analysis: A Case Study of Nature Reserves of Hainan Island of China From 1987 to 2020 H. Xiao et al. 10.3389/fenvs.2022.891752
71. Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data G. Otón et al. 10.1016/j.jag.2021.102473
72. Assessing wildfire activity and forest loss in protected areas of the Amazon basin E. Da Ponte et al. 10.1016/j.apgeog.2023.102970
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76. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
77. The Landsat Burned Area algorithm and products for the conterminous United States T. Hawbaker et al. 10.1016/j.rse.2020.111801
78. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019) J. Balch et al. 10.3390/rs12213498
79. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. 10.1029/2019GB006393
80. A Comparison of Burned Area Time Series in the Alaskan Boreal Forests from Different Remote Sensing Products J. Moreno-Ruiz et al. 10.3390/f10050363
81. Detection and impacts of tiling artifacts in MODIS burned area classification T. Liu & M. Crowley 10.1088/2633-1357/abd8e2
82. Microscopic charcoals in ocean sediments off Africa track past fire intensity from the continent A. Haliuc et al. 10.1038/s43247-023-00800-x
83. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
84. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
85. Sharing Multiple Perspectives on Burning: Towards a Participatory and Intercultural Fire Management Policy in Venezuela, Brazil, and Guyana B. Bilbao et al. 10.3390/fire2030039
86. Interactions between hot and dry fuel conditions and vegetation dynamics in the 2017 fire season in Portugal T. Ermitão et al. 10.1088/1748-9326/ac8be4
87. Wildfire Burnt Area Severity Classification from UAV-Based RGB and Multispectral Imagery T. Simes et al. 10.3390/rs16010030
88. Country-level fire perimeter datasets (2001–2021) A. Mahood et al. 10.1038/s41597-022-01572-3
89. A Synergetic Approach to Burned Area Mapping Using Maximum Entropy Modeling Trained with Hyperspectral Data and VIIRS Hotspots A. Fernández-Manso & C. Quintano 10.3390/rs12050858
90. Missing Burns in the High Northern Latitudes: The Case for Regionally Focused Burned Area Products D. Chen et al. 10.3390/rs13204145
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93. Burned Area Classification Based on Extreme Learning Machine and Sentinel-2 Images J. Gajardo et al. 10.3390/app12010009
94. Regional-scale fire severity mapping of Eucalyptus forests with the Landsat archive D. Dixon et al. 10.1016/j.rse.2021.112863
95. Long term post-fire recovery of woody plants in savannas of central Brazil W. Machida et al. 10.1016/j.foreco.2021.119255
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97. Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019 J. Gonzalez-Ibarzabal et al. 10.3390/rs16071166
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106. Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data M. Guo et al. 10.1071/WF20162
107. Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon A. Pessôa et al. 10.3390/rs12233864
108. Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest S. Abdikan et al. 10.3390/f13020347
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