171 citations as recorded by crossref.

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15. Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
16. Accounting for forest fire risks: global insights for climate change mitigation L. Chu et al. 10.1007/s11027-023-10087-0
17. Accuracy estimation of two global burned area products at national scale T. Katagis & I. Gitas 10.1088/1755-1315/932/1/012001
18. Temporal Anomalies in Burned Area Trends: Satellite Estimations of the Amazonian 2019 Fire Crisis J. Lizundia-Loiola et al. 10.3390/rs12010151
19. Burned area detection and mapping using time series Sentinel-2 multispectral images P. Liu et al. 10.1016/j.rse.2023.113753
20. 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
21. 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
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26. Optimizing afforestation and reforestation strategies to enhance ecosystem services in critically degraded regions . Fahrudin et al. 10.1016/j.tfp.2024.100700
27. Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa M. Tanase et al. 10.3390/rs12020334
28. 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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31. Validation of Earth Observation Time-Series: A Review for Large-Area and Temporally Dense Land Surface Products S. Mayr et al. 10.3390/rs11222616
32. 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
33. 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
34. A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine E. Roteta et al. 10.3390/rs13214298
35. IntelliSense silk fibroin ionotronic batteries for wildfire detection and alarm Q. Liu et al. 10.1016/j.nanoen.2022.107630
36. Assessment of Burned Areas during the Pantanal Fire Crisis in 2020 Using Sentinel-2 Images Y. Shimabukuro et al. 10.3390/fire6070277
37. 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
38. Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards M. Kouachi et al. 10.3390/rs16132500
39. 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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41. 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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43. Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data G. Otón et al. 10.3390/rs11182079
44. 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
45. A novel deep Siamese framework for burned area mapping Leveraging mixture of experts S. Seydi et al. 10.1016/j.engappai.2024.108280
46. Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. 10.1016/j.rse.2020.111897
47. High Resolution (30 m) Burned Area Product Improves the Ability for Carbon Emission Estimation in Africa B. Qi et al. 10.1029/2024EF005051
48. The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile A. Miranda et al. 10.5194/essd-14-3599-2022
49. Refining historical burned area data from satellite observations V. Fernández-García & C. Kull 10.1016/j.jag.2023.103350
50. Future climate change impact on wildfire danger over the Mediterranean: the case of Greece A. Rovithakis et al. 10.1088/1748-9326/ac5f94
51. Fire decline in dry tropical ecosystems enhances decadal land carbon sink Y. Yin et al. 10.1038/s41467-020-15852-2
52. Using An Attention-Based LSTM Encoder–Decoder Network for Near Real-Time Disturbance Detection Y. Yuan et al. 10.1109/JSTARS.2020.2988324
53. Suitability of band angle indices for burned area mapping in the Maule Region (Chile) P. Oliva et al. 10.3389/ffgc.2022.1052299
54. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018) G. Otón et al. 10.3390/fire4040074
55. Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review E. Kurbanov et al. 10.3390/rs14194714
56. Lightning-induced fire regime in Portugal based on satellite-derived and in situ data L. Menezes et al. 10.1016/j.agrformet.2024.110108
57. Influence of atmospheric teleconnections on interannual variability of Arctic-boreal fires Z. Zhao et al. 10.1016/j.scitotenv.2022.156550
58. Description and evaluation of the JULES-ES set-up for ISIMIP2b C. Mathison et al. 10.5194/gmd-16-4249-2023
59. Fire, flammability and functional traits at the forefront of global change ecology R. Mitchell & A. Martin 10.1111/1365-2435.14432
60. Recent global and regional trends in burned area and their compensating environmental controls M. Forkel et al. 10.1088/2515-7620/ab25d2
61. 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
62. A new lightning scheme in the Canadian Atmospheric Model (CanAM5.1): implementation, evaluation, and projections of lightning and fire in future climates C. Whaley et al. 10.5194/gmd-17-7141-2024
63. Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine E. Roteta et al. 10.3390/rs13040816
64. 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
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66. Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
67. Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. 10.5194/nhess-21-73-2021
68. Anticipating Future Risks of Climate-Driven Wildfires in Boreal Forests S. Corning et al. 10.3390/fire7040144
69. Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa B. Ouattara et al. 10.1016/j.srs.2024.100165
70. Understanding wildfire occurrence and size in Jalisco, Mexico: A spatio-temporal analysis C. Toledo-Jaime et al. 10.1016/j.foreco.2024.122349
71. Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
72. 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
73. 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
74. Validation of MCD64A1 and FireCCI51 cropland burned area mapping in Ukraine J. Hall et al. 10.1016/j.jag.2021.102443
75. The smokescreen of Russian protected areas R. Cazzolla Gatti et al. 10.1016/j.scitotenv.2021.147372
76. 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
77. Progress and Limitations in the Satellite-Based Estimate of Burnt Areas G. Laneve et al. 10.3390/rs16010042
78. 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
79. 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
80. 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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83. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. 10.1029/2021GL095452
84. 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
85. The Landsat Burned Area algorithm and products for the conterminous United States T. Hawbaker et al. 10.1016/j.rse.2020.111801
86. 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
87. Annual and Seasonal Patterns of Burned Area Products in Arctic-Boreal North America and Russia for 2001–2020 A. Clelland et al. 10.3390/rs16173306
88. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. 10.1029/2019GB006393
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90. 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
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94. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
95. 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
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