254 citations as recorded by crossref.

1. Designing and producing a geographic information system to forecast vegetation fire danger according to weather conditions V. Glagolev et al. 10.1088/1757-899X/862/5/052019
2. Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico C. Briones-Herrera et al. 10.3390/rs12122061
3. Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine Y. Chen et al. 10.3390/rs17050741
4. A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. 10.5194/gmd-17-3993-2024
5. The Landscape Fire Scars Database: mapping historical burned area and fire severity in Chile A. Miranda et al. 10.5194/essd-14-3599-2022
6. Recent wildfires in Central Chile: Detecting links between burned areas and population exposure in the wildland urban interface P. Sarricolea et al. 10.1016/j.scitotenv.2019.135894
7. Observed increases in extreme fire weather driven by atmospheric humidity and temperature P. Jain et al. 10.1038/s41558-021-01224-1
8. Assessing the effects of landcover and land use change on wildfire exposure and risk to communities and olive orchards in Mediterranean landscapes A. Sparks et al. 10.1016/j.scitotenv.2024.177723
9. High-resolution and multi-year estimation of emissions from open biomass burning in Northeast China during 2001–2017 Y. Shi et al. 10.1016/j.jclepro.2021.127496
10. Spatio-temporal patterns of wildfires in Siberia during 2001–2020 O. Tomshin & V. Solovyev 10.1080/10106049.2021.1973581
11. A labelled dataset to classify direct deforestation drivers from Earth Observation imagery in Cameroon A. Debus et al. 10.1038/s41597-024-03384-z
12. Dilution impacts on smoke aging: evidence in Biomass Burning Observation Project (BBOP) data A. Hodshire et al. 10.5194/acp-21-6839-2021
13. Verification of Red Flag Warnings across the Northwestern U.S. as Forecasts of Large Fire Occurrence J. Clark et al. 10.3390/fire3040060
14. Assessing the impact of bias correction approaches on climate extremes and the climate change signal H. Zhang et al. 10.1002/met.2204
15. Mapping the probability of forest fire hazard across the European Alps under climate change scenarios K. Gerberding & U. Schirpke 10.1016/j.jenvman.2025.124600
16. What the past can say about the present and future of fire J. Marlon 10.1017/qua.2020.48
17. Integration of Electric Vehicle Evacuation in Power System Resilience Assessment D. Donaldson et al. 10.1109/TPWRS.2022.3206900
18. Burned Areas Mapping Using Sentinel-2 Data and a Rao’s Q Index-Based Change Detection Approach: A Case Study in Three Mediterranean Islands’ Wildfires (2019–2022) R. Tiengo et al. 10.3390/rs17050830
19. Geospatial forest fire risk assessment and zoning by integrating MaxEnt in Gorkha District, Nepal G. Paudel et al. 10.1016/j.heliyon.2024.e31305
20. Continental‐scale empirical evidence for relationships between fire response strategies and fire frequency S. Yang et al. 10.1111/nph.20464
21. Remotely sensed vegetation phenology drives large fire spread in northwestern Europe T. Quiñones et al. 10.1071/WF24079
22. Fire-induced loss of the world’s most biodiverse forests in Latin America D. Armenteras et al. 10.1126/sciadv.abd3357
23. Consistent, high-accuracy mapping of daily and sub-daily wildfire growth with satellite observations C. McClure et al. 10.1071/WF22048
24. Global Trends of Forest Loss Due to Fire From 2001 to 2019 A. Tyukavina et al. 10.3389/frsen.2022.825190
25. Incorporating an Interactive Fire Plume‐Rise Model in the DOE's Energy Exascale Earth System Model Version 1 (E3SMv1) and Examining Aerosol Radiative Effect Z. Lu et al. 10.1029/2023MS003818
26. Using hydrological modelling to improve the Fire Weather Index system over tropical peatlands of peninsular Malaysia, Sumatra and Borneo J. Mortelmans et al. 10.1071/WF24057
27. In temperate Europe, fire is already here: The case of The Netherlands C. Stoof et al. 10.1007/s13280-023-01960-y
28. Biogeographic patterns of daily wildfire spread and extremes across North America J. Balik et al. 10.3389/ffgc.2024.1355361
29. A global forest burn severity dataset from Landsat imagery (2003–2016) K. He et al. 10.5194/essd-16-3061-2024
30. Global scale coupling of pyromes and fire regimes C. Pais et al. 10.1038/s43247-023-00881-8
31. Open fire exposure increases the risk of pregnancy loss in South Asia T. Xue et al. 10.1038/s41467-021-23529-7
32. Spatiotemporal patterns of fire-driven forest mortality in China J. Zhao et al. 10.1016/j.foreco.2022.120678
33. Constructing a Comprehensive National Wildfire Database from Incomplete Sources: Israel as a Case Study E. Guk et al. 10.3390/fire6040131
34. Remote Sensing Active Fire Detection Tools Support Growth Reconstruction for Large Boreal Wildfires T. Schiks et al. 10.3390/fire7010026
35. Spatio-Temporal Marked Point Process Model to Understand Forest Fires in the Mediterranean Basin Ó. de Rivera et al. 10.1007/s13253-024-00617-x
36. Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires J. Lizundia-Loiola et al. 10.1016/j.rse.2022.113298
37. A bottom–up savanna fire fuel consumption inventory and its application to savanna burning in Kafue National Park, Zambia T. Eames et al. 10.1071/WF24121
38. CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction M. Marjani et al. 10.3390/rs16081467
39. Spatiotemporal Characteristics, Causes, and Prediction of Wildfires in North China: A Study Using Satellite, Reanalysis, and Climate Model Datasets M. Bai et al. 10.3390/rs17061038
40. Variation in aboveground biomass in forests and woodlands in Tanzania along gradients in environmental conditions and human use D. Requena Suarez et al. 10.1088/1748-9326/abe960
41. Tropical Forest Monitoring: Challenges and Recent Progress in Research J. Murrins Misiukas et al. 10.3390/rs13122252
42. Resilient landscapes to prevent catastrophic forest fires: Socioeconomic insights towards a new paradigm S. Wunder et al. 10.1016/j.forpol.2021.102458
43. MOSEV: a global burn severity database from MODIS (2000–2020) E. Alonso-González & V. Fernández-García 10.5194/essd-13-1925-2021
44. The complementary role of carbon dioxide removal: A catalyst for advancing the COP28 pledges towards the 1.5 °C Paris Agreement target C. Acen et al. 10.1016/j.scitotenv.2024.174302
45. Improving the Combustion Factor to Estimate GHG Emissions Associated with Fire in Pinus radiata and Eucalyptus spp. Plantations in Chile G. Olmedo et al. 10.3390/f14020403
46. Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations T. Liu et al. 10.1016/j.aeaoa.2020.100091
47. Widespread and systematic effects of fire on plant–soil water relations M. Baur et al. 10.1038/s41561-024-01563-6
48. 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
49. Wildland fire risk research in Canada L. Johnston et al. 10.1139/er-2019-0046
50. Developing novel machine-learning-based fire weather indices A. Shmuel & E. Heifetz 10.1088/2632-2153/acc008
51. Consequences of a future increase in fire: The human health perspective N. French et al. 10.1016/j.oneear.2021.03.008
52. High fire frequency and the impact of the 2019–2020 megafires on Australian plant diversity R. Gallagher et al. 10.1111/ddi.13265
53. Wildfire risk for global wildland–urban interface areas B. Chen et al. 10.1038/s41893-024-01291-0
54. Domain Adaptation and Fine-Tuning of a Deep Learning Segmentation Model of Small Agricultural Burn Area Detection Using High-Resolution Sentinel-2 Observations: A Case Study of Punjab, India A. Anand et al. 10.3390/rs17060974
55. Investigating hydro-climates of the Upper Blue Nile River Basin A. Alaminie & M. Jury 10.1080/02626667.2021.2011892
56. Integrating evidence of land use and land cover change for land management policy formulation along the Kenya-Tanzania borderlands C. Courtney Mustaphi et al. 10.1016/j.ancene.2019.100228
57. Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al. 10.1111/1365-2745.13403
58. Spatio-temporal shift in fire activity in the Indo-Gangetic region S. Kumar et al. 10.1080/10106049.2022.2144469
59. Daily prediction modeling of forest fire ignition using meteorological drought indices in the Mexican highlands A. Vilchis-Francés et al. 10.3832/ifor3623-014
60. Climate change has increased the odds of extreme regional forest fire years globally J. Abatzoglou et al. 10.1038/s41467-025-61608-1
61. A novel, post‐Soviet fire disturbance regime drives bird diversity and abundance on the Eurasian steppe T. Bhagwat et al. 10.1111/gcb.17026
62. Declining severe fire activity on managed lands in Equatorial Asia S. Sloan et al. 10.1038/s43247-022-00522-6
63. Climate and socioeconomic drivers of biomass burning and carbon emissions from fires in tropical dry forests: A Pantropical analysis R. Corona‐Núñez & J. Campo 10.1111/gcb.16516
64. Implementation Potential of the SILVANUS Project Outcomes for Wildfire Resilience and Sustainable Forest Management in the Slovak Republic A. Majlingova et al. 10.3390/f16071153
65. Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
66. Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland J. Sankey et al. 10.1016/j.rse.2020.112223
67. Regime de queima em Goiás, Brasil, e em Moçambique entre 2010 e 2019: frequência, recorrência e classes de cobertura mais afetadas S. Santos et al. 10.5327/Z2176-94781303
68. The Impacts of Burn Severity and Frequency on Erosion in Western Arnhem Land, Australia D. Bretreger et al. 10.3390/s24072282
69. Fire, flammability and functional traits at the forefront of global change ecology R. Mitchell & A. Martin 10.1111/1365-2435.14432
70. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
71. Unveiling the Factors Responsible for Australia’s Black Summer Fires of 2019/2020 N. Levin et al. 10.3390/fire4030058
72. Characterizing fire and fire atmospheric states from space using collocated hyperspectral infrared sounding and narrow-band imagery X. Zhou et al. 10.1016/j.rse.2024.114318
73. Deep fire topology: Understanding the role of landscape spatial patterns in wildfire occurrence using artificial intelligence C. Pais et al. 10.1016/j.envsoft.2021.105122
74. The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records S. Harrison et al. 10.5194/essd-14-1109-2022
75. Pyrogeography across the western Palaearctic: A diversity of fire regimes J. Pausas 10.1111/geb.13569
76. Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence T. Mukunga et al. 10.3390/fire6050197
77. Pyrogenic HONO seen from space: insights from global IASI observations B. Franco et al. 10.5194/acp-24-4973-2024
78. A global wildfire dataset for the analysis of fire regimes and fire behaviour T. Artés et al. 10.1038/s41597-019-0312-2
79. Pathways of savannization in a mesic African savanna–forest mosaic following an extreme fire H. Beckett et al. 10.1111/1365-2745.13851
80. Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China R. Chen et al. 10.1016/j.jag.2024.104080
81. Evaluating Australian forest fire rate of spread models using VIIRS satellite observations M. Gale & G. Cary 10.1016/j.envsoft.2025.106436
82. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
83. Deep neural networks for global wildfire susceptibility modelling G. Zhang et al. 10.1016/j.ecolind.2021.107735
84. Evaluation of the Spatial Distribution of Predictors of Fire Regimes in China from 2003 to 2016 J. Su et al. 10.3390/rs15204946
85. Division of the tropical savanna fire season into early and late dry season burning using MODIS active fires T. Eames et al. 10.1016/j.jag.2023.103575
86. Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado F. Santos et al. 10.1080/01431161.2020.1771791
87. Forest fire size amplifies postfire land surface warming J. Zhao et al. 10.1038/s41586-024-07918-8
88. A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images M. Pinto et al. 10.1016/j.isprsjprs.2019.12.014
89. Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. 10.5194/nhess-21-73-2021
90. Spatiotemporal Analysis of Forest Fires in China from 2012 to 2021 Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires B. Dong et al. 10.3390/su15129532
91. State of Wildfires 2023–2024 M. Jones et al. 10.5194/essd-16-3601-2024
92. The Signature of Climate in Annual Burned Area in Portugal C. DaCamara 10.3390/cli12090143
93. Understanding fire regimes in Europe L. Galizia et al. 10.1071/WF21081
94. How do intrinsic and extrinsic causes interact in the extinction vulnerability of South American savanna shrub and tree species? E. Maciel et al. 10.1016/j.jenvman.2023.118256
95. 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
96. Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data M. Maxwald et al. 10.3390/fire5060211
97. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
98. Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
99. What shapes fire size and spread in African savannahs? S. Takacs et al. 10.1002/rse2.212
100. Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios L. Vallet et al. 10.5194/bg-22-213-2025
101. Multi-Unmanned-Aerial-Vehicle Wildfire Boundary Estimation Using a Semantic Segmentation Neural Network J. Castagno et al. 10.2514/1.I010912
102. A machine-learning approach for identifying dense-fires and assessing atmospheric emissions on the Indochina Peninsula, 2010–2020 Y. Zhong et al. 10.1016/j.atmosres.2022.106325
103. Dinámica espaciotemporal, causas y efectos de los megaincendios forestales en México C. Neger et al. 10.21829/myb.2022.2822453
104. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
105. Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models A. Shabbir et al. 10.1371/journal.pone.0229894
106. A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety J. Roldán-Gómez et al. 10.3390/app11010363
107. Air quality measurements in the western Eagle Ford Shale G. Roest et al. 10.1525/elementa.414
108. Open data repositories and Geo Small Data for mapping the wildfire risk exposure in wildland urban interface (WUI) in Spain: A case study in the Valencian Region J. Navarro-Carrión et al. 10.1016/j.rsase.2021.100500
109. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. 10.5194/bg-20-3981-2023
110. Analysis of how the spatial and temporal patterns of fire and their bioclimatic and anthropogenic drivers vary across the Amazon rainforest in El Niño and non-El Niño years M. Singh & X. Zhu 10.7717/peerj.12029
111. Drivers of wildfire burn severity in the montane rainforests of northern Vietnam P. Trang et al. 10.1071/WF23026
112. MTTfireCAL Package for R—An Innovative, Comprehensive, and Fast Procedure to Calibrate the MTT Fire Spread Modelling System B. Aparício et al. 10.3390/fire6060219
113. Characterization of land cover-specific fire regimes in the Brazilian Amazon A. Cano-Crespo et al. 10.1007/s10113-022-02012-z
114. Systematically tracking the hourly progression of large wildfires using GOES satellite observations T. Liu et al. 10.5194/essd-16-1395-2024
115. Is a Forest Fire a Natural Disaster? Investigating the Fire Tolerance of Various Tree Species—An Educational Module O. Speck & T. Speck 10.3390/biomimetics9020114
116. Sources of uncertainty in the SPITFIRE global fire model: development of LPJmL-SPITFIRE1.9 and directions for future improvements L. Oberhagemann et al. 10.5194/gmd-18-2021-2025
117. Model-Based Estimation of Amazonian Forests Recovery Time after Drought and Fire Events B. De Faria et al. 10.3390/f12010008
118. The tourism fire exposure index for the European Union C. Neger et al. 10.1016/j.tourman.2024.104901
119. Active fire-based dating accuracy for Landsat burned area maps is high in boreal and Mediterranean biomes and low in grasslands and savannas A. Neves et al. 10.1016/j.isprsjprs.2024.02.014
120. Global data-driven prediction of fire activity F. Di Giuseppe et al. 10.1038/s41467-025-58097-7
121. Fires in the South American Chaco, from dry forests to wetlands: response to climate depends on land cover R. San Martín et al. 10.1186/s42408-023-00212-4
122. Spatiotemporal analysis of wildfires and their relationship with climate and land use in the Gran Chaco and Pantanal ecoregions C. Vidal-Riveros et al. 10.1016/j.scitotenv.2024.176823
123. Convective potential and fuel availability complement near-surface weather in regulating global wildfire activity H. Su et al. 10.1126/sciadv.adp7765
124. Vegetation fires in the Anthropocene D. Bowman et al. 10.1038/s43017-020-0085-3
125. Protected Areas Conserved Forests from Fire and Deforestation in Vietnam’s Central Highlands from 2001 to 2020 S. Ebright et al. 10.3390/fire6040164
126. A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas M. Campagnolo et al. 10.1016/j.rse.2020.112115
127. Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. 10.1016/j.rse.2020.111897
128. Assessment of VIIRS 375 m active fire using tropical peatland combustion algorithm applied to Landsat-8 over Indonesia’s peatlands P. Sofan et al. 10.1080/17538947.2020.1791268
129. Characterizing Global Fire Regimes from Satellite-Derived Products M. García et al. 10.3390/f13050699
130. Stratosphere amplifies the global climate effect of wildfires K. Wei et al. 10.1007/s11430-019-9560-3
131. Human and infrastructure exposure to large wildfires in the United States A. Modaresi Rad et al. 10.1038/s41893-023-01163-z
132. Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting J. Lever & R. Arcucci 10.1007/s42001-022-00174-8
133. Self-Organizing Map-Based Classification for Fire Weather Index in the Beijing–Tianjin–Hebei Region and Their Potential Causes M. Wu et al. 10.3390/atmos16040403
134. The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation J. Chen et al. 10.5194/essd-14-3489-2022
135. Forest fire and its key drivers in the tropical forests of northern Vietnam P. Trang et al. 10.1071/WF21078
136. Missing Burns in the High Northern Latitudes: The Case for Regionally Focused Burned Area Products D. Chen et al. 10.3390/rs13204145
137. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. 10.5194/acp-19-12545-2019
138. Prescribed Burning Reduces Large, High-Intensity Wildfires and Emissions in the Brazilian Savanna F. Santos et al. 10.3390/fire4030056
139. Tree cover and its heterogeneity in natural ecosystems is linked to large herbivore biomass globally L. Wang et al. 10.1016/j.oneear.2023.10.007
140. Trends in global dependency on the Indonesian palm oil and resultant environmental impacts Y. Shigetomi et al. 10.1038/s41598-020-77458-4
141. Global PM2.5 and secondary organic aerosols (SOA) levels with sectorial contribution to anthropogenic and biogenic SOA formation S. Azmi & M. Sharma 10.1016/j.chemosphere.2023.139195
142. Forcing the Global Fire Emissions Database burned-area dataset into the Community Land Model version 5.0: impacts on carbon and water fluxes at high latitudes H. Seo & Y. Kim 10.5194/gmd-16-4699-2023
143. Simulating dynamic fire regime and vegetation change in a warming Siberia N. Williams et al. 10.1186/s42408-023-00188-1
144. SeasFire cube - a multivariate dataset for global wildfire modeling I. Karasante et al. 10.1038/s41597-025-04546-3
145. Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
146. How do tropical active fires respond to intra-annual climate change in the early 21st century? P. Li et al. 10.1016/j.geosus.2024.100253
147. Assessing the Shape Accuracy of Coarse Resolution Burned Area Identifications M. Humber et al. 10.1109/TGRS.2019.2943901
148. Holocene fire history in southwestern China linked to climate change and human activities Z. Yuan et al. 10.1016/j.quascirev.2022.107615
149. Spatio-temporal variation in dry season determines the Amazonian fire calendar N. Carvalho et al. 10.1088/1748-9326/ac3aa3
150. Evaluation of Four Satellite-Derived Fire Products in the Fire-Prone, Cloudy, and Mountainous Area Over Subtropical China M. Jiao et al. 10.1109/LGRS.2022.3188259
151. Deep learning for wildfire risk prediction: Integrating remote sensing and environmental data Z. Xu et al. 10.1016/j.isprsjprs.2025.06.002
152. The Role of Wildfires in the Interplay of Forest Carbon Stocks and Wood Harvest in the Contiguous United States During the 20th Century A. Magerl et al. 10.1029/2023GB007813
153. Improving the fire weather index system for peatlands using peat-specific hydrological input data J. Mortelmans et al. 10.5194/nhess-24-445-2024
154. Overwintering fires rising in eastern Siberia W. Xu et al. 10.1088/1748-9326/ac59aa
155. Carbon budget and national gross domestic product in the framework of the Paris Climate Agreement C. Mulder et al. 10.1016/j.ecolind.2021.108066
156. Tracking and classifying Amazon fire events in near real time N. Andela et al. 10.1126/sciadv.abd2713
157. Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
158. Improved forest fire spread mapping by developing custom fire fuel models in replanted forests in Hyrcanian forests, Iran M. Alhaj-Khalaf et al. 10.5424/fs/2021302-17980
159. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
160. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
161. California wildfire spread derived using VIIRS satellite observations and an object-based tracking system Y. Chen et al. 10.1038/s41597-022-01343-0
162. Global decline in subsistence-oriented and smallholder fire use C. Smith et al. 10.1038/s41893-022-00867-y
163. Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
164. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
165. Towards a whole‐system framework for wildfire monitoring using Earth observations M. Crowley et al. 10.1111/gcb.16567
166. Increased transparency in accounting conventions could benefit climate policy G. Wedderburn-Bisshop 10.1088/1748-9326/adb7f2
167. Global burn severity in forest ecoregions: trends, climate drivers, and predictive insights K. He et al. 10.1038/s44304-025-00113-3
168. Wildfire Risk Assessment and Zoning by Integrating Maxent and GIS in Hunan Province, China X. Yang et al. 10.3390/f12101299
169. 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
170. Spatial variability in Arctic–boreal fire regimes influenced by environmental and human factors R. Scholten et al. 10.1038/s41561-024-01505-2
171. Fuel loads and fuel structure in Austrian coniferous forests M. Neumann et al. 10.1071/WF21161
172. Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
173. Human Fire Use and Management: A Global Database of Anthropogenic Fire Impacts for Modelling J. Millington et al. 10.3390/fire5040087
174. The impacts of fire vary among vertical strata: Responses of ant communities to long‐term experimental burning F. Brassard et al. 10.1002/eap.3025
175. Putting fire on the map of Brazilian savanna ecoregions P. Silva et al. 10.1016/j.jenvman.2021.113098
176. A new perspective on the genesis of the 2019/2020 Australian bushfire and its atmospheric radiative impacts S. Prasanth et al. 10.1016/j.jastp.2025.106558
177. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
178. Aging Effects on Biomass Burning Aerosol Mass and Composition: A Critical Review of Field and Laboratory Studies A. Hodshire et al. 10.1021/acs.est.9b02588
179. Improved assessment of post-fire recovery trajectory of forests in Amazon's protected areas Q. Wu et al. 10.1016/j.rse.2025.114802
180. Wildland Fires in the Subtropical Hill Forests of Southeastern Bangladesh M. Farukh et al. 10.3390/atmos14010097
181. Post-fire forest restoration in the humid tropics: A synthesis of available strategies and knowledge gaps for effective restoration A. Scheper et al. 10.1016/j.scitotenv.2020.144647
182. Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes R. Chen et al. 10.1016/j.jenvman.2023.120005
183. Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales C. Gallo et al. 10.5194/gmd-16-3103-2023
184. Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales Y. Chen et al. 10.1029/2019MS001955
185. Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
186. Climate change and disturbance interact to alter landscape reflectivity (albedo) in boreal forests across a large latitudinal gradient in Siberia E. Gustafson et al. 10.1016/j.scitotenv.2024.177043
187. Current and future patterns of forest fire occurrence in China Z. Wu et al. 10.1071/WF19039
188. Development of a Novel Burned-Area Subpixel Mapping (BASM) Workflow for Fire Scar Detection at Subpixel Level H. Xu et al. 10.3390/rs14153546
189. Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data A. Cardíl et al. 10.5194/nhess-23-361-2023
190. Long-term impact of wildfire on soil physical, chemical and biological properties within a pine forest L. Marfella et al. 10.1007/s10342-024-01696-8
191. Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. 10.5194/essd-15-5227-2023
192. Global-scale statistical modelling of the radiative power released by vegetation fires using a doubly truncated lognormal body distribution with generalized Pareto tails C. DaCamara et al. 10.1016/j.physa.2023.129049
193. An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods M. Asensio et al. 10.3390/app13042035
194. Climate drivers of global wildfire burned area M. Grillakis et al. 10.1088/1748-9326/ac5fa1
195. 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
196. Burning of woody debris dominates fire emissions in the Amazon and Cerrado M. Forkel et al. 10.1038/s41561-024-01637-5
197. Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes P. Ferro et al. 10.3390/fire7030067
198. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
199. Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data F. Huot et al. 10.1109/TGRS.2022.3192974
200. Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. 10.1080/01431161.2021.1999529
201. Integrating disturbance to improve our understanding of range-wide patterns in tree species abundance and demography A. Gougherty et al. 10.1016/j.foreco.2025.122875
202. Madagascar's burned area from Sentinel-2 imagery (2016–2022): Four times higher than from lower resolution sensors V. Fernández-García et al. 10.1016/j.scitotenv.2024.169929
203. VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al. 10.5194/essd-16-4573-2024
204. Estimating the effects of meteorology and land cover on fire growth in Peru using a novel difference equation model H. Podschwit et al. 10.5194/nhess-23-2607-2023
205. Multi-sensor near-realtime burnt area monitoring using a superpixel-based graph convolutional network approach M. Nolde et al. 10.1080/15481603.2025.2498188
206. Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. 10.5194/gmd-15-1899-2022
207. Simulated sensitivity of the Amazon rainforest to extreme drought P. Papastefanou et al. 10.1088/1748-9326/ad8f48
208. Spatiotemporal changes in forest loss and its linkage to burned areas in China Z. Wu et al. 10.1007/s11676-019-01062-0
209. Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images E. Chuvieco et al. 10.1016/j.scitotenv.2022.157139
210. Review of approaches and challenges for the validation of satellite-based active fire products in savannah ecosystems S. Ramsey et al. 10.1071/WF23202
211. A Machine-Learning Approach to Predicting Daily Wildfire Expansion Rate A. Shmuel & E. Heifetz 10.3390/fire6080319
212. Spatiotemporal data analysis with chronological networks L. Ferreira et al. 10.1038/s41467-020-17634-2
213. Synoptic weather patterns during fire spread events in Siberia O. Tomshin & V. Solovyev 10.1016/j.scitotenv.2024.171205
214. Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region M. Rodrigues et al. 10.1111/risa.13524
215. Global fire emissions buffered by the production of pyrogenic carbon M. Jones et al. 10.1038/s41561-019-0403-x
216. The Portuguese Large Wildfire Spread database (PT-FireSprd) A. Benali et al. 10.5194/essd-15-3791-2023
217. Negligible Quantities of Particulate Low‐Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River C. Häggi et al. 10.1029/2021GB006990
218. Carbon and nitrogen dynamics in tropical ecosystems following fire D. Jiang et al. 10.1111/geb.13422
219. Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
220. Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. 10.1016/j.forpol.2021.102563
221. Global Wildfire Susceptibility Mapping Based on Machine Learning Models A. Shmuel & E. Heifetz 10.3390/f13071050
222. African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data R. Ramo et al. 10.1073/pnas.2011160118
223. Wildfire response to changing daily temperature extremes in California’s Sierra Nevada A. Gutierrez et al. 10.1126/sciadv.abe6417
224. Aotearoa New Zealand's 21st‐Century Wildfire Climate N. Melia et al. 10.1029/2022EF002853
225. Decentralized Satellite Constellation Replanning for Event Observation B. Gorr et al. 10.2514/1.A36143
226. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
227. Detecting Fire-Caused Forest Loss in a Moroccan Protected Area I. Castro et al. 10.3390/fire5020051
228. Frameworks for identifying priority plants and ecosystems most impacted by major fires T. Auld et al. 10.1071/BT22009
229. Beyond Deforestation: Carbon Emissions From Land Grabbing and Forest Degradation in the Brazilian Amazon S. Kruid et al. 10.3389/ffgc.2021.645282
230. Remote sensing for wildfire monitoring: Insights into burned area, emissions, and fire dynamics Y. Chen et al. 10.1016/j.oneear.2024.05.014
231. A multi-year and high-resolution inventory of biomass burning emissions in tropical continents from 2001–2017 based on satellite observations Y. Shi et al. 10.1016/j.jclepro.2020.122511
232. Fire regime attributes shape pre-fire vegetation characteristics controlling extreme fire behavior under different bioregions in Spain D. Beltrán-Marcos et al. 10.1186/s42408-024-00276-w
233. Increasing heat and rainfall extremes now far outside the historical climate A. Robinson et al. 10.1038/s41612-021-00202-w
234. Modeling Fire Radiative Power Released by Vegetation Fires at the Global Scale Using a Two Generalized Pareto Tail Lognormal Body Distribution C. DaCamara et al. 10.2139/ssrn.4125271
235. Evolutionary origins, macroevolutionary dynamics, and climatic niche space of the succulent plant syndrome in the Caryophyllales M. Vásquez-Cruz et al. 10.1093/jxb/erae428
236. Frequent burning in chir pine forests, Uttarakhand, India P. Fulé et al. 10.1186/s42408-021-00106-3
237. Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study T. Liu et al. 10.1016/j.rse.2019.111557
238. Spatio-temporal patterns of extreme fires in Amazonian forests A. Cano-Crespo et al. 10.1140/epjs/s11734-021-00164-3
239. Wildfire Risk Mitigation through Systems Analysis of the Planetary Emergency J. Lambert et al. 10.1061/AOMJAH.AOENG-0040
240. Altered growth conditions more than reforestation counteracted forest biomass carbon emissions 1990–2020 J. Le Noë et al. 10.1038/s41467-021-26398-2
241. Landscape patterns in stand-replacing disturbances across the world’s forests N. Acil et al. 10.1038/s41893-024-01450-3
242. ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread J. Katan & L. Perez 10.5194/nhess-21-3141-2021
243. Investigation of factors that affect post-fire recovery of photosynthetic activity at global scale Y. Shen et al. 10.1016/j.ecolind.2025.113206
244. Tropical Dry Forest Resilience to Fire Depends on Fire Frequency and Climate M. Hartung et al. 10.3389/ffgc.2021.755104
245. Climate predicts wildland fire extent across China A. Shabbir et al. 10.1016/j.scitotenv.2023.164987
246. Fire from the Sky in the Anthropocene P. Fernandes et al. 10.3390/fire4010013
247. Criteria-Based Identification of Important Fuels for Wildland Fire Emission Research A. Watts et al. 10.3390/atmos11060640
248. Future climate change impact on wildfire danger over the Mediterranean: the case of Greece A. Rovithakis et al. 10.1088/1748-9326/ac5f94
249. Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations S. Venevsky et al. 10.5194/gmd-12-89-2019
250. Country-level fire perimeter datasets (2001–2021) A. Mahood et al. 10.1038/s41597-022-01572-3
251. Palaeo-trajectories of forest savannization in the southern Congo J. Aleman et al. 10.1098/rsbl.2019.0284
252. Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon A. Pessôa et al. 10.3390/rs12233864
253. Global search for temporal shifts in fire activity: potential human influence on southwest Russia and north Australia fire seasons T. Liu et al. 10.1088/1748-9326/abe328
254. Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. 10.1007/s40641-019-00128-9