180 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
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3. Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. 10.1016/j.rse.2020.111897
4. 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
5. 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
6. Characterizing Global Fire Regimes from Satellite-Derived Products M. García et al. 10.3390/f13050699
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13. 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
14. Spatio-temporal patterns of wildfires in Siberia during 2001–2020 O. Tomshin & V. Solovyev 10.1080/10106049.2021.1973581
15. Dilution impacts on smoke aging: evidence in Biomass Burning Observation Project (BBOP) data A. Hodshire et al. 10.5194/acp-21-6839-2021
16. Verification of Red Flag Warnings across the Northwestern U.S. as Forecasts of Large Fire Occurrence J. Clark et al. 10.3390/fire3040060
17. The Fengyun-3D (FY-3D) global active fire product: principle, methodology and validation J. Chen et al. 10.5194/essd-14-3489-2022
18. Forest fire and its key drivers in the tropical forests of northern Vietnam P. Trang et al. 10.1071/WF21078
19. Missing Burns in the High Northern Latitudes: The Case for Regionally Focused Burned Area Products D. Chen et al. 10.3390/rs13204145
20. 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
21. Prescribed Burning Reduces Large, High-Intensity Wildfires and Emissions in the Brazilian Savanna F. Santos et al. 10.3390/fire4030056
22. 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
23. Trends in global dependency on the Indonesian palm oil and resultant environmental impacts Y. Shigetomi et al. 10.1038/s41598-020-77458-4
24. What the past can say about the present and future of fire J. Marlon 10.1017/qua.2020.48
25. 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
26. 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
27. Simulating dynamic fire regime and vegetation change in a warming Siberia N. Williams et al. 10.1186/s42408-023-00188-1
28. Integration of Electric Vehicle Evacuation in Power System Resilience Assessment D. Donaldson et al. 10.1109/TPWRS.2022.3206900
29. Reimagine fire science for the anthropocene J. Shuman et al. 10.1093/pnasnexus/pgac115
30. Assessing the Shape Accuracy of Coarse Resolution Burned Area Identifications M. Humber et al. 10.1109/TGRS.2019.2943901
31. Fire-induced loss of the world’s most biodiverse forests in Latin America D. Armenteras et al. 10.1126/sciadv.abd3357
32. Holocene fire history in southwestern China linked to climate change and human activities Z. Yuan et al. 10.1016/j.quascirev.2022.107615
33. Consistent, high-accuracy mapping of daily and sub-daily wildfire growth with satellite observations C. McClure et al. 10.1071/WF22048
34. Spatio-temporal variation in dry season determines the Amazonian fire calendar N. Carvalho et al. 10.1088/1748-9326/ac3aa3
35. 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
36. 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
37. Global Trends of Forest Loss Due to Fire From 2001 to 2019 A. Tyukavina et al. 10.3389/frsen.2022.825190
38. Overwintering fires rising in eastern Siberia W. Xu et al. 10.1088/1748-9326/ac59aa
39. 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
40. Tracking and classifying Amazon fire events in near real time N. Andela et al. 10.1126/sciadv.abd2713
41. Global scale coupling of pyromes and fire regimes C. Pais et al. 10.1038/s43247-023-00881-8
42. Open fire exposure increases the risk of pregnancy loss in South Asia T. Xue et al. 10.1038/s41467-021-23529-7
43. 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
44. Improved forest fire spread mapping by developing custom fire fuel models in replanted forests in Hyrcanian forests, Iran M. Alhaj-Khalaf 10.5424/fs/2021302-17980
45. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
46. Spatiotemporal patterns of fire-driven forest mortality in China J. Zhao et al. 10.1016/j.foreco.2022.120678
47. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
48. California wildfire spread derived using VIIRS satellite observations and an object-based tracking system Y. Chen et al. 10.1038/s41597-022-01343-0
49. Constructing a Comprehensive National Wildfire Database from Incomplete Sources: Israel as a Case Study E. Guk et al. 10.3390/fire6040131
50. Global decline in subsistence-oriented and smallholder fire use C. Smith et al. 10.1038/s41893-022-00867-y
51. Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
52. Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires J. Lizundia-Loiola et al. 10.1016/j.rse.2022.113298
53. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
54. Towards a whole‐system framework for wildfire monitoring using Earth observations M. Crowley et al. 10.1111/gcb.16567
55. Wildfire Risk Assessment and Zoning by Integrating Maxent and GIS in Hunan Province, China X. Yang et al. 10.3390/f12101299
56. 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
57. 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
58. Tropical Forest Monitoring: Challenges and Recent Progress in Research J. Murrins Misiukas et al. 10.3390/rs13122252
59. Fuel loads and fuel structure in Austrian coniferous forests M. Neumann et al. 10.1071/WF21161
60. Resilient landscapes to prevent catastrophic forest fires: Socioeconomic insights towards a new paradigm S. Wunder et al. 10.1016/j.forpol.2021.102458
61. 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
62. MOSEV: a global burn severity database from MODIS (2000–2020) E. Alonso-González & V. Fernández-García 10.5194/essd-13-1925-2021
63. 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
64. Human Fire Use and Management: A Global Database of Anthropogenic Fire Impacts for Modelling J. Millington et al. 10.3390/fire5040087
65. 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
66. Putting fire on the map of Brazilian savanna ecoregions P. Silva et al. 10.1016/j.jenvman.2021.113098
67. 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
68. Global environmental controls on wildfire burnt area, size, and intensity O. Haas et al. 10.1088/1748-9326/ac6a69
69. 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
70. Wildland fire risk research in Canada L. Johnston et al. 10.1139/er-2019-0046
71. Developing novel machine-learning-based fire weather indices A. Shmuel & E. Heifetz 10.1088/2632-2153/acc008
72. Consequences of a future increase in fire: The human health perspective N. French et al. 10.1016/j.oneear.2021.03.008
73. High fire frequency and the impact of the 2019–2020 megafires on Australian plant diversity R. Gallagher et al. 10.1111/ddi.13265
74. Wildland Fires in the Subtropical Hill Forests of Southeastern Bangladesh M. Farukh et al. 10.3390/atmos14010097
75. 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
76. Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm W. Ma et al. 10.3390/f11050507
77. Investigating hydro-climates of the Upper Blue Nile River Basin A. Alaminie & M. Jury 10.1080/02626667.2021.2011892
78. 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
79. Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al. 10.1111/1365-2745.13403
80. Spatio-temporal shift in fire activity in the Indo-Gangetic region S. Kumar et al. 10.1080/10106049.2022.2144469
81. 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
82. Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales Y. Chen et al. 10.1029/2019MS001955
83. Daily prediction modeling of forest fire ignition using meteorological drought indices in the Mexican highlands A. Vilchis-Francés et al. 10.3832/ifor3623-014
84. Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
85. A novel, post‐Soviet fire disturbance regime drives bird diversity and abundance on the Eurasian steppe T. Bhagwat et al. 10.1111/gcb.17026
86. Declining severe fire activity on managed lands in Equatorial Asia S. Sloan et al. 10.1038/s43247-022-00522-6
87. 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
88. Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
89. 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
90. Current and future patterns of forest fire occurrence in China Z. Wu et al. 10.1071/WF19039
91. Development of a Novel Burned-Area Subpixel Mapping (BASM) Workflow for Fire Scar Detection at Subpixel Level H. Xu et al. 10.3390/rs14153546
92. Fire regime in Goiás - Brazil and Mozambique between 2010 and 2019: frequency, recurrence, and most affected cover classes S. Santos et al. 10.5327/Z2176-94781303
93. 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
94. Fire, flammability and functional traits at the forefront of global change ecology R. Mitchell & A. Martin 10.1111/1365-2435.14432
95. 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
96. Unveiling the Factors Responsible for Australia’s Black Summer Fires of 2019/2020 N. Levin et al. 10.3390/fire4030058
97. 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
98. 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
99. Pyrogeography across the western Palaearctic: A diversity of fire regimes J. Pausas 10.1111/geb.13569
100. 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
101. Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence T. Mukunga et al. 10.3390/fire6050197
102. An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods M. Asensio et al. 10.3390/app13042035
103. A global wildfire dataset for the analysis of fire regimes and fire behaviour T. Artés et al. 10.1038/s41597-019-0312-2
104. Pathways of savannization in a mesic African savanna–forest mosaic following an extreme fire H. Beckett et al. 10.1111/1365-2745.13851
105. Climate drivers of global wildfire burned area M. Grillakis et al. 10.1088/1748-9326/ac5fa1
106. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
107. 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
108. Deep neural networks for global wildfire susceptibility modelling G. Zhang et al. 10.1016/j.ecolind.2021.107735
109. Evaluation of the Spatial Distribution of Predictors of Fire Regimes in China from 2003 to 2016 J. Su et al. 10.3390/rs15204946
110. 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
111. Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado F. Santos et al. 10.1080/01431161.2020.1771791
112. 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
113. 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
114. Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. 10.5194/nhess-21-73-2021
115. 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
116. 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
117. Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. 10.1080/01431161.2021.1999529
118. 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
119. Understanding fire regimes in Europe L. Galizia et al. 10.1071/WF21081
120. 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
121. 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
122. 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
123. Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data M. Maxwald et al. 10.3390/fire5060211
124. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
125. Spatiotemporal changes in forest loss and its linkage to burned areas in China Z. Wu et al. 10.1007/s11676-019-01062-0
126. Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
127. What shapes fire size and spread in African savannahs? S. Takacs et al. 10.1002/rse2.212
128. 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
129. Multi-Unmanned-Aerial-Vehicle Wildfire Boundary Estimation Using a Semantic Segmentation Neural Network J. Castagno et al. 10.2514/1.I010912
130. A Machine-Learning Approach to Predicting Daily Wildfire Expansion Rate A. Shmuel & E. Heifetz 10.3390/fire6080319
131. Spatiotemporal data analysis with chronological networks L. Ferreira et al. 10.1038/s41467-020-17634-2
132. 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
133. Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region M. Rodrigues et al. 10.1111/risa.13524
134. Dinámica espaciotemporal, causas y efectos de los megaincendios forestales en México C. Neger et al. 10.21829/myb.2022.2822453
135. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
136. 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
137. Global fire emissions buffered by the production of pyrogenic carbon M. Jones et al. 10.1038/s41561-019-0403-x
138. The Portuguese Large Wildfire Spread database (PT-FireSprd) A. Benali et al. 10.5194/essd-15-3791-2023
139. 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
140. Negligible Quantities of Particulate Low‐Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River C. Häggi et al. 10.1029/2021GB006990
141. Carbon and nitrogen dynamics in tropical ecosystems following fire D. Jiang et al. 10.1111/geb.13422
142. Air quality measurements in the western Eagle Ford Shale G. Roest et al. 10.1525/elementa.414
143. 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
144. 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
145. Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. 10.1016/j.forpol.2021.102563
146. Global Wildfire Susceptibility Mapping Based on Machine Learning Models A. Shmuel & E. Heifetz 10.3390/f13071050
147. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. 10.5194/bg-20-3981-2023
148. 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
149. Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon A. Pessôa et al. 10.3390/rs12233864
150. 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
151. Wildfire response to changing daily temperature extremes in California’s Sierra Nevada A. Gutierrez et al. 10.1126/sciadv.abe6417
152. Aotearoa New Zealand's 21st‐Century Wildfire Climate N. Melia et al. 10.1029/2022EF002853
153. 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
154. Characterization of land cover-specific fire regimes in the Brazilian Amazon A. Cano-Crespo et al. 10.1007/s10113-022-02012-z
155. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
156. Detecting Fire-Caused Forest Loss in a Moroccan Protected Area I. Castro et al. 10.3390/fire5020051
157. Frameworks for identifying priority plants and ecosystems most impacted by major fires T. Auld et al. 10.1071/BT22009
158. Beyond Deforestation: Carbon Emissions From Land Grabbing and Forest Degradation in the Brazilian Amazon S. Kruid et al. 10.3389/ffgc.2021.645282
159. 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
160. Model-Based Estimation of Amazonian Forests Recovery Time after Drought and Fire Events B. De Faria et al. 10.3390/f12010008
161. Increasing heat and rainfall extremes now far outside the historical climate A. Robinson et al. 10.1038/s41612-021-00202-w
162. 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
163. 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
164. Frequent burning in chir pine forests, Uttarakhand, India P. Fulé et al. 10.1186/s42408-021-00106-3
165. 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
166. Spatio-temporal patterns of extreme fires in Amazonian forests A. Cano-Crespo et al. 10.1140/epjs/s11734-021-00164-3
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170. Tropical Dry Forest Resilience to Fire Depends on Fire Frequency and Climate M. Hartung et al. 10.3389/ffgc.2021.755104
171. Protected Areas Conserved Forests from Fire and Deforestation in Vietnam’s Central Highlands from 2001 to 2020 S. Ebright et al. 10.3390/fire6040164
172. Climate predicts wildland fire extent across China A. Shabbir et al. 10.1016/j.scitotenv.2023.164987
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174. Criteria-Based Identification of Important Fuels for Wildland Fire Emission Research A. Watts et al. 10.3390/atmos11060640
175. Future climate change impact on wildfire danger over the Mediterranean: the case of Greece A. Rovithakis et al. 10.1088/1748-9326/ac5f94
176. 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
177. Country-level fire perimeter datasets (2001–2021) A. Mahood et al. 10.1038/s41597-022-01572-3
178. Palaeo-trajectories of forest savannization in the southern Congo J. Aleman et al. 10.1098/rsbl.2019.0284
179. 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
180. Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. 10.1007/s40641-019-00128-9