107 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. 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
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. Stratosphere amplifies the global climate effect of wildfires K. Wei et al. 10.1007/s11430-019-9560-3
7. 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
8. Climate change and deforestation increase the vulnerability of Amazonian forests to post‐fire grass invasion B. De Faria et al. 10.1111/geb.13388
9. Observed increases in extreme fire weather driven by atmospheric humidity and temperature P. Jain et al. 10.1038/s41558-021-01224-1
10. 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
11. Spatio-temporal patterns of wildfires in Siberia during 2001–2020 O. Tomshin & V. Solovyev 10.1080/10106049.2021.1973581
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. Missing Burns in the High Northern Latitudes: The Case for Regionally Focused Burned Area Products D. Chen et al. 10.3390/rs13204145
15. 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
16. Prescribed Burning Reduces Large, High-Intensity Wildfires and Emissions in the Brazilian Savanna F. Santos et al. 10.3390/fire4030056
17. Trends in global dependency on the Indonesian palm oil and resultant environmental impacts Y. Shigetomi et al. 10.1038/s41598-020-77458-4
18. What the past can say about the present and future of fire J. Marlon 10.1017/qua.2020.48
19. Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions With the Water Cycle During the 21st Century J. Worden et al. 10.1029/2020RG000711
20. Assessing the Shape Accuracy of Coarse Resolution Burned Area Identifications M. Humber et al. 10.1109/TGRS.2019.2943901
21. Fire-induced loss of the world’s most biodiverse forests in Latin America D. Armenteras et al. 10.1126/sciadv.abd3357
22. Spatio-temporal variation in dry season determines the Amazonian fire calendar N. Carvalho et al. 10.1088/1748-9326/ac3aa3
23. Global Trends of Forest Loss Due to Fire From 2001 to 2019 A. Tyukavina et al. 10.3389/frsen.2022.825190
24. Overwintering fires rising in eastern Siberia W. Xu et al. 10.1088/1748-9326/ac59aa
25. 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
26. Geomorphic and Sedimentary Effects of Modern Climate Change: Current and Anticipated Future Conditions in the Western United States A. East & J. Sankey 10.1029/2019RG000692
27. Open fire exposure increases the risk of pregnancy loss in South Asia T. Xue et al. 10.1038/s41467-021-23529-7
28. 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
29. 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
30. Understanding and modelling wildfire regimes: an ecological perspective S. Harrison et al. 10.1088/1748-9326/ac39be
31. Wildfire Risk Assessment and Zoning by Integrating Maxent and GIS in Hunan Province, China X. Yang et al. 10.3390/f12101299
32. 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
33. 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
34. Tropical Forest Monitoring: Challenges and Recent Progress in Research J. Murrins Misiukas et al. 10.3390/rs13122252
35. Resilient landscapes to prevent catastrophic forest fires: Socioeconomic insights towards a new paradigm S. Wunder et al. 10.1016/j.forpol.2021.102458
36. MOSEV: a global burn severity database from MODIS (2000–2020) E. Alonso-González & V. Fernández-García 10.5194/essd-13-1925-2021
37. 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
38. Putting fire on the map of Brazilian savanna ecoregions P. Silva et al. 10.1016/j.jenvman.2021.113098
39. 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
40. Wildland fire risk research in Canada L. Johnston et al. 10.1139/er-2019-0046
41. Consequences of a future increase in fire: The human health perspective N. French et al. 10.1016/j.oneear.2021.03.008
42. High fire frequency and the impact of the 2019–2020 megafires on Australian plant diversity R. Gallagher et al. 10.1111/ddi.13265
43. 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
44. Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm W. Ma et al. 10.3390/f11050507
45. Global increase in wildfire risk due to climate‐driven declines in fuel moisture T. Ellis et al. 10.1111/gcb.16006
46. Investigating hydro-climates of the Upper Blue Nile River Basin A. Alaminie & M. Jury 10.1080/02626667.2021.2011892
47. 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
48. Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al. 10.1111/1365-2745.13403
49. Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales Y. Chen et al. 10.1029/2019MS001955
50. Daily prediction modeling of forest fire ignition using meteorological drought indices in the Mexican highlands A. Vilchis-Francés et al. 10.3832/ifor3623-014
51. Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
52. 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
53. Current and future patterns of forest fire occurrence in China Z. Wu et al. 10.1071/WF19039
54. 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
55. Unveiling the Factors Responsible for Australia’s Black Summer Fires of 2019/2020 N. Levin et al. 10.3390/fire4030058
56. 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
57. 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
58. A global wildfire dataset for the analysis of fire regimes and fire behaviour T. Artés et al. 10.1038/s41597-019-0312-2
59. Pathways of savannization in a mesic African savanna–forest mosaic following an extreme fire H. Beckett et al. 10.1111/1365-2745.13851
60. Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model J. Teixeira et al. 10.5194/gmd-14-6515-2021
61. Deep neural networks for global wildfire susceptibility modelling G. Zhang et al. 10.1016/j.ecolind.2021.107735
62. Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado F. Santos et al. 10.1080/01431161.2020.1771791
63. 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
64. 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
65. Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. 10.5194/nhess-21-73-2021
66. Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. 10.1080/01431161.2021.1999529
67. Understanding fire regimes in Europe L. Galizia et al. 10.1071/WF21081
68. 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
69. 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
70. Spatiotemporal changes in forest loss and its linkage to burned areas in China Z. Wu et al. 10.1007/s11676-019-01062-0
71. Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
72. What shapes fire size and spread in African savannahs? S. Takacs et al. 10.1002/rse2.212
73. Multi-Unmanned-Aerial-Vehicle Wildfire Boundary Estimation Using a Semantic Segmentation Neural Network J. Castagno et al. 10.2514/1.I010912
74. Spatiotemporal data analysis with chronological networks L. Ferreira et al. 10.1038/s41467-020-17634-2
75. Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region M. Rodrigues et al. 10.1111/risa.13524
76. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
77. 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
78. Global fire emissions buffered by the production of pyrogenic carbon M. Jones et al. 10.1038/s41561-019-0403-x
79. 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
80. Negligible Quantities of Particulate Low‐Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River C. Häggi et al. 10.1029/2021GB006990
81. Carbon and nitrogen dynamics in tropical ecosystems following fire D. Jiang et al. 10.1111/geb.13422
82. Air quality measurements in the western Eagle Ford Shale G. Roest et al. 10.1525/elementa.414
83. 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
84. 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
85. Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. 10.1016/j.forpol.2021.102563
86. 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
87. Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon A. Pessôa et al. 10.3390/rs12233864
88. 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
89. Wildfire response to changing daily temperature extremes in California’s Sierra Nevada A. Gutierrez et al. 10.1126/sciadv.abe6417
90. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
91. Beyond Deforestation: Carbon Emissions From Land Grabbing and Forest Degradation in the Brazilian Amazon S. Kruid et al. 10.3389/ffgc.2021.645282
92. 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
93. Model-Based Estimation of Amazonian Forests Recovery Time after Drought and Fire Events B. De Faria et al. 10.3390/f12010008
94. Increasing heat and rainfall extremes now far outside the historical climate A. Robinson et al. 10.1038/s41612-021-00202-w
95. Frequent burning in chir pine forests, Uttarakhand, India P. Fulé et al. 10.1186/s42408-021-00106-3
96. 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
97. Spatio-temporal patterns of extreme fires in Amazonian forests A. Cano-Crespo et al. 10.1140/epjs/s11734-021-00164-3
98. Altered growth conditions more than reforestation counteracted forest biomass carbon emissions 1990–2020 J. Le Noë et al. 10.1038/s41467-021-26398-2
99. Vegetation fires in the Anthropocene D. Bowman et al. 10.1038/s43017-020-0085-3
100. ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread J. Katan & L. Perez 10.5194/nhess-21-3141-2021
101. Tropical Dry Forest Resilience to Fire Depends on Fire Frequency and Climate M. Hartung et al. 10.3389/ffgc.2021.755104
102. Fire from the Sky in the Anthropocene P. Fernandes et al. 10.3390/fire4010013
103. Criteria-Based Identification of Important Fuels for Wildland Fire Emission Research A. Watts et al. 10.3390/atmos11060640
104. 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
105. Palaeo-trajectories of forest savannization in the southern Congo J. Aleman et al. 10.1098/rsbl.2019.0284
106. 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
107. Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. 10.1007/s40641-019-00128-9