174 citations as recorded by crossref.

1. 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
2. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al. 10.5194/acp-16-11083-2016
3. Agreement Index for Burned Area Mapping: Integration of Multiple Spectral Indices Using Sentinel-2 Satellite Images D. Smiraglia et al. 10.3390/rs12111862
4. Spatiotemporal Variations and Uncertainty in Crop Residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation Y. Fu et al. 10.3390/rs13193880
5. Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia Y. Fu et al. 10.1016/j.envint.2022.107498
6. Estimating Fire Radiative Power Using Weather Radar Products for Wildfires P. Saide et al. 10.1029/2023GL104824
7. Use of geostationary and polar-orbiting satellites to estimate emissions from biomass burning in shifting cultivation prevalent areas of Northeast India M. Nonglait et al. 10.1007/s11356-025-36628-5
8. Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. 10.3390/fire6110426
9. Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. 10.1016/j.rse.2020.111727
10. Smoke emissions from the extreme wildfire events in central Portugal in October 2017 A. Fernandes et al. 10.1071/WF21097
11. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. 10.5194/gmd-17-8751-2024
12. Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product F. Li et al. 10.3390/rs12101561
13. Where Do Fires Burn More Intensely? Modeling and Mapping Maximum MODIS Fire Radiative Power from Aboveground Biomass by Fuel Type in Mexico D. Tinoco-Orozco et al. 10.3390/fire8020054
14. One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations K. Chatzopoulos-Vouzoglanis et al. 10.1016/j.jag.2023.103214
15. Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements H. Gordon et al. 10.5194/acp-20-10997-2020
16. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
17. Satellite-borne identification and quantification of wildfire smoke emissions in North America via a novel UV-based index Z. Suo et al. 10.1016/j.atmosenv.2025.121069
18. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
19. Light-absorbing particles in snow and ice: Measurement and modeling of climatic and hydrological impact Y. Qian et al. 10.1007/s00376-014-0010-0
20. Review of agricultural biomass burning and its impact on air quality in the continental United States of America S. Pinakana et al. 10.1016/j.envadv.2024.100546
21. Land Cover Disaggregated Fire Occurrence and Particulate Matter2.5 Relationship in the Mekong Region: A Comprehensive Study N. Adaktylou et al. 10.3390/ijgi13060206
22. Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
23. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
24. Extreme air pollution events in Hokkaido, Japan, traced back to early snowmelt and large-scale wildfires over East Eurasia: Case studies T. Yasunari et al. 10.1038/s41598-018-24335-w
25. Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
26. Carbon dioxide and particulate emissions from the 2013 Tasmanian firestorm: implications for Australian carbon accounting M. Ndalila et al. 10.1186/s13021-022-00207-9
27. Natural and continental influence on aerosol distributions over the northwestern Pacific Ocean in the late winter and early spring of 2021 T. Miyakawa et al. 10.1186/s40645-025-00752-0
28. Development of an emission estimation method with satellite observations for significant forest fires and comparison with global fire emission inventories: Application to catastrophic fires of summer 2021 over the Eastern Mediterranean E. Bilgiç et al. 10.1016/j.atmosenv.2023.119871
29. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al. 10.1088/1748-9326/ad3cf7
30. Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
31. The potential for fuel reduction to reduce wildfire intensity in a warming California P. Brown et al. 10.1088/1748-9326/adab86
32. Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements P. Saide et al. 10.1029/2022GL099175
33. Characterization of Wildfire‐Induced Aerosol Emissions From the Maritime Continent Peatland and Central African Dry Savannah with MISR and CALIPSO Aerosol Products H. Lee et al. 10.1002/2017JD027415
34. Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products Y. Fu et al. 10.3390/rs12182870
35. Mitigating Satellite‐Based Fire Sampling Limitations in Deriving Biomass Burning Emission Rates: Application to WRF‐Chem Model Over the Northern sub‐Saharan African Region J. Wang et al. 10.1002/2017JD026840
36. Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories M. Petrenko et al. 10.5194/acp-25-1545-2025
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. Particulate and Gas Emissions from Wildfires in the Southern Amazon, from 2020 to 2022, from GOES-16 Fire Radiative Power Retrievals T. da Nobrega & A. Correia 10.1021/acsestair.4c00209
39. Climatology of the aerosol optical depth by components from the Multi-angle Imaging SpectroRadiometer (MISR) and chemistry transport models H. Lee et al. 10.5194/acp-16-6627-2016
40. Ammonia emissions in tropical biomass burning regions: Comparison between satellite-derived emissions and bottom-up fire inventories S. Whitburn et al. 10.1016/j.atmosenv.2015.03.015
41. Investigating Smoke Aerosol Emission Coefficients Using MODIS Active Fire and Aerosol Products: A Case Study in the CONUS and Indonesia X. Lu et al. 10.1029/2018JG004974
42. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
43. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
44. A new top-down approach for directly estimating biomass burning emissions and fuel consumption rates and totals from geostationary satellite fire radiative power (FRP) B. Mota & M. Wooster 10.1016/j.rse.2017.12.016
45. Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products J. Li et al. 10.1016/j.jes.2015.08.024
46. Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season S. Henderson et al. 10.3389/fpubh.2021.499309
47. The impact of biomass burning emissions on protected natural areas in central and southern Mexico F. Trujano-Jiménez et al. 10.1007/s11356-020-12095-y
48. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
49. Impact of satellite AOD data on top-down estimation of biomass burning particulate matter emission X. Ye et al. 10.1016/j.scitotenv.2022.161055
50. Smoke dispersion modeling over complex terrain using high resolution meteorological data and satellite observations – The FireHub platform S. Solomos et al. 10.1016/j.atmosenv.2015.08.066
51. The relationship between wind speed and satellite measurements of fire radiative power B. Potter & K. Tannhauser 10.1071/WF22177
52. Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
53. An optimization approach to prescribed burning for mitigating PM25 emissions in wildfire management J. Qi & J. Zhuang 10.1016/j.jenvman.2025.124689
54. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
55. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. 10.1038/s41467-022-33680-4
56. Small fires, big gap: High-resolution VIIRS data reveal widespread underestimation of emissions in sub-Saharan Africa B. Ouattara et al. 10.1016/j.geomat.2025.100069
57. Status and quality evaluation of precursor emission inventories for PM<sub>2.5</sub> and ozone in China Z. Huang et al. 10.1360/TB-2021-0783
58. IASI-derived NH3 enhancement ratios relative to CO for the tropical biomass burning regions S. Whitburn et al. 10.5194/acp-17-12239-2017
59. 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
60. Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models S. Wang et al. 10.5194/acp-20-15401-2020
61. Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire X. Ye et al. 10.5194/acp-21-14427-2021
62. Global Emissions Inventory from Open Biomass Burning (GEIOBB): utilizing Fengyun-3D global fire spot monitoring data Y. Liu et al. 10.5194/essd-16-3495-2024
63. Influence of Meteorology and interrelationship with greenhouse gases (CO2 and CH4) at a suburban site of India G. Sreenivas et al. 10.5194/acp-16-3953-2016
64. Adverse Birth Outcomes Associated with Heat Stress and Wildfire Smoke Exposure During Preconception and Pregnancy R. Khalili et al. 10.1021/acs.est.4c10194
65. How Light‐Absorbing Properties of Organic Aerosol Modify the Asian Summer Monsoon Rainfall? J. Chu et al. 10.1002/2017JD027642
66. Methane Emissions in Boreal Forest Fire Regions: Assessment of Five Biomass-Burning Emission Inventories Based on Carbon Sensing Satellites S. Zhao et al. 10.3390/rs15184547
67. Tracking and classifying Amazon fire events in near real time N. Andela et al. 10.1126/sciadv.abd2713
68. Spatial Predictive Modeling of the Burning of Sugarcane Plots in Northeast Thailand with Selection of Factor Sets Using a GWR Model and Machine Learning Based on an ANN-CA P. Littidej et al. 10.3390/sym14101989
69. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
70. Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest J. Johnston et al. 10.3390/fire1020028
71. A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records F. Li et al. 10.1016/j.rse.2019.111600
72. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
73. Advancing FRP Retrieval: Bridging Theory and Application W. Deng et al. 10.1109/TGRS.2024.3470538
74. Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data H. Nguyen et al. 10.5194/acp-23-2089-2023
75. Reviews and syntheses: Arctic fire regimes and emissions in the 21st century J. McCarty et al. 10.5194/bg-18-5053-2021
76. Wildfire burn severity and emissions inventory: an example implementation over California Q. Xu et al. 10.1088/1748-9326/ac80d0
77. Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. 10.1038/s41612-024-00781-4
78. Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 Y. Xu et al. 10.1038/s41597-023-02541-0
79. The unusual stubble burning season of 2020 in northern India: a satellite perspective P. Gupta et al. 10.1080/01431161.2023.2277160
80. Detecting nighttime fire combustion phase by hybrid application of visible and infrared radiation from Suomi NPP VIIRS J. Wang et al. 10.1016/j.rse.2019.111466
81. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. 10.5194/acp-20-969-2020
82. Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al. 10.1038/s41612-024-00841-9
83. Optical properties of biomass burning aerosol during the 2021 Oregon fire season: comparison between wild and prescribed fires A. Marsavin et al. 10.1039/D2EA00118G
84. Ammonia emissions from biomass burning in the continental United States C. Bray et al. 10.1016/j.atmosenv.2018.05.052
85. Satellite Monitoring for Air Quality and Health T. Holloway et al. 10.1146/annurev-biodatasci-110920-093120
86. A review of approaches to estimate wildfire plume injection height within large-scale atmospheric chemical transport models R. Paugam et al. 10.5194/acp-16-907-2016
87. Modeled and observed properties related to the direct aerosol radiative effect of biomass burning aerosol over the southeastern Atlantic S. Doherty et al. 10.5194/acp-22-1-2022
88. Impact of post-monsoon crop residue burning on PM2.5 over northern India: optimizing emissions using a high-density in situ surface observation network M. Kajino et al. 10.5194/acp-25-7137-2025
89. High Temporal Resolution Satellite Observations of Fire Radiative Power Reveal Link Between Fire Behavior and Aerosol and Gas Emissions E. Wiggins et al. 10.1029/2020GL090707
90. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
91. Uncovering transport, deposition and impact of radionuclides released after the early spring 2020 wildfires in the Chernobyl Exclusion Zone N. Evangeliou & S. Eckhardt 10.1038/s41598-020-67620-3
92. Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. 10.1029/2021GL094908
93. Reconciling Assumptions in Bottom‐Up and Top‐Down Approaches for Estimating Aerosol Emission Rates From Wildland Fires Using Observations From FIREX‐AQ E. Wiggins et al. 10.1029/2021JD035692
94. Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. 10.3390/s20247075
95. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite I. van der Velde et al. 10.1038/s41586-021-03712-y
96. First study of Sentinel-3 SLSTR active fire detection and FRP retrieval: Night-time algorithm enhancements and global intercomparison to MODIS and VIIRS AF products W. Xu et al. 10.1016/j.rse.2020.111947
97. Direct estimates of biomass burning NOx emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
98. Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic K. Vadrevu et al. 10.1038/s41598-022-22834-5
99. Empowering communities: Advancements in air quality monitoring and citizen engagement H. Relvas et al. 10.1016/j.uclim.2025.102344
100. Satellite‐Observed Impacts of Wildfires on Regional Atmosphere Composition and the Shortwave Radiative Forcing: A Multiple Case Study Y. Fu et al. 10.1029/2017JD027927
101. Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States A. Marsha & N. Larkin 10.3390/fire5050147
102. Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations H. Kim et al. 10.5194/acp-20-10259-2020
103. Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires C. Stockwell et al. 10.1021/acs.est.1c07121
104. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
105. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. 10.5194/acp-18-12551-2018
106. Near-real-time estimation of hourly open biomass burning emissions in China using multiple satellite retrievals Y. Xu et al. 10.1016/j.scitotenv.2021.152777
107. Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5 S. Cleland et al. 10.1021/acs.est.0c03761
108. Intercomparison of MODIS AQUA and VIIRS I-Band Fires and Emissions in an Agricultural Landscape—Implications for Air Pollution Research K. Vadrevu & K. Lasko 10.3390/rs10070978
109. Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster 10.1016/j.rse.2020.111971
110. Using multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements Y. Gu et al. 10.1016/j.ecoinf.2025.103358
111. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
112. Residential heating emissions (can) exceed paddy-residue burning emissions in rural northwest India H. Pawar & B. Sinha 10.1016/j.atmosenv.2021.118846
113. How Do Emission Factors Contribute to the Uncertainty in Biomass Burning Emissions in the Amazon and Cerrado? G. Mataveli et al. 10.3390/atmos16040423
114. Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar Y. Liu et al. 10.1016/j.solener.2022.01.061
115. Evaluating secondary inorganic aerosols in three dimensions K. Mezuman et al. 10.5194/acp-16-10651-2016
116. Modeling and remote sensing of an indirect Pyro-Cb formation and biomass transport from Portugal wildfires towards Europe S. Solomos et al. 10.1016/j.atmosenv.2019.03.009
117. Development of a REgion‐Specific Ecosystem Feedback Fire (RESFire) Model in the Community Earth System Model Y. Zou et al. 10.1029/2018MS001368
118. Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al. 10.5194/acp-24-6787-2024
119. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
120. Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke B. Holanda et al. 10.5194/acp-20-4757-2020
121. Climatological analysis of aerosol optical properties over East Africa observed from space-borne sensors during 2001–2015 R. Boiyo et al. 10.1016/j.atmosenv.2016.12.050
122. Characterization of carbonaceous aerosols in Asian outflow in the spring of 2015: Importance of non-fossil fuel sources T. Miyakawa et al. 10.1016/j.atmosenv.2019.116858
123. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. 10.3390/f12091217
124. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. 10.3390/rs10101609
125. Bottom-up emission inventories of multiple air pollutants from open straw burning: A case study of Jiangsu province, Eastern China L. Li et al. 10.1016/j.apr.2018.09.011
126. Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
127. Improved estimation of fire particulate emissions using a combination of VIIRS and AHI data for Indonesia during 2015–2020 X. Lu et al. 10.1016/j.rse.2022.113238
128. Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
129. Biomass burning aerosols characterization from ground based and profiling measurements C. Marin et al. 10.1051/epjconf/201817608013
130. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
131. Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016 Y. Shinozuka et al. 10.5194/acp-20-11491-2020
132. 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
133. 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
134. Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2 K. Chatzopoulos-Vouzoglanis et al. 10.1016/j.jag.2024.103673
135. Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia Y. Jin et al. 10.5194/acp-24-367-2024
136. Evaluation of biomass burning aerosols in the HadGEM3 climate model with observations from the SAMBBA field campaign B. Johnson et al. 10.5194/acp-16-14657-2016
137. Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
138. The Effect of Combustion Conditions on Emissions of Elemental Carbon and Organic Carbon and Formation of Secondary Organic Carbon in Simulated Wildland Fires R. Penland et al. 10.1021/acsestair.4c00300
139. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
140. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. 10.1029/2021GL095452
141. Thermodynamically constrained retrieval algorithm to estimate subpixel fire properties C. Zhang et al. 10.1016/j.rse.2025.114871
142. Highly anomalous fire emissions from the 2019–2020 Australian bushfires F. Li et al. 10.1088/2515-7620/ac2e6f
143. Greenhouse gas emissions from agricultural residue burning have increased by 75 % since 2011 across India M. Deshpande et al. 10.1016/j.scitotenv.2023.166944
144. Shortwave IR Adaption of the Mid-Infrared Radiance Method of Fire Radiative Power (FRP) Retrieval for Assessing Industrial Gas Flaring Output D. Fisher & M. Wooster 10.3390/rs10020305
145. Brown Carbon Emissions from Biomass Burning under Simulated Wildfire and Prescribed-Fire Conditions C. Glenn et al. 10.1021/acsestair.4c00089
146. 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
147. Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
148. Characterization and Trends of Fine Particulate Matter (PM2.5) Fire Emissions in the Brazilian Cerrado during 2002–2017 G. Mataveli et al. 10.3390/rs11192254
149. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke L. Li et al. 10.1016/j.envint.2020.106143
150. Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model Y. Li et al. 10.1029/2020JD032768
151. The Fire Inventory from NCAR version 2.5: an updated global fire emissions model for climate and chemistry applications C. Wiedinmyer et al. 10.5194/gmd-16-3873-2023
152. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. 10.5194/acp-17-6423-2017
153. Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) G. Ferrada et al. 10.5194/gmd-15-8085-2022
154. Comparing geostationary and polar-orbiting satellite sensor estimates of Fire Radiative Power (FRP) during the Black Summer Fires (2019–2020) in south-eastern Australia K. Chatzopoulos-Vouzoglanis et al. 10.1071/WF21144
155. Large-scale agricultural burning and cardiorespiratory emergency department visits in the U.S. state of Kansas A. Pennington et al. 10.1038/s41370-023-00531-3
156. Interannual climate variation, land type and village livelihood effects on fires in Kalimantan, Indonesia T. Santika et al. 10.1016/j.gloenvcha.2020.102129
157. An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the conterminous United States F. Li et al. 10.1088/1748-9326/ab9d3a
158. Complex Remote Sensing Analysis of Fire Precursors in the Tropical Region: Case Study J. Hoyos et al. 10.3390/f16050779
159. Satellite‐based top‐down Lagrangian approach to quantify aerosol emissions over California S. Nizar & B. Dodamani 10.1002/qj.3756
160. Biomass Burning and Water Balance Dynamics in the Lake Chad Basin in Africa F. Black et al. 10.3390/earth2020020
161. Biomass burning emission estimation in the MODIS era: State-of-the-art and future directions M. Parrington et al. 10.1525/elementa.2024.00089
162. Investigating dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano 10.1002/2016JD025216
163. Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products T. Liu et al. 10.1088/2515-7620/ab056c
164. High-resolution city-scale cooking emission inventory based on internet big data M. He et al. 10.1016/j.apr.2025.102657
165. NU-WRF Aerosol Transport Simulation over West Africa: Effects of Biomass Burning on Smoke Aerosol Distribution T. Iguchi et al. 10.1175/JAMC-D-17-0278.1
166. HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts C. Whaley et al. 10.5194/gmd-18-3265-2025
167. Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
168. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
169. Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires X. Lu et al. 10.1088/1748-9326/ac2011
170. Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States F. Li et al. 10.1016/j.atmosenv.2019.05.017
171. Biomass burning aerosol over Romania using dispersion model and Calipso data V. Nicolae et al. 10.1051/epjconf/201817604012
172. Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region F. Zhang et al. 10.1088/1748-9326/9/7/075002
173. Multi-year MODIS active fire type classification over the Brazilian Tropical Moist Forest Biome D. Roy & S. Kumar 10.1080/17538947.2016.1208686
174. Analysis of Southeast Asian pollution episode during June 2013 using satellite remote sensing datasets K. Vadrevu et al. 10.1016/j.envpol.2014.06.017