151 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. Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. 10.3390/fire6110426
8. 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
9. Smoke emissions from the extreme wildfire events in central Portugal in October 2017 A. Fernandes et al. 10.1071/WF21097
10. 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
11. 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
12. 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
13. 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
14. The interactive global fire module pyrE (v1.0) K. Mezuman et al. 10.5194/gmd-13-3091-2020
15. 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
16. 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
17. Land Cover Disaggregated Fire Occurrence and Particulate Matter2.5 Relationship in the Mekong Region: A Comprehensive Study N. Adaktylou et al. 10.3390/ijgi13060206
18. Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
19. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
20. 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
21. Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
22. 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
23. 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
24. 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
25. Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
26. Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements P. Saide et al. 10.1029/2022GL099175
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
35. Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
36. 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
37. 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
38. 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
39. 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
40. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
41. 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
42. 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
43. The relationship between wind speed and satellite measurements of fire radiative power B. Potter & K. Tannhauser 10.1071/WF22177
44. 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
45. Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
46. 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
47. 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
48. IASI-derived NH<sub>3</sub> enhancement ratios relative to CO for the tropical biomass burning regions S. Whitburn et al. 10.5194/acp-17-12239-2017
49. 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
50. 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
51. 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
52. 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
53. Influence of Meteorology and interrelationship with greenhouse gases (CO<sub>2</sub> and CH<sub>4</sub>) at a suburban site of India G. Sreenivas et al. 10.5194/acp-16-3953-2016
54. How Light‐Absorbing Properties of Organic Aerosol Modify the Asian Summer Monsoon Rainfall? J. Chu et al. 10.1002/2017JD027642
55. 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
56. Tracking and classifying Amazon fire events in near real time N. Andela et al. 10.1126/sciadv.abd2713
57. 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
58. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. 10.1002/2017JD026693
59. Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest J. Johnston et al. 10.3390/fire1020028
60. 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
61. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
62. 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
63. Reviews and syntheses: Arctic fire regimes and emissions in the 21st century J. McCarty et al. 10.5194/bg-18-5053-2021
64. Wildfire burn severity and emissions inventory: an example implementation over California Q. Xu et al. 10.1088/1748-9326/ac80d0
65. 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
66. 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
67. The unusual stubble burning season of 2020 in northern India: a satellite perspective P. Gupta et al. 10.1080/01431161.2023.2277160
68. 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
69. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. 10.5194/acp-20-969-2020
70. 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
71. Ammonia emissions from biomass burning in the continental United States C. Bray et al. 10.1016/j.atmosenv.2018.05.052
72. Satellite Monitoring for Air Quality and Health T. Holloway et al. 10.1146/annurev-biodatasci-110920-093120
73. 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
74. 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
75. 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
76. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
77. 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
78. 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
79. 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
80. 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
81. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite I. van der Velde et al. 10.1038/s41586-021-03712-y
82. 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
83. Direct estimates of biomass burning NO<sub><i>x</i></sub> emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
84. 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
85. 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
86. Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States A. Marsha & N. Larkin 10.3390/fire5050147
87. 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
88. 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
89. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
90. 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
91. 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
92. 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
93. 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
94. 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
95. Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
96. Residential heating emissions (can) exceed paddy-residue burning emissions in rural northwest India H. Pawar & B. Sinha 10.1016/j.atmosenv.2021.118846
97. 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
98. Evaluating secondary inorganic aerosols in three dimensions K. Mezuman et al. 10.5194/acp-16-10651-2016
99. 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
100. Development of a REgion‐Specific Ecosystem Feedback Fire (RESFire) Model in the Community Earth System Model Y. Zou et al. 10.1029/2018MS001368
101. 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
102. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
103. 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
104. 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
105. 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
106. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. 10.3390/f12091217
107. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. 10.3390/rs10101609
108. 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
109. Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
110. 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
111. Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
112. Biomass burning aerosols characterization from ground based and profiling measurements C. Marin et al. 10.1051/epjconf/201817608013
113. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. 10.3390/rs10091326
114. 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
115. 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
116. 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
117. 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
118. 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
119. 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
120. Reduced global fire activity due to human demography slows global warming by enhanced land carbon uptake C. Wu et al. 10.1073/pnas.2101186119
121. Smoke emissions from agricultural fires in Mexico and Central America B. Rios & G. Raga 10.1117/1.JRS.13.036509
122. A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations F. Di Giuseppe et al. 10.1029/2021GL095452
123. Highly anomalous fire emissions from the 2019–2020 Australian bushfires F. Li et al. 10.1088/2515-7620/ac2e6f
124. 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
125. 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
126. Brown Carbon Emissions from Biomass Burning under Simulated Wildfire and Prescribed-Fire Conditions C. Glenn et al. 10.1021/acsestair.4c00089
127. 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
128. Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
129. 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
130. 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
131. Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model Y. Li et al. 10.1029/2020JD032768
132. 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
133. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al. 10.5194/acp-17-6423-2017
134. Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0) G. Ferrada et al. 10.5194/gmd-15-8085-2022
135. 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
136. 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
137. Interannual climate variation, land type and village livelihood effects on fires in Kalimantan, Indonesia T. Santika et al. 10.1016/j.gloenvcha.2020.102129
138. 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
139. Satellite‐based top‐down Lagrangian approach to quantify aerosol emissions over California S. Nizar & B. Dodamani 10.1002/qj.3756
140. Biomass Burning and Water Balance Dynamics in the Lake Chad Basin in Africa F. Black et al. 10.3390/earth2020020
141. 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
142. 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
143. 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
144. Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
145. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
146. Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires X. Lu et al. 10.1088/1748-9326/ac2011
147. 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
148. Biomass burning aerosol over Romania using dispersion model and Calipso data V. Nicolae et al. 10.1051/epjconf/201817604012
149. 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
150. Multi-year MODIS active fire type classification over the Brazilian Tropical Moist Forest Biome D. Roy & S. Kumar 10.1080/17538947.2016.1208686
151. 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