402 citations as recorded by crossref.

1. 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
2. OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
3. Influence of agricultural activities, forest fires and agro-industries on air quality in Thailand W. Phairuang et al. 10.1016/j.jes.2016.02.007
4. Net biome production of the Amazon Basin in the 21st century B. POULTER et al. 10.1111/j.1365-2486.2009.02064.x
5. Fire Regime Analysis in Lebanon (2001–2020): Combining Remote Sensing Data in a Scarcely Documented Area G. Majdalani et al. 10.3390/fire5050141
6. Global Pyrogeography: the Current and Future Distribution of Wildfire M. Krawchuk et al. 10.1371/journal.pone.0005102
7. Detection of vegetation fires and burnt areas by remote sensing in insular Southeast Asian conditions: current status of knowledge and future challenges J. Miettinen et al. 10.1080/01431161.2013.777489
8. Tools based on proprietary and free/open source geospatial software for CO emission maps analysis and comparison F. Migliaccio et al. 10.1007/s12518-011-0075-8
9. Spatial and temporal variability in the ratio of trace gases emitted from biomass burning T. van Leeuwen & G. van der Werf 10.5194/acp-11-3611-2011
10. Performance of heat spots obtained from satellite datasets to represent burned areas in Andean ecosystems of Cusco, Peru R. Zubieta et al. 10.1016/j.rsase.2023.101020
11. Modeling study of biomass burning plumes and their impact on urban air quality; a case study of Santiago de Chile G. Cuchiara et al. 10.1016/j.atmosenv.2017.07.002
12. Fire Eases Imbalances of Nitrogen and Phosphorus in Woody Plants F. Dijkstra & M. Adams 10.1007/s10021-015-9861-1
13. Detection rates of the MODIS active fire product in the United States T. Hawbaker et al. 10.1016/j.rse.2007.12.008
14. An operational system for the assimilation of the satellite information on wild-land fires for the needs of air quality modelling and forecasting M. Sofiev et al. 10.5194/acp-9-6833-2009
15. Defining a fire year for reporting and analysis of global interannual fire variability L. Boschetti & D. Roy 10.1029/2008JG000686
16. Biomass-burning smoke heights over the Amazon observed from space L. Gonzalez-Alonso et al. 10.5194/acp-19-1685-2019
17. Atmospheric impacts of the 2010 Russian wildfires: integrating modelling and measurements of an extreme air pollution episode in the Moscow region I. Konovalov et al. 10.5194/acp-11-10031-2011
18. The Value of Satellite-Based Active Fire Data for Monitoring, Reporting and Verification of REDD+ in the Lao PDR D. Müller et al. 10.1007/s10745-013-9565-0
19. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
20. GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National Forest Park, Nanjing P. Zhao et al. 10.3390/rs13183704
21. Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics Z. Shuo et al. 10.1515/geo-2020-0265
22. Variations of concentration of aerosol particles (≤10 μm) in Vilnius D. Šopauskienė & D. Jasinevičienė 10.3952/lithjphys.49303
23. Large-scale weather types, forest fire danger, and wildfire occurrence in the Alps C. Wastl et al. 10.1016/j.agrformet.2012.08.011
24. Estimating Asian terrestrial carbon fluxes from CONTRAIL aircraft and surface CO<sub>2</sub> observations for the period 2006–2010 H. Zhang et al. 10.5194/acp-14-5807-2014
25. Pola Distribusi Spasial-Temporal Hotspot dan Variasi Standardized Precipitation Index pada Lahan Gambut Tropis di Kepulauan Meranti, Riau M. Riyadi et al. 10.14710/jil.20.3.457-464
26. Remote Sensing and GIS Based Forest Fire Vulnerability Assessment in Dachigam National Park, North Western Himalaya M. Rather et al. 10.3923/ajaps.2018.98.114
27. Spatial analysis of hotspot data for tracing the source of annual peat fires in South Sumatera, Indonesia A. Hamzah et al. 10.1088/1755-1315/393/1/012068
28. Evaluating the performance of pyrogenic and biogenic emission inventories against one decade of space-based formaldehyde columns T. Stavrakou et al. 10.5194/acp-9-1037-2009
29. CO emissions from biomass burning in South-east Asia in the 2006 El Niño year: shipboard and AIRS satellite observations H. Nara et al. 10.1071/EN10113
30. Comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from multiple satellite products Y. Shi et al. 10.1016/j.envpol.2015.08.009
31. Relationship between MODIS fire hot spot count and burned area in a degraded tropical peat swamp forest in Central Kalimantan, Indonesia K. Tansey et al. 10.1029/2008JD010717
32. Human‐mediated trophic mismatch between fire, plants and herbivores M. Lashley et al. 10.1111/ecog.06045
33. Initial Estimates of Mercury Emissions to the Atmosphere from Global Biomass Burning H. Friedli et al. 10.1021/es802703g
34. Quantifying burned area of wildfires in the western United States from polar-orbiting and geostationary satellite active-fire detections M. Berman et al. 10.1071/WF22022
35. Using continental observations in global atmospheric inversions of CO₂: North American carbon sources and sinks M. Butler et al. 10.1111/j.1600-0889.2010.00501.x
36. Ethane, ethyne and carbon monoxide concentrations in the upper troposphere and lower stratosphere from ACE and GEOS-Chem: a comparison study G. González Abad et al. 10.5194/acp-11-9927-2011
37. Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa E. Roteta et al. 10.1016/j.rse.2018.12.011
38. Quantifying regional, time-varying effects of cropland and pasture on vegetation fire S. Rabin et al. 10.5194/bg-12-6591-2015
39. A VIIRS direct broadcast algorithm for rapid response mapping of wildfire burned area in the western United States S. Urbanski et al. 10.1016/j.rse.2018.10.007
40. Evolution of the representation of global vegetation by vegetation continuous fields C. DiMiceli et al. 10.1016/j.rse.2020.112271
41. Smoke emissions from the extreme wildfire events in central Portugal in October 2017 A. Fernandes et al. 10.1071/WF21097
42. Utility of daily 3 m Planet Fusion Surface Reflectance data for tillage practice mapping with deep learning D. Luo et al. 10.1016/j.srs.2023.100085
43. Fire Response to Local Climate Variability: Huascarán National Park, Peru J. All et al. 10.4996/fireecology.130288764
44. Predictive fire occurrence modelling to improve burned area estimation at a regional scale: A case study in East Caprivi, Namibia M. Siljander 10.1016/j.jag.2009.06.004
45. Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes P. Ferro et al. 10.3390/fire7030067
46. Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data M. Wulder et al. 10.1016/j.rse.2009.03.004
47. Characterising fire spatial pattern interactions with climate and vegetation in Colombia D. Armenteras-Pascual et al. 10.1016/j.agrformet.2010.11.002
48. Net ecosystem fluxes of isoprene over tropical South America inferred from Global Ozone Monitoring Experiment (GOME) observations of HCHO columns M. Barkley et al. 10.1029/2008JD009863
49. Global upper-tropospheric formaldehyde: seasonal cycles observed by the ACE-FTS satellite instrument G. Dufour et al. 10.5194/acp-9-3893-2009
50. Estimating carbon emissions from African wildfires V. Lehsten et al. 10.5194/bg-6-349-2009
51. Co-variability of smoke and fire in the Amazon basin A. Mishra et al. 10.1016/j.atmosenv.2015.03.007
52. Ammonia emissions from biomass burning in the continental United States C. Bray et al. 10.1016/j.atmosenv.2018.05.052
53. Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways D. Henze et al. 10.5194/acp-8-2405-2008
54. Climate change feedbacks to microbial decomposition in boreal soils S. Allison & K. Treseder 10.1016/j.funeco.2011.01.003
55. The Impact of Accounting for Future Wood Production in Global Vertebrate Biodiversity Assessments K. Schulze et al. 10.1007/s00267-020-01322-4
56. Progress and Challenges in Quantifying Wildfire Smoke Emissions, Their Properties, Transport, and Atmospheric Impacts I. Sokolik et al. 10.1029/2018JD029878
57. Self-Adjusting Thresholding for Burnt Area Detection Based on Optical Images E. Woźniak & S. Aleksandrowicz 10.3390/rs11222669
58. Fire decreases gross mineralization rate but does not alter gross nitrification rate in boreal forest soils W. Su et al. 10.1016/j.soilbio.2022.108838
59. An Algorithm for Burned Area Detection in the Brazilian Cerrado Using 4 µm MODIS Imagery R. Libonati et al. 10.3390/rs71115782
60. Spatial distribution of grassland fires at the regional scale based on the MODIS active fire products Z. Zhang et al. 10.1071/WF16026
61. Fire parameterization on a global scale O. Pechony & D. Shindell 10.1029/2009JD011927
62. Chemical apportionment of southern African aerosol mass and optical depth B. Magi 10.5194/acp-9-7643-2009
63. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009) G. van der Werf et al. 10.5194/acp-10-11707-2010
64. Global impacts of aerosols from particular source regions and sectors D. Koch et al. 10.1029/2005JD007024
65. Assessment of gaseous emissions and radiative forcing in Indian forest fires N. Manojkumar & B. Srimuruganandam 10.1080/00207233.2019.1596387
66. Temporal and spatial dynamics in emission of water-soluble ions in fine particulate matter during forest fires in Southwest China X. Zhan et al. 10.3389/ffgc.2023.1250038
67. Defining fire spread event days for fire-growth modelling J. Podur & B. Wotton 10.1071/WF09001
68. The Chemistry CATT-BRAMS model (CCATT-BRAMS 4.5): a regional atmospheric model system for integrated air quality and weather forecasting and research K. Longo et al. 10.5194/gmd-6-1389-2013
69. The European carbon balance. Part 2: croplands P. CIAIS et al. 10.1111/j.1365-2486.2009.02055.x
70. A new, global, multi‐annual (2000–2007) burnt area product at 1 km resolution K. Tansey et al. 10.1029/2007GL031567
71. Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands M. Turetsky et al. 10.1038/ngeo1027
72. The Collection 6 MODIS burned area mapping algorithm and product L. Giglio et al. 10.1016/j.rse.2018.08.005
73. Mercury from wildfires: Global emission inventories and sensitivity to 2000–2050 global change A. Kumar et al. 10.1016/j.atmosenv.2017.10.061
74. Estimating smoke emissions over the US Southern Great Plains using MODIS fire radiative power and aerosol observations N. Jordan et al. 10.1016/j.atmosenv.2007.12.023
75. An Unsupervised Burned Area Mapping Approach Using Sentinel-2 Images M. Sismanis et al. 10.3390/land12020379
76. The covariation of Northern Hemisphere summertime CO<sub>2</sub> with surface temperature in boreal regions D. Wunch et al. 10.5194/acp-13-9447-2013
77. Fire occurrence on Mount Kenya and patterns of burning T. Downing et al. 10.1016/j.grj.2016.12.003
78. Fire dynamics during the 20th century simulated by the Community Land Model S. Kloster et al. 10.5194/bg-7-1877-2010
79. The Spatial–Temporal Emission of Air Pollutants from Biomass Burning during Haze Episodes in Northern Thailand P. Paluang et al. 10.3390/fire7040122
80. Machine Learning for Estimating Leaf Dust Retention Based on Hyperspectral Measurements W. Jing et al. 10.1155/2018/6026259
81. Large wildfire driven increases in nighttime fire activity observed across CONUS from 2003–2020 P. Freeborn et al. 10.1016/j.rse.2021.112777
82. Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. 10.1525/elementa.265
83. Seasonality of vegetation fires as modified by human action: observing the deviation from eco‐climatic fire regimes Y. Le Page et al. 10.1111/j.1466-8238.2010.00525.x
84. Determinants and predictability of global wildfire emissions W. Knorr et al. 10.5194/acp-12-6845-2012
85. Nonlinear rainfall effects on savanna fire activity across the African Humid Period A. Karp et al. 10.1016/j.quascirev.2023.107994
86. Nutrient content and stoichiometry of pelagic Sargassum reflects increasing nitrogen availability in the Atlantic Basin B. Lapointe et al. 10.1038/s41467-021-23135-7
87. Nitrogen deposition in tropical forests from savanna and deforestation fires Y. CHEN et al. 10.1111/j.1365-2486.2009.02156.x
88. Inventory of boreal fire emissions for North America in 2004: Importance of peat burning and pyroconvective injection S. Turquety et al. 10.1029/2006JD007281
89. Spectral–Spatial Adaptive Area-to-Point Regression Kriging for MODIS Image Downscaling Y. Zhang et al. 10.1109/JSTARS.2017.2650260
90. Remote sensing estimates of stand-replacement fires in Russia, 2002–2011 A. Krylov et al. 10.1088/1748-9326/9/10/105007
91. Estimating Lightning from Microwave Remote Sensing Data B. Magi et al. 10.1175/JAMC-D-15-0306.1
92. Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scars A. Tariq et al. 10.1080/19475705.2023.2190856
93. A MODIS-based spatiotemporal assessment of agricultural residue burning in Madhya Pradesh, India S. Verma et al. 10.1016/j.ecolind.2018.04.042
94. Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al. 10.1016/j.scitotenv.2023.162825
95. Forest Fire Risk Zone Mapping of Aalital Rural Municipality, Dadeldhura District, Nepal P. Subedi et al. 10.47352/jmans.2774-3047.115
96. Biofuels: Effects on Land and Fire K. Kline & V. Dale 10.1126/science.321.5886.199
97. Determination of enhancement ratios of HCOOH relative to CO in biomass burning plumes by the Infrared Atmospheric Sounding Interferometer (IASI) M. Pommier et al. 10.5194/acp-17-11089-2017
98. Identifying industrial heat sources using time-series of the VIIRS Nightfire product with an object-oriented approach Y. Liu et al. 10.1016/j.rse.2017.10.019
99. Spatiotemporal variation in nonagricultural open fire emissions in China from 2000 to 2007 Y. Song et al. 10.1029/2008GB003344
100. The Spatiotemporal Changing Dynamics of Miombo Deforestation and Illegal Human Activities for Forest Fire in Kundelungu National Park, Democratic Republic of the Congo Y. Sikuzani et al. 10.3390/fire6050174
101. Can We Go Beyond Burned Area in the Assessment of Global Remote Sensing Products with Fire Patch Metrics? J. Nogueira et al. 10.3390/rs9010007
102. The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 2: Model sensitivity to the biomass burning inventories K. Longo et al. 10.5194/acp-10-5785-2010
103. GLOBAL BURNED-LAND ESTIMATION IN LATIN AMERICA USING MODIS COMPOSITE DATA E. Chuvieco et al. 10.1890/06-2148.1
104. Defining pyromes and global syndromes of fire regimes S. Archibald et al. 10.1073/pnas.1211466110
105. Improved biomass burning emissions from 1750 to 2010 using ice core records and inverse modeling B. Zhang et al. 10.1038/s41467-024-47864-7
106. Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests J. Chambers et al. 10.1016/j.tree.2007.05.001
107. Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India – A multi-scale satellite remote sensing approach G. Amarnath et al. 10.1016/j.ejrs.2017.05.004
108. Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective X. Li et al. 10.1007/s10694-023-01531-3
109. Nationwide summer peaks of OC/EC ratios in the contiguous United States T. Zeng & Y. Wang 10.1016/j.atmosenv.2010.10.038
110. RELAÇÃO ENTRE O ÂNGULO DE VISADA E A ESTIMATIVA DA POTÊNCIA RADIATIVA DO FOGO G. Mataveli et al. 10.1590/S1982-21702015000200021
111. Evaluating the efficiency of the Dong model in determining fire vulnerability in Iran’s Zagros forests S. Baqer Rasooli & A. Bonyad 10.1007/s11676-018-0765-8
112. Comparison of forest burned areas in mainland China derived from MCD45A1 and data recorded in yearbooks from 2001 to 2011 J. Li et al. 10.1071/WF14031
113. Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED) D. van Wees & G. van der Werf 10.5194/gmd-12-4681-2019
114. Improvement of human-induced wildfire occurrence modeling from a spatial variation of anthropogenic ignition factor in the CLM5 L. Cai et al. 10.1088/1748-9326/acf1b6
115. Biomass burning fuel consumption dynamics in the tropics and subtropics assessed from satellite N. Andela et al. 10.5194/bg-13-3717-2016
116. How do forest fires affect soil greenhouse gas emissions in upland boreal forests? A review C. Ribeiro-Kumara et al. 10.1016/j.envres.2020.109328
117. The sensitivity of CO and aerosol transport to the temporal and vertical distribution of North American boreal fire emissions Y. Chen et al. 10.5194/acp-9-6559-2009
118. Population pressure and global markets drive a decade of forest cover change in Africa's Albertine Rift S. Ryan et al. 10.1016/j.apgeog.2017.02.009
119. The effect of fire on microbial biomass: a meta-analysis of field studies S. Dooley & K. Treseder 10.1007/s10533-011-9633-8
120. A patch-based algorithm for global and daily burned area mapping M. Campagnolo et al. 10.1016/j.rse.2019.111288
121. Climate regulation of fire emissions and deforestation in equatorial Asia G. van der Werf et al. 10.1073/pnas.0803375105
122. Estimates of CO2 from fires in the United States: implications for carbon management C. Wiedinmyer & J. Neff 10.1186/1750-0680-2-10
123. Terrestrial Vegetation in the Coupled Human-Earth System: Contributions of Remote Sensing R. DeFries 10.1146/annurev.environ.33.020107.113339
124. Historical Forest fire Occurrence Analysis in Jambi Province During the Period of 2000 – 2015: Its Distribution & Land Cover Trajectories L. Prasetyo et al. 10.1016/j.proenv.2016.03.096
125. Integrating remotely sensed fires for predicting deforestation for REDD+ D. Armenteras et al. 10.1002/eap.1522
126. Amazon fires in the 21st century: The year of 2020 in evidence M. Silveira et al. 10.1111/geb.13577
127. MODIS–Landsat fusion for large area 30 m burned area mapping L. Boschetti et al. 10.1016/j.rse.2015.01.022
128. Estimates of carbon monoxide emissions from wildfires in northern Eurasia for airquality assessment and climate modeling A. Vivchar et al. 10.1134/S0001433810030023
129. Source contributions to carbonaceous aerosol concentrations in Korea J. Jeong et al. 10.1016/j.atmosenv.2010.11.031
130. GEM-AQ/EC, an on-line global multi-scale chemical weather modelling system: model development and evaluation of global aerosol climatology S. Gong et al. 10.5194/acp-12-8237-2012
131. Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region A. Siméon et al. 10.5194/acp-21-17775-2021
132. Impacts of Russian biomass burning on UK air quality C. Witham & A. Manning 10.1016/j.atmosenv.2007.06.058
133. Hydroclimate variability was the main control on fire activity in northern Africa over the last 50,000 years H. Moore et al. 10.1016/j.quascirev.2022.107578
134. Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injury M. Dickinson et al. 10.1071/WF18164
135. Ecosystem services and forest fires in India — Context and policy implications from a case study in Andhra Pradesh J. Schmerbeck et al. 10.1016/j.forpol.2014.09.012
136. Estimating burn severity and carbon emissions from a historic megafire in boreal forests of China W. Xu et al. 10.1016/j.scitotenv.2020.136534
137. Contribution of ‘human induced fires’ to forest and savanna land conversion dynamics in the Luki Biosphere Reserve landscape, western Democratic Republic of Congo N. Cirezi et al. 10.1080/01431161.2022.2138622
138. Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements I. Ocko & P. Ginoux 10.5194/acp-17-4451-2017
139. Nitrogen oxides and PAN in plumes from boreal fires during ARCTAS-B and their impact on ozone: an integrated analysis of aircraft and satellite observations M. Alvarado et al. 10.5194/acp-10-9739-2010
140. Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models J. RANDERSON et al. 10.1111/j.1365-2486.2009.01912.x
141. The impact of North American anthropogenic emissions and lightning on long-range transport of trace gases and their export from the continent during summers 2002 and 2004 M. Martini et al. 10.1029/2010JD014305
142. Analysis and Assessment of the Spatial and Temporal Distribution of Burned Areas in the Amazon Forest F. Cardozo et al. 10.3390/rs6098002
143. Climate controls on the variability of fires in the tropics and subtropics G. van der Werf et al. 10.1029/2007GB003122
144. Meteorological modes of variability for fine particulate matter (PM<sub>2.5</sub>) air quality in the United States: implications for PM<sub>2.5</sub> sensitivity to climate change A. Tai et al. 10.5194/acp-12-3131-2012
145. Biomass burning contribution to black carbon in the Western United States Mountain Ranges Y. Mao et al. 10.5194/acp-11-11253-2011
146. Forest edge burning in the Brazilian Amazon promoted by escaping fires from managed pastures A. Cano‐Crespo et al. 10.1002/2015JG002914
147. 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
148. Satellite versus ground-based estimates of burned area: A comparison between MODIS based burned area and fire agency reports over North America in 2007 S. Mangeon et al. 10.1177/2053019615588790
149. Remote Sensing of Environmental Drivers Influencing the Movement Ecology of Sympatric Wild and Domestic Ungulates in Semi-Arid Savannas, a Review F. Rumiano et al. 10.3390/rs12193218
150. Model‐data comparison of MCI field campaign atmospheric CO2 mole fractions L. Díaz Isaac et al. 10.1002/2014JD021593
151. Competition between plant functional types in the Canadian Terrestrial Ecosystem Model (CTEM) v. 2.0 J. Melton & V. Arora 10.5194/gmd-9-323-2016
152. Effects of landscape pattern and vegetation type on the fire regime of a mesic savanna in Mali P. Laris et al. 10.1016/j.jenvman.2018.08.091
153. Contribution of ocean, fossil fuel, land biosphere, and biomass burning carbon fluxes to seasonal and interannual variability in atmospheric CO2 C. Nevison et al. 10.1029/2007JG000408
154. Climate drivers of global wildfire burned area M. Grillakis et al. 10.1088/1748-9326/ac5fa1
155. Assessment of VIIRS 375m active fire detection product for direct burned area mapping P. Oliva & W. Schroeder 10.1016/j.rse.2015.01.010
156. Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America S. Feng et al. 10.1029/2019JD031165
157. 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
158. BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny Q. Safder et al. 10.1109/TGRS.2022.3166352
159. The empirical relationship between satellite-derived tropospheric NO<sub>2</sub> and fire radiative power and possible implications for fire emission rates of NO<sub>x</sub> S. Schreier et al. 10.5194/acp-14-2447-2014
160. Multi-year black carbon emissions from cropland burning in the Russian Federation J. McCarty et al. 10.1016/j.atmosenv.2012.08.053
161. Global atmospheric emission inventory of polycyclic aromatic hydrocarbons (PAHs) for 2004 Y. Zhang & S. Tao 10.1016/j.atmosenv.2008.10.050
162. Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania A. Hysa et al. 10.3390/rs13142737
163. Decadal trend and interannual variation of outflow of aerosols from East Asia: Roles of variations in meteorological parameters and emissions Y. Yang et al. 10.1016/j.atmosenv.2014.11.004
164. Hierarchical space-time models for fire ignition and percentage of land burned by wildfires M. Amaral-Turkman et al. 10.1007/s10651-010-0153-9
165. Characterization of pollutants emitted during burning of eight main tree species in subtropical China X. Yang et al. 10.1016/j.atmosenv.2019.116899
166. MODIS-Derived Fire Characteristics and Greenhouse Gas Emissions from Cropland Residue Burning in Central India T. Ray et al. 10.3390/su142416612
167. The short-term effectiveness of surfactant seed coating and mulching treatment in reducing post-fire runoff and erosion M. Hosseini et al. 10.1016/j.geoderma.2017.08.008
168. Pyrogenic HONO seen from space: insights from global IASI observations B. Franco et al. 10.5194/acp-24-4973-2024
169. Vegetation fire emissions and their impact on air pollution and climate B. Langmann et al. 10.1016/j.atmosenv.2008.09.047
170. 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
171. Nitrogen alters carbon dynamics during early succession in boreal forest S. Allison et al. 10.1016/j.soilbio.2010.03.026
172. Long-term trends and interannual variability of forest, savanna and agricultural fires in South America Y. Chen et al. 10.4155/cmt.13.61
173. Constraining black carbon aerosol over Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem L. Zhang et al. 10.5194/acp-15-10281-2015
174. Fire risk assessment, spatiotemporal clustering and hotspot analysis in the Luki biosphere reserve region, western DR Congo N. Cizungu et al. 10.1016/j.tfp.2021.100104
175. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. 10.1002/2016JD025592
176. Do biomass burning aerosols intensify drought in equatorial Asia during El Niño? M. Tosca et al. 10.5194/acp-10-3515-2010
177. Semi-automated mapping of burned areas in semi-arid ecosystems using MODIS time-series imagery L. Hardtke et al. 10.1016/j.jag.2014.11.011
178. Temporal comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from remotely sensed data Y. Shi & T. Matsunaga 10.1007/s11356-017-9141-z
179. Wildfire particulate matter in Europe during summer 2003: meso-scale modeling of smoke emissions, transport and radiative effects A. Hodzic et al. 10.5194/acp-7-4043-2007
180. Major advances in geostationary fire radiative power (FRP) retrieval over Asia and Australia stemming from use of Himarawi-8 AHI W. Xu et al. 10.1016/j.rse.2017.02.024
181. Carbon Emissions during Wildland Fire on a North American Temperate Peatland R. Mickler et al. 10.4996/fireecology.1301034
182. MODIS derived fire characteristics and aerosol optical depth variations during the agricultural residue burning season, north India K. Vadrevu et al. 10.1016/j.envpol.2011.03.001
183. Assessment of fire emission inventories during the South American Biomass Burning Analysis (SAMBBA) experiment G. Pereira et al. 10.5194/acp-16-6961-2016
184. Impact of Soil Reflectance Variation Correction on Woody Cover Estimation in Kruger National Park Using MODIS Data . Ibrahim et al. 10.3390/rs11080898
185. Evaluation of black carbon estimations in global aerosol models D. Koch et al. 10.5194/acp-9-9001-2009
186. How Well Does the ‘Small Fire Boost’ Methodology Used within the GFED4.1s Fire Emissions Database Represent the Timing, Location and Magnitude of Agricultural Burning? T. Zhang et al. 10.3390/rs10060823
187. Forest fire estimation and risk prediction using multispectral satellite images: Case study N. Talukdar et al. 10.1016/j.nhres.2024.01.007
188. Managing the human component of fire regimes: lessons from Africa S. Archibald 10.1098/rstb.2015.0346
189. Influence of Droughts on Mid-Tropospheric CO2 X. Jiang et al. 10.3390/rs9080852
190. 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
191. Reconciling the disagreement between observed and simulated temperature responses to deforestation L. Chen & P. Dirmeyer 10.1038/s41467-019-14017-0
192. Fires of differing intensities rapidly select distinct soil fungal communities in a Northwest US ponderosa pine forest ecosystem C. Reazin et al. 10.1016/j.foreco.2016.07.002
193. Interactions among bioenergy feedstock choices, landscape dynamics, and land use V. Dale et al. 10.1890/09-0501.1
194. Unusual late-fall wildfire in a pre-Alpine Fagus sylvatica forest reduced fine roots in the shallower soil layer and shifted very fine-root growth to deeper soil depth A. Montagnoli et al. 10.1038/s41598-023-33580-7
195. Effects of Siberian forest fires on air quality in East Asia during May 2003 and its climate implication J. Jeong et al. 10.1016/j.atmosenv.2008.08.037
196. Sensitivity of biomass burning emissions estimates to land surface information M. Saito et al. 10.5194/bg-19-2059-2022
197. Is global burned area declining due to cropland expansion? How much do we know based on remotely sensed data? M. Zubkova et al. 10.1080/01431161.2023.2174389
198. Analysis of CO in the tropical troposphere using Aura satellite data and the GEOS-Chem model: insights into transport characteristics of the GEOS meteorological products J. Logan et al. 10.5194/acp-10-12207-2010
199. What the past can say about the present and future of fire J. Marlon 10.1017/qua.2020.48
200. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
201. Tree Diversity Drives Forest Stand Resistance to Natural Disturbances H. Jactel et al. 10.1007/s40725-017-0064-1
202. A new transport mechanism of biomass burning from Indochina as identified by modeling studies C. Lin et al. 10.5194/acp-9-7901-2009
203. Forest fire risk mapping using GIS and remote sensing in two major landscapes of Nepal A. Parajuli et al. 10.1080/19475705.2020.1853251
204. The Impact of Uncertainties in African Biomass Burning Emission Estimates on Modeling Global Air Quality, Long Range Transport and Tropospheric Chemical Lifetimes J. Williams et al. 10.3390/atmos3010132
205. Characterization of Saharan dust, marine aerosols and mixtures of biomass-burning aerosols and dust by means of multi-wavelength depolarization and Raman lidar measurements during SAMUM 2 S. Groß et al. 10.1111/j.1600-0889.2011.00556.x
206. Preliminary analysis of the development of the Carbon Tracker system in Latin America and the Caribbean Y. Woon Jang et al. 10.1016/S0187-6236(14)71101-4
207. Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region M. García et al. 10.2478/s13533-012-0167-y
208. Agricultural intensification increases deforestation fire activity in Amazonia D. MORTON et al. 10.1111/j.1365-2486.2008.01652.x
209. Tropical biomass burning smoke plume size, shape, reflectance, and age based on 2001–2009 MISR imagery of Borneo C. Zender et al. 10.5194/acp-12-3437-2012
210. Mapping Forest Fire Risk—A Case Study in Galicia (Spain) A. Novo et al. 10.3390/rs12223705
211. Research Progress on the Effects of Logging and Burning on Forest Soil Microorganisms 宏. 高 10.12677/IJE.2021.104053
212. Automated classification of heat sources detected using SWIR remote sensing S. Kato et al. 10.1016/j.jag.2021.102491
213. Pattern validation for MODIS image mining of burned area objects C. Quintano et al. 10.1080/01431160903154358
214. Spatial and Temporal Distribution of Biomass Open Burning Emissions in the Greater Mekong Subregion A. Junpen et al. 10.3390/cli8080090
215. Atmospheric deposition—Another source of nutrients enhancing primary productivity in the eastern tropical Indian Ocean during positive Indian Ocean Dipole phases E. Siswanto 10.1002/2015GL064188
216. Changes in Soil Fungal Communities, Extracellular Enzyme Activities, and Litter Decomposition Across a Fire Chronosequence in Alaskan Boreal Forests S. Holden et al. 10.1007/s10021-012-9594-3
217. Strong winds drive grassland fires in China Z. Wang et al. 10.1088/1748-9326/aca921
218. Emission factors for open and domestic biomass burning for use in atmospheric models S. Akagi et al. 10.5194/acp-11-4039-2011
219. Wildland fire emissions, carbon, and climate: Wildland fire detection and burned area in the United States W. Hao & N. Larkin 10.1016/j.foreco.2013.09.029
220. Burning issues: statistical analyses of global fire data to inform assessments of environmental change M. Krawchuk & M. Moritz 10.1002/env.2287
221. Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012 G. Chen et al. 10.1002/2016GB005548
222. Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence S. Hantson et al. 10.1016/j.rse.2012.12.004
223. The occurrence and levels of polycyclic aromatic hydrocarbons (PAHs) in African environments—a systematic review S. Ofori et al. 10.1007/s11356-020-09428-2
224. Mapping the research history, collaborations and trends of remote sensing in fire ecology M. de Santana et al. 10.1007/s11192-020-03805-x
225. Modeling Litter Stocks in Planted Forests of Northern Mexico F. Rodríguez-Flores et al. 10.3390/f13071049
226. 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
227. Effects of biomass burning on climate, accounting for heat and moisture fluxes, black and brown carbon, and cloud absorption effects M. Jacobson 10.1002/2014JD021861
228. Fuel-Specific Aggregation of Active Fire Detections for Rapid Mapping of Forest Fire Perimeters in Mexico C. Briones-Herrera et al. 10.3390/f13010124
229. Seasonal and interannual variations in CO and BC emissions from open biomass burning in Southern Africa during 1998–2005 A. Ito et al. 10.1029/2006GB002848
230. Multi-year MODIS active fire type classification over the Brazilian Tropical Moist Forest Biome D. Roy & S. Kumar 10.1080/17538947.2016.1208686
231. Sensitivity of the air–sea CO<sub>2</sub> exchange in the Baltic Sea and Danish inner waters to atmospheric short-term variability A. Lansø et al. 10.5194/bg-12-2753-2015
232. Disturbance and the carbon balance of US forests: A quantitative review of impacts from harvests, fires, insects, and droughts C. Williams et al. 10.1016/j.gloplacha.2016.06.002
233. Fire regimes of China: inference from statistical comparison with the United States M. Krawchuk & M. Moritz 10.1111/j.1466-8238.2009.00472.x
234. The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire product D. Roy et al. 10.1016/j.rse.2008.05.013
235. Variability and recent trends in the African terrestrial carbon balance P. Ciais et al. 10.5194/bg-6-1935-2009
236. Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model Y. Mao et al. 10.5194/acp-15-7685-2015
237. Optimization of Multi-Ecosystem Model Ensembles to Simulate Vegetation Growth at the Global Scale L. Tang et al. 10.1109/TGRS.2020.2993641
238. Satellite-based automated burned area detection: A performance assessment of the MODIS MCD45A1 in the Brazilian savanna F. Araújo & L. Ferreira 10.1016/j.jag.2014.10.009
239. Emissions from biomass burning in the Yucatan R. Yokelson et al. 10.5194/acp-9-5785-2009
240. CO2 annual and semiannual cycles from multiple satellite retrievals and models X. Jiang et al. 10.1002/2014EA000045
241. Serotiny in the South African shrub Protea repens is associated with gradients of precipitation, temperature, and fire intensity R. de Gouvenain et al. 10.1007/s11258-018-00905-w
242. Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado F. Santos et al. 10.1080/01431161.2020.1771791
243. Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data R. Dutta et al. 10.1038/srep03188
244. 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
245. A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data J. Lizundia-Loiola et al. 10.1016/j.rse.2019.111493
246. Evaluation of satellite-derived burned area products for the fynbos, a Mediterranean shrubland H. de Klerk et al. 10.1071/WF11002
247. 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
248. Estimated Global Mortality Attributable to Smoke from Landscape Fires F. Johnston et al. 10.1289/ehp.1104422
249. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. 10.1016/j.atmosres.2012.03.007
250. Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010 L. Mei et al. 10.5194/bg-8-3771-2011
251. Late Quaternary variations in tree cover at the northern forest-tundra ecotone J. Williams et al. 10.1029/2010JG001458
252. WRF-Chem model estimates of equatorial Atlantic Ocean tropospheric ozone increases via June 2006 African biomass burning ozone precursor transport J. Smith et al. 10.1007/s10874-014-9293-x
253. Comparison of L3JRC and MODIS global burned area products from 2000 to 2007 D. Chang & Y. Song 10.1029/2008JD011361
254. Mapping burn severity and burning efficiency in California using simulation models and Landsat imagery A. De Santis et al. 10.1016/j.rse.2010.02.008
255. The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
256. CarbonTracker-CH<sub>4</sub>: an assimilation system for estimating emissions of atmospheric methane L. Bruhwiler et al. 10.5194/acp-14-8269-2014
257. A stratified random sampling design in space and time for regional to global scale burned area product validation L. Boschetti et al. 10.1016/j.rse.2016.09.016
258. Fire carbon emissions over Equatorial Asia reduced by shortened dry seasons S. Wang et al. 10.1038/s41612-023-00455-7
259. Remote‐sensing constraints on South America fire traits by Bayesian fusion of atmospheric and surface data A. Bloom et al. 10.1002/2014GL062584
260. Trans-Pacific transport and evolution of aerosols: spatiotemporal characteristics and source contributions Z. Hu et al. 10.5194/acp-19-12709-2019
261. 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
262. 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
263. An attribution of the low single-scattering albedo of biomass burning aerosol over the southeastern Atlantic A. Dobracki et al. 10.5194/acp-23-4775-2023
264. Global characterization of biomass-burning patterns using satellite measurements of fire radiative energy C. Ichoku et al. 10.1016/j.rse.2008.02.009
265. Global forest area disturbance from fire, insect pests, diseases and severe weather events P. van Lierop et al. 10.1016/j.foreco.2015.06.010
266. A Revised Historical Fire Regime Analysis in Tunisia (1985–2010) from a Critical Analysis of the National Fire Database and Remote Sensing C. Belhadj-Khedher et al. 10.3390/f9020059
267. Emissions Released by Forest Fuel in the Daxing’an Mountains, China H. Zhang et al. 10.3390/f13081220
268. How much global burned area can be forecast on seasonal time scales using sea surface temperatures? Y. Chen et al. 10.1088/1748-9326/11/4/045001
269. Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions X. Lu et al. 10.3390/rs13020196
270. The European carbon balance. Part 3: forests S. LUYSSAERT et al. 10.1111/j.1365-2486.2009.02056.x
271. Wildfires in Russia in 2000–2008: estimates of burnt areas using the satellite MODIS MCD45 data A. Vivchar 10.1080/01431161.2010.499138
272. Down to Earth: Contextualizing the Anthropocene F. Biermann et al. 10.1016/j.gloenvcha.2015.11.004
273. Geographic and seasonal distributions of CO transport pathways and their roles in determining CO centers in the upper troposphere L. Huang et al. 10.5194/acp-12-4683-2012
274. New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America W. Xu et al. 10.1016/j.rse.2010.03.012
275. An active-fire based burned area mapping algorithm for the MODIS sensor L. Giglio et al. 10.1016/j.rse.2008.10.006
276. Disentangling the contribution of multiple land covers to fire‐mediated carbon emissions in Amazonia during the 2010 drought L. Anderson et al. 10.1002/2014GB005008
277. Environmental controls on the distribution of wildfire at multiple spatial scales M. Parisien & M. Moritz 10.1890/07-1289.1
278. Global burned area mapping from ENVISAT-MERIS and MODIS active fire data I. Alonso-Canas & E. Chuvieco 10.1016/j.rse.2015.03.011
279. Upscaling terrestrial carbon dioxide fluxes in Alaska with satellite remote sensing and support vector regression M. Ueyama et al. 10.1002/jgrg.20095
280. The Disaster Risk, Global Change, and Sustainability Nexus P. Peduzzi 10.3390/su11040957
281. Separating agricultural and non-agricultural fire seasonality at regional scales B. Magi et al. 10.5194/bg-9-3003-2012
282. Forest fragmentation and edge influence on fire occurrence and intensity under different management types in Amazon forests D. Armenteras et al. 10.1016/j.biocon.2012.10.026
283. A burned area mapping method for the FY-3D MERSI based on the single-temporal L1 data and multi-temporal daily active fire products T. Shan et al. 10.1080/01431161.2020.1826064
284. Resistance of microbial and soil properties to warming treatment seven years after boreal fire S. Allison et al. 10.1016/j.soilbio.2010.07.011
285. Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product X. Zhang & S. Kondragunta 10.1016/j.rse.2008.02.006
286. Influence of future anthropogenic emissions on climate, natural emissions, and air quality M. Jacobson & D. Streets 10.1029/2008JD011476
287. Conservation Threats Due to Human‐Caused Increases in Fire Frequency in Mediterranean‐Climate Ecosystems A. SYPHARD et al. 10.1111/j.1523-1739.2009.01223.x
288. A tropospheric ozone maximum over the equatorial Southern Indian Ocean L. Zhang et al. 10.5194/acp-12-4279-2012
289. Evaluation of tropical and extratropical Southern Hemisphere African aerosol properties simulated by a climate model B. Magi et al. 10.1029/2008JD011128
290. Trends in the sources and sinks of carbon dioxide C. Le Quéré et al. 10.1038/ngeo689
291. 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
292. 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
293. New perspectives on African biomass burning dynamics G. Roberts & M. Wooster 10.1029/2007EO380001
294. Emission factors of some common grass species in West Africa K. Abdulraheem et al. 10.1007/s10661-020-08725-0
295. Algorithms for Detecting Sub‐Pixel Elevated Temperature Features for the NASA Surface Biology and Geology (SBG) Designated Observable A. Shreevastava et al. 10.1029/2022JG007370
296. Terrestrial Vegetation in the Coupled Human-Earth System: Contributions of Remote Sensing R. DeFries 10.1146/annurev.environ.33.020107.113339
297. Global emissions of non-methane hydrocarbons deduced from SCIAMACHY formaldehyde columns through 2003–2006 T. Stavrakou et al. 10.5194/acp-9-3663-2009
298. Experimentally determined traits shape bacterial community composition one and five years following wildfire D. Johnson et al. 10.1038/s41559-023-02135-4
299. Assessing boreal forest fire smoke aerosol impacts on U.S. air quality: A case study using multiple data sets D. Miller et al. 10.1029/2011JD016170
300. Spatial and Temporal Trends of Burnt Area in Angola: Implications for Natural Vegetation and Protected Area Management S. Catarino et al. 10.3390/d12080307
301. Evaluation of spatially explicit emission scenario of land-use change and biomass burning using a process-based biogeochemical model E. Kato et al. 10.1080/1747423X.2011.628705
302. Spatial scale invariance of southern Australian forest fires mirrors the scaling behaviour of fire-driving weather events M. Boer et al. 10.1007/s10980-008-9260-5
303. Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010 A. van Donkelaar et al. 10.1016/j.atmosenv.2011.07.068
304. Assessment of the Forest Fire Risk and Its Indicating Significances in Zhaoqing City Based on Landsat Time-Series Images X. Zhou et al. 10.3390/f14020327
305. Big data integration shows Australian bush-fire frequency is increasing significantly R. Dutta et al. 10.1098/rsos.150241
306. Spring fires in Russia: results from participatory burned area mapping with Sentinel-2 imagery I. Glushkov et al. 10.1088/1748-9326/ac3287
307. Satellite evidence of substantial rain-induced soil emissions of ammonia across the Sahel J. Hickman et al. 10.5194/acp-18-16713-2018
308. CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations W. He et al. 10.5194/gmd-11-3515-2018
309. Detection, Emission Estimation and Risk Prediction of Forest Fires in China Using Satellite Sensors and Simulation Models in the Past Three Decades—An Overview J. Zhang et al. 10.3390/ijerph8083156
310. Mapping spatial and temporal patterns of Mediterranean wildfires from MODIS N. Levin & A. Heimowitz 10.1016/j.rse.2012.08.003
311. Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments F. Mouillot et al. 10.1016/j.jag.2013.05.014
312. The sensitivity of global climate to the episodicity of fire aerosol emissions S. Clark et al. 10.1002/2015JD024068
313. A quantitative link between CO2 emissions from tropical vegetation fires and the daily tropospheric excess (DTE) of CO2 seen by NOAA‐10 (1987–1991) A. Chédin et al. 10.1029/2007JD008576
314. Trend estimates of AERONET-observed and model-simulated AOTs between 1993 and 2013 J. Yoon et al. 10.1016/j.atmosenv.2015.10.058
315. Contrasting trends of mass and optical properties of aerosols over the Northern Hemisphere from 1992 to 2011 K. Wang et al. 10.5194/acp-12-9387-2012
316. Modeling the transport and optical properties of smoke plumes from South American biomass burning R. Matichuk et al. 10.1029/2007JD009005
317. Fire risk assessment in the Brazilian Amazon using MODIS imagery and change vector analysis E. Maeda et al. 10.1016/j.apgeog.2010.02.004
318. Fire Detection and Fire Characterization Over Africa Using Meteosat SEVIRI G. Roberts & M. Wooster 10.1109/TGRS.2008.915751
319. Comparison of burnt area estimates derived from satellite products and national statistics in Europe L. Loepfe et al. 10.1080/01431161.2011.631950
320. Does the POA–SOA split matter for global CCN formation? W. Trivitayanurak & P. Adams 10.5194/acp-14-995-2014
321. 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
322. Avoidable damage assessment of forest fires in European countries: an efficient frontier approach E. Gutiérrez & S. Lozano 10.1007/s10342-012-0650-5
323. Evaluating MODIS active fire products in subtropical Yucatán forest D. Cheng et al. 10.1080/2150704X.2012.749360
324. Mega fire emissions in Siberia: potential supply of bioavailable iron from forests to the ocean A. Ito 10.5194/bg-8-1679-2011
325. Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
326. A Climatological Satellite Assessment of Absorbing Carbonaceous Aerosols on a Global Scale . Hatzianastassiou et al. 10.3390/atmos10110671
327. A review of particulate pollution over Himalaya region: Characteristics and salient factors contributing ambient PM pollution M. Hassan et al. 10.1016/j.atmosenv.2022.119472
328. Comparison of global inventories of CO emissions from biomass burning derived from remotely sensed data D. Stroppiana et al. 10.5194/acp-10-12173-2010
329. Direct top‐down estimates of biomass burning CO emissions using TES and MOPITT versus bottom‐up GFED inventory O. Pechony et al. 10.1002/jgrd.50624
330. Applicability of MODIS land cover and Enhanced Vegetation Index (EVI) for the assessment of spatial and temporal changes in strength of vegetation in tropical rainforest region of Borneo H. Vijith & D. Dodge-Wan 10.1016/j.rsase.2020.100311
331. MODIS Reflectance and Active Fire Data for Burn Mapping in Colombia S. Merino-de-Miguel et al. 10.1175/2010EI344.1
332. Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region S. Fadnavis et al. 10.5194/angeo-34-279-2016
333. PREP-CHEM-SRC – 1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models S. Freitas et al. 10.5194/gmd-4-419-2011
334. Impacts of fire emissions and transport pathways on the interannual variation of CO in the tropical upper troposphere L. Huang et al. 10.5194/acp-14-4087-2014
335. 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
336. Measurements necessary for assessing the net ecosystem carbon budget of croplands P. Smith et al. 10.1016/j.agee.2010.04.004
337. Intercomparison of AVHRR PAL and LTDR Version 2 Long-Term Data Sets for Africa From 1982 to 2000 and Its Impact on Mapping Burned Area J. Moreno-Ruiz et al. 10.1109/LGRS.2009.2024436
338. Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series J. García-Lázaro et al. 10.3390/rs10060940
339. Improving estimates of savanna burning emissions for greenhouse accounting in northern Australia: limitations, challenges, applications J. Russell-Smith et al. 10.1071/WF08009
340. Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data T. Loboda et al. 10.1016/j.rse.2007.01.017
341. Global Warming Reshapes European Pyroregions L. Galizia et al. 10.1029/2022EF003182
342. Effect of land-cover change on Africa's burnt area J. Grégoire et al. 10.1071/WF11142
343. Interannual variability in global biomass burning emissions from 1997 to 2004 G. van der Werf et al. 10.5194/acp-6-3423-2006
344. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging M. Val Martin et al. 10.3390/rs10101609
345. Evaluating Satellite Fire Detection Products and an Ensemble Approach for Estimating Burned Area in the United States A. Marsha & N. Larkin 10.3390/fire5050147
346. Spatiotemporal fire occurrence in Borneo over a period of 10 years A. LANGNER & F. SIEGERT 10.1111/j.1365-2486.2008.01828.x
347. Role of disturbed vegetation in mapping the boreal zone in northern Eurasia A. Hofgaard et al. 10.1111/j.1654-109X.2010.01086.x
348. Annual and diurnal african biomass burning temporal dynamics G. Roberts et al. 10.5194/bg-6-849-2009
349. SCIAMACHY CO over land and oceans: 2003–2007 interannual variability A. Gloudemans et al. 10.5194/acp-9-3799-2009
350. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. 10.5194/acp-20-969-2020
351. Dynamics of active fire data and their relationship with fires in the areas of regularized indigenous lands in the Southern Amazon A. Santos et al. 10.1016/j.rsase.2021.100570
352. Optical and Microphysical Properties of the Aerosols during a Rare Event of Biomass-Burning Mixed with Polluted Dust M. Gidarakou et al. 10.3390/atmos15020190
353. Long-term in situ observations of biomass burning aerosol at a high altitude station in Venezuela – sources, impacts and interannual variability T. Hamburger et al. 10.5194/acp-13-9837-2013
354. Top-down estimates of biomass burning emissions of black carbon in the Western United States Y. Mao et al. 10.5194/acp-14-7195-2014
355. A satellite‐based assessment of transpacific transport of pollution aerosol H. Yu et al. 10.1029/2007JD009349
356. The impact of anthropogenic emissions on atmospheric sulfate production pathways, oxidants, and ice core Δ<sup>17</sup>O(SO<sub>4</sub><sup>2–</sup>) E. Sofen et al. 10.5194/acp-11-3565-2011
357. Simulating smoke transport from wildland fires with a regional-scale air quality model: Sensitivity to spatiotemporal allocation of fire emissions F. Garcia-Menendez et al. 10.1016/j.scitotenv.2014.05.108
358. Validation of active forest fires detected by MSG‐SEVIRI by means of MODIS hot spots and AWiFS images A. Calle et al. 10.1080/01431160701596164
359. The validity and utility of MODIS data for simple estimation of area burned and aerosols emitted by wildfire events S. Henderson et al. 10.1071/WF09027
360. The role of the southern African easterly jet in modifying the southeast Atlantic aerosol and cloud environments A. Adebiyi & P. Zuidema 10.1002/qj.2765
361. Constraints on global fire activity vary across a resource gradient M. Krawchuk & M. Moritz 10.1890/09-1843.1
362. A Review of the Applications of Remote Sensing in Fire Ecology D. Szpakowski & J. Jensen 10.3390/rs11222638
363. Natural Gas Fugitive Emissions Rates Constrained by Global Atmospheric Methane and Ethane S. Schwietzke et al. 10.1021/es501204c
364. Vegetation Fires in the Lubumbashi Charcoal Production Basin (The Democratic Republic of the Congo): Drivers, Extent and Spatiotemporal Dynamics Y. Useni Sikuzani et al. 10.3390/land12122171
365. Spatial and temporal intercomparison of four global burned area products M. Humber et al. 10.1080/17538947.2018.1433727
366. Assessing the performance of MODIS and VIIRS active fire products in the monitoring of wildfires: a case study in Turkey K. Coskuner 10.3832/ifor3754-015
367. Modelling of long-range transport of Southeast Asia biomass-burning aerosols to Taiwan and their radiative forcings over East Asia C. Lin et al. 10.3402/tellusb.v66.23733
368. Assessing variability and long-term trends in burned area by merging multiple satellite fire products L. Giglio et al. 10.5194/bg-7-1171-2010
369. ENSO‐Driven Fires Cause Large Interannual Variability in the Naturally Emitted, Ozone‐Depleting Trace Gas CH3Br M. Nicewonger et al. 10.1029/2021GL094756
370. Modelling burned area in Africa V. Lehsten et al. 10.5194/bg-7-3199-2010
371. Regional fire monitoring and characterization using global NASA MODIS fire products in dry lands of Central Asia T. Loboda et al. 10.1007/s11707-012-0313-3
372. Changes in very fine root respiration and morphology with time since last fire in a boreal forest N. Makita et al. 10.1007/s11104-016-2801-9
373. Where are the ‘bad fires’ in West African savannas? Rethinking burning management through a space–time analysis in Burkina Faso S. Caillault et al. 10.1111/geoj.12074
374. Tracking the emission and transport of pollution from wildfires using the IASI CO retrievals: analysis of the summer 2007 Greek fires S. Turquety et al. 10.5194/acp-9-4897-2009
375. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
376. Uncertainty-Aware Visualization for Analyzing Heterogeneous Wildfire Detections A. Preston et al. 10.1109/MCG.2019.2918158
377. The early/late fire dichotomy P. Laris et al. 10.1177/0309133316665570
378. Environmental and political implications of underestimated cropland burning in Ukraine J. Hall et al. 10.1088/1748-9326/abfc04
379. Characterizing Vegetation Fire dynamics in Myanmar and South Asian Countries C. Reddy et al. 10.1007/s12524-020-01205-5
380. Estimation of Biomass Burned Areas Using Multiple-Satellite-Observed Active Fires X. Zhang et al. 10.1109/TGRS.2011.2149535
381. Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors L. Giglio et al. 10.1029/2005JG000142
382. Measurement of inter- and intra-annual variability of landscape fire activity at a continental scale: the Australian case G. Williamson et al. 10.1088/1748-9326/11/3/035003
383. Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world’s largest sanctuary for Jaguars L. Parra et al. 10.1007/s12145-023-01080-x
384. Prototyping an artificial neural network for burned area mapping on a regional scale in Mediterranean areas using MODIS images I. Gómez & M. Martín 10.1016/j.jag.2011.05.002
385. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
386. Regionalizing global climate models A. Pitman et al. 10.1002/joc.2279
387. Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework V. Mithal et al. 10.3390/rs10010069
388. Global fire activity patterns (1996–2006) and climatic influence: an analysis using the World Fire Atlas Y. Le Page et al. 10.5194/acp-8-1911-2008
389. Spaceborne Measurements of Formic and Acetic Acids: A Global View of the Regional Sources B. Franco et al. 10.1029/2019GL086239
390. How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America T. Carter et al. 10.5194/acp-20-2073-2020
391. A multiyear analysis of aerosol optical thickness over Europe and Central Poland using NAAPS model simulation A. Maciszewska et al. 10.2478/s11600-010-0034-5
392. Savanna fire regimes assessment with MODIS fire data: Their relationship to land cover and plant species distribution in western Burkina Faso (West Africa) J. Devineau et al. 10.1016/j.jaridenv.2010.03.009
393. Wildland fire emissions, carbon, and climate: Science overview and knowledge needs W. Sommers et al. 10.1016/j.foreco.2013.12.014
394. Modelling Weather and Climate Related Fire Risk in Africa F. Justino et al. 10.4236/ajcc.2013.24022
395. Fire and grazing modify grass community response to environmental determinants in savannas: Implications for sustainable use R. Nayak et al. 10.1016/j.agee.2014.01.002
396. A MODIS time series data based algorithm for mapping forest fire burned area W. Yang et al. 10.1007/s11769-013-0597-6
397. Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires A. Pereira et al. 10.3390/rs9111161
398. Modelling the drivers of natural fire activity: the bias created by cropland fires İ. Bekar & Ç. Tavşanoğlu 10.1071/WF16183
399. Challenges of wildland fire management in Botswana: Towards a community inclusive fire management approach O. Dube 10.1016/j.wace.2013.08.001
400. Detection of burned areas from mega-fires using daily and historical MODIS surface reflectance R. Zhang et al. 10.1080/01431161.2015.1007256
401. Burned area mapping with MERIS post-fire image P. Oliva et al. 10.1080/01431161.2010.489062
402. About Validation-Comparison of Burned Area Products G. Valencia et al. 10.3390/rs12233972