44 citations as recorded by crossref.

1. Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites C. Engel et al. 10.3390/rs13091627
2. 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
3. The Drought Regime in Southern Africa: A Systematic Review F. Chivangulula et al. 10.3390/cli11070147
4. Influence of Satellite Sensor Pixel Size and Overpass Time on Undercounting of Cerrado/Savannah Landscape-Scale Fire Radiative Power (FRP): An Assessment Using the MODIS Airborne Simulator S. Sperling et al. 10.3390/fire3020011
5. Sentinel-3 SLSTR active fire (AF) detection and FRP daytime product - Algorithm description and global intercomparison to MODIS, VIIRS and landsat AF data W. Xu & M. Wooster 10.1016/j.srs.2023.100087
6. Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa G. Roberts et al. 10.3390/rs10101591
7. New Tropical Peatland Gas and Particulate Emissions Factors Indicate 2015 Indonesian Fires Released Far More Particulate Matter (but Less Methane) than Current Inventories Imply M. Wooster et al. 10.3390/rs10040495
8. Geostationary active fire products validation: GOES-17 ABI, GOES-16 ABI, and Himawari AHI J. Hall et al. 10.1080/01431161.2023.2217983
9. An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. 10.3390/rs11243044
10. Reconciling the total carbon budget for boreal forest wildfire emissions using airborne observations K. Hayden et al. 10.5194/acp-22-12493-2022
11. 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
12. Investigating the impact of overlying vegetation canopy structures on fire radiative power (FRP) retrieval through simulation and measurement G. Roberts et al. 10.1016/j.rse.2018.08.015
13. 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
14. EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds H. Brenot et al. 10.5194/nhess-21-3367-2021
15. LSA SAF Meteosat FRP products – Part 1: Algorithms, product contents, and analysis M. Wooster et al. 10.5194/acp-15-13217-2015
16. Which dual-band infrared indices are optimum for identifying aerosol compositional change using Himawari-8 data? M. Sowden & D. Blake 10.1016/j.atmosenv.2020.117620
17. Analysis of tropospheric ozone concentration and their predictors in mainland Portugal C. Alonso et al. 10.1016/j.atmosres.2024.107766
18. Spatial-Temporal Variability of Land Surface Dry Anomalies in Climatic Aspect: Biogeophysical Insight by Meteosat Observations and SVAT Modeling J. Stoyanova et al. 10.3390/atmos10100636
19. RST-FIRES, an exportable algorithm for early-fire detection and monitoring: description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. 10.1016/j.rse.2016.08.008
20. Trends in eastern China agricultural fire emissions derived from a combination of geostationary (Himawari) and polar (VIIRS) orbiter fire radiative power products T. Zhang et al. 10.5194/acp-20-10687-2020
21. Meteorological Analysis of the 2021 Extreme Wildfires in Greece: Lessons Learned and Implications for Early Warning of the Potential for Pyroconvection T. Giannaros et al. 10.3390/atmos13030475
22. Observational Analyses of Dry Intrusions and Increased Ozone Concentrations in the Environment of Wildfires C. Georgiev et al. 10.3390/atmos13040597
23. A weighted contextual active fire detection algorithm based on Himawari-8 data H. Zhang et al. 10.1080/01431161.2023.2198652
24. 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
25. Review of approaches and challenges for the validation of satellite-based active fire products in savannah ecosystems S. Ramsey et al. 10.1071/WF23202
26. 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
27. 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
28. 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
29. Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
30. 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
31. 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
32. Spatiotemporal Analysis of Open Biomass Burning in Guangxi Province, China, from 2012 to 2023 Based on VIIRS X. He et al. 10.3390/fire7100370
33. RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. 10.1016/j.rse.2017.01.019
34. 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
35. Fire Characterization by Using an Original RST-Based Approach for Fire Radiative Power (FRP) Computation C. Filizzola et al. 10.3390/fire6020048
36. 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
37. Improvements in high-temporal resolution active fire detection and FRP retrieval over the Americas using GOES-16 ABI with the geostationary Fire Thermal Anomaly (FTA) algorithm W. Xu et al. 10.1016/j.srs.2021.100016
38. Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
39. Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations F. Li et al. 10.1029/2017JD027823
40. 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
41. Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008 G. Baldassarre et al. 10.5194/acp-15-8539-2015
42. Assessment of global and regional PM10 CAMSRA data: comparison to observed data in Morocco I. Sekmoudi et al. 10.1007/s11356-021-12783-3
43. Spatial analysis of aerosol optical depth obtained by air quality modelling and SEVIRI satellite observations over Portugal A. Fernandes et al. 10.1016/j.apr.2018.07.011
44. New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations N. Andela et al. 10.5194/acp-15-8831-2015