67 citations as recorded by crossref.

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14. Harvesting the Biosphere: The Human Impact V. Smil 10.1111/j.1728-4457.2011.00450.x
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18. Exploring the utility of Sentinel-2 MSI and Landsat 8 OLI in burned area mapping for a heterogenous savannah landscape F. Ngadze et al. 10.1371/journal.pone.0232962
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25. Global Wildfire Outlook Forecast with Neural Networks Y. Song & Y. Wang 10.3390/rs12142246
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29. Emission factors of some common grass species in West Africa K. Abdulraheem et al. 10.1007/s10661-020-08725-0
30. Wildfires in the Arctic and tropical biomes: what is the relative role of climate? J. Engström et al. 10.1007/s11069-022-05452-2
31. The legacy of colonial fire management policies on traditional livelihoods and ecological sustainability in savannas: Impacts, consequences, new directions L. Moura et al. 10.1016/j.jenvman.2018.11.057
32. Accounting for fuel in fire danger forecasts: the fire occurrence probability index (FOPI) F. Di Giuseppe 10.1088/1748-9326/acd2ee
33. Climatic and non-climatic vegetation cover changes in the rangelands of Africa F. D'Adamo et al. 10.1016/j.gloplacha.2021.103516
34. 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
35. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. 10.5194/gmd-10-1175-2017
36. Trends and seasonal variability of atmospheric NO2 and HNO3 concentrations across three major African biomes inferred from long-term series of ground-based and satellite measurements M. Ossohou et al. 10.1016/j.atmosenv.2019.03.027
37. Opportunities for an African greenhouse gas observation system L. Merbold et al. 10.1007/s10113-021-01823-w
38. 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
39. A human-driven decline in global burned area N. Andela et al. 10.1126/science.aal4108
40. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
41. Integration of geostationary FRP and polar-orbiter burned area datasets for an enhanced biomass burning inventory G. Roberts et al. 10.1016/j.rse.2011.04.006
42. African heritage in a changing climate N. Brooks et al. 10.1080/0067270X.2020.1792177
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44. A full greenhouse gases budget of Africa: synthesis, uncertainties, and vulnerabilities R. Valentini et al. 10.5194/bg-11-381-2014
45. Fire regimes at the arid fringe: A 16-year remote sensing perspective (2000–2016) on the controls of fire activity in Namibia from spatial predictive models M. Mayr et al. 10.1016/j.ecolind.2018.04.022
46. Comparison of L3JRC and MODIS global burned area products from 2000 to 2007 D. Chang & Y. Song 10.1029/2008JD011361
47. Forests, savannas, and grasslands: bridging the knowledge gap between ecology and Dynamic Global Vegetation Models M. Baudena et al. 10.5194/bg-12-1833-2015
48. 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
49. Criteria-Based Identification of Important Fuels for Wildland Fire Emission Research A. Watts et al. 10.3390/atmos11060640
50. Global wildfire activity re-visited O. Dube 10.1016/j.gloenvcha.2024.102894
51. Greenhouse gas emissions and carbon sink potential in Eastern Africa rangeland ecosystems: A review M. Mgalula et al. 10.1186/s13570-021-00201-9
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53. Including vegetation dynamics in an atmospheric chemistry-enabled general circulation model: linking LPJ-GUESS (v4.0) with the EMAC modelling system (v2.53) M. Forrest et al. 10.5194/gmd-13-1285-2020
54. Vegetation biomass change in China in the 20th century: an assessment based on a combination of multi-model simulations and field observations X. Song et al. 10.1088/1748-9326/ab94e8
55. Estimation of actual carbon dioxide removal in burned forests using satellite data: A case study in South Korea H. Lee & G. Kim 10.1007/s11629-022-7697-7
56. 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
57. AOD distributions and trends of major aerosol species over a selection of the world's most populated cities based on the 1st version of NASA's MERRA Aerosol Reanalysis S. Provençal et al. 10.1016/j.uclim.2017.04.001
58. Quantifying the role of fire in the Earth system – Part 1: Improved global fire modeling in the Community Earth System Model (CESM1) F. Li et al. 10.5194/bg-10-2293-2013
59. Estimating Grazing Potentials in Sudan Using Daily Carbon Allocation in Dynamic Vegetation Model N. Boke-Olén et al. 10.1016/j.rama.2018.06.006
60. The status and challenge of global fire modelling S. Hantson et al. 10.5194/bg-13-3359-2016
61. Implications of accounting for land use in simulations of ecosystem carbon cycling in Africa M. Lindeskog et al. 10.5194/esd-4-385-2013
62. Vegetation-derived pyrogenic carbon degradation and stabilisation in UK peatlands† O. Kennedy-Blundell et al. 10.1071/WF22166
63. Comparison of burnt area estimates derived from satellite products and national statistics in Europe L. Loepfe et al. 10.1080/01431161.2011.631950
64. Annual and diurnal african biomass burning temporal dynamics G. Roberts et al. 10.5194/bg-6-849-2009
65. Assessing Carbon Emissions from Biomass Burning in Croplands in Burkina Faso, West Africa P. Bougma et al. 10.3390/fire6100402
66. 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
67. A dynamical pathway bridging African biomass burning and Asian summer monsoon D. Cao et al. 10.1007/s00382-021-05788-8