64 citations as recorded by crossref.

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6. Imaging tropical peatlands in Indonesia using ground-penetrating radar (GPR) and electrical resistivity imaging (ERI): implications for carbon stock estimates and peat soil characterization X. Comas et al. 10.5194/bg-12-2995-2015
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10. “The Reality from the Myth”: The poor as main agents of forest degradation: Lessons from Ashanti Region, Ghana P. Peprah et al. 10.1515/environ-2017-0011
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12. Historic emissions from deforestation and forest degradation in Mato Grosso, Brazil: 1) source data uncertainties D. Morton et al. 10.1186/1750-0680-6-18
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14. Macrosystems as metacoupled human and natural systems F. Tromboni et al. 10.1002/fee.2289
15. An Overview of Anthropogenic Actions as Drivers for Emerging and Re-Emerging Zoonotic Diseases S. Tazerji et al. 10.3390/pathogens11111376
16. Managing fire risk during drought: the influence of certification and El Niño on fire-driven forest conversion for oil palm in Southeast Asia P. Noojipady et al. 10.5194/esd-8-749-2017
17. Importância da biodiversidade para a saúde humana: uma perspectiva ecológica C. Alho 10.1590/S0103-40142012000100011
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19. Response to Comment on “The Incidence of Fire in Amazonian Forests with Implications for REDD” L. Aragão & Y. Shimabukuro 10.1126/science.1195063
20. The fate of Amazonian ecosystems over the coming century arising from changes in climate, atmospheric CO2, and land use K. Zhang et al. 10.1111/gcb.12903
21. A Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century H. Herrero et al. 10.3390/rs12030476
22. Mapping of the spatial distribution of carbon storage of thePinus kesiyaRoyle ex Gordon (Benguet pine) forest in Sagada, Mt. Province, Philippines N. Doyog et al. 10.1080/10549811.2018.1450155
23. Beyond ‘dangerous’ climate change: emission scenarios for a new world K. Anderson & A. Bows 10.1098/rsta.2010.0290
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25. The impact of charcoal production on forest degradation: a case study in Tete, Mozambique F. Sedano et al. 10.1088/1748-9326/11/9/094020
26. Commodity production as restoration driver in the Brazilian Amazon? Pasture re-agro-forestation with cocoa (Theobroma cacao) in southern Pará G. Schroth et al. 10.1007/s11625-015-0330-8
27. The role of remote sensing in process-scaling studies of managed forest ecosystems J. Masek et al. 10.1016/j.foreco.2015.05.032
28. Drought and ecosystem carbon cycling M. van der Molen et al. 10.1016/j.agrformet.2011.01.018
29. Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED) D. van Wees et al. 10.5194/gmd-15-8411-2022
30. Inference of surface concentrations of nitrogen dioxide (NO2) in Colombia from tropospheric columns of the ozone measurement instrument (OMI) J. Freddy Grajales & A. Baquero-Bernal 10.1016/S0187-6236(14)71110-5
31. Interannual variability of carbon monoxide emission estimates over South America from 2006 to 2010 P. Hooghiemstra et al. 10.1029/2012JD017758
32. Estimation of Above Ground Biomass Using Texture Metrics Derived from IRS Cartosat-1 Panchromatic Data in Evergreen Forests of Western Ghats, India R. Suraj Reddy et al. 10.1007/s12524-016-0630-1
33. Impacts of geostationary satellite measurements on CO forecasting: An observing system simulation experiment with GEOS-Chem/LETKF data assimilation system K. Yumimoto 10.1016/j.atmosenv.2013.03.032
34. The impact of snow nitrate photolysis on boundary layer chemistry and the recycling and redistribution of reactive nitrogen across Antarctica and Greenland in a global chemical transport model M. Zatko et al. 10.5194/acp-16-2819-2016
35. Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades G. Mataveli et al. 10.3390/f12091217
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37. Spatially Refined Aerosol Direct Radiative Forcing Efficiencies D. Henze et al. 10.1021/es301993s
38. How Will Deforestation and Vegetation Degradation Affect Global Fire Activity? C. Park et al. 10.1029/2020EF001786
39. Improved satellite retrievals of NO<sub>2</sub> and SO<sub>2</sub> over the Canadian oil sands and comparisons with surface measurements C. McLinden et al. 10.5194/acp-14-3637-2014
40. Mega fire emissions in Siberia: potential supply of bioavailable iron from forests to the ocean A. Ito 10.5194/bg-8-1679-2011
41. Human impacts on 20th century fire dynamics and implications for global carbon and water trajectories F. Li et al. 10.1016/j.gloplacha.2018.01.002
42. Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
43. Modeling of 2008 Kasatochi volcanic sulfate direct radiative forcing: assimilation of OMI SO<sub>2</sub> plume height data and comparison with MODIS and CALIOP observations J. Wang et al. 10.5194/acp-13-1895-2013
44. Progress and Hotspots of Research on Land-Use Carbon Emissions: A Global Perspective M. Liu et al. 10.3390/su15097245
45. Cumulative emission scenarios using a consumption-based approach: a glimmer of hope? A. Bows & J. Barrett 10.4155/cmt.10.17
46. Attribution of direct ozone radiative forcing to spatially resolved emissions K. Bowman & D. Henze 10.1029/2012GL053274
47. 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
48. Rapid Recent Deforestation Incursion in a Vulnerable Indigenous Land in the Brazilian Amazon and Fire-Driven Emissions of Fine Particulate Aerosol Pollutants G. de Oliveira et al. 10.3390/f11080829
49. Forest fragmentation, climate change and understory fire regimes on the Amazonian landscapes of the Xingu headwaters B. Soares-Filho et al. 10.1007/s10980-012-9723-6
50. 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
51. How well do we know the flux of CO₂ from land-use change? R. Houghton 10.1111/j.1600-0889.2010.00473.x
52. Monitoring Landsat Based Burned Area as an Indicator of Sustainable Development Goals M. Wei et al. 10.1029/2020EF001960
53. Modeling the spatial and temporal heterogeneity of deforestation‐driven carbon emissions: the INPE‐EM framework applied to the Brazilian Amazon A. Aguiar et al. 10.1111/j.1365-2486.2012.02782.x
54. 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
55. Why Maintaining Tropical Forests is Essential and Urgent for a Stable Climate R. Goodman & M. Herold 10.2139/ssrn.2622758
56. Detection of annual burned forest area using change metrics constructed from MODIS data in Manitoba, Canada J. Chen et al. 10.1080/01431161.2015.1055605
57. Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar C. Véga et al. 10.3390/rs70810607
58. Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome P. Noojipady et al. 10.1088/1748-9326/aa5986
59. Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide M. Mu et al. 10.1029/2011JD016245
60. Poverty and environmental nexus in rural Pakistan: a multidimensional approach I. Khan et al. 10.1007/s10708-019-10090-6
61. Exploiting the power law distribution properties of satellite fire radiative power retrievals: A method to estimate fire radiative energy and biomass burned from sparse satellite observations S. Kumar et al. 10.1029/2011JD015676
62. Multi-year MODIS active fire type classification over the Brazilian Tropical Moist Forest Biome D. Roy & S. Kumar 10.1080/17538947.2016.1208686
63. Fire‐related carbon emissions from land use transitions in southern Amazonia R. DeFries et al. 10.1029/2008GL035689
64. Modeling fire‐driven deforestation potential in Amazonia under current and projected climate conditions Y. Le Page et al. 10.1029/2009JG001190