The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
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“However, deforestation still represents the main threat to the environment in the Amazon and the major source of greenhouse gas emissions (Baccini et al., 2012).”
From Transition in environmental governance in the Brazilian Amazon: emergence of a new pattern of socio-economic development and deforestation (2016) · cites this paper as Baccini et al., 2012
In the citing paper
“To address this challenge, ML can be used to predict the LiDAR's outcome from satellite imagery [48,599,693].From there, the learned estimator can perform predictions at scale.”
From Tackling climate change with machine learning (2023) · cites this paper as [48]
Citations
Cites
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Self-citationCO2 emissions from forest loss
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Self-citationIncreasing carbon storage in intact African tropical forests
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Self-citationAnnual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon
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Self-citationImportance of biomass in the global carbon cycle
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Self-citation
Research works printed but not linked: 1
- DeFries, R. et al. Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proc. Natl Acad. Sci. USA 99, 14256 (2002). · DOI
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High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
Self-citationGlobal forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086
The biomass distribution on Earth
Bar-On, Y. M., Phillips, R., & Milo, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711842115 · Cited by 3,723
Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710465114 · Cited by 3,481
Self-citationImproved allometric models to estimate the aboveground biomass of tropical trees
Chave, J., Réjou‐Méchain, M., Búrquez, A., Chidumayo, E., Colgan, M. S., Delitti, W. B. C., Duque, A., Eid, T., Fearnside, P. M., Goodman, R. C., et al. (2014) · Global Change Biology · doi:10.1111/gcb.12629 · Cited by 3,131
Metadata
- Authors
- Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., Samanta, S., & Houghton, R. A.
- Affiliations
- Woodwell Climate Research Center (US)
- University of Maryland, College Park (US)
- Boston University (US)
- Corresponding author
- Baccini, A.
- ORCID
- Venue
- Nature Climate Change
- Published
- 2012-01-29
- Volume
- 2
- Issue
- 3
- Pages
- 182-185
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2166394891
- Cited by
- 1,788
- References
- 28
- Citations by year
- 2026: 72 · 2025: 105 · 2024: 109 · 2023: 113 · 2022: 156 · 2021: 198 · 2020: 133 · 2019: 133 · 2018: 156 · 2017: 152 · 2016: 150 · 2015: 103 · 2014: 100 · 2013: 66 · 2012: 41
- FWCI
- 82.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Forestry › Remote Sensing and LiDAR Applications
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest ecology and management
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Keywords
- tropical deforestation, CO2 emissions, aboveground carbon density, carbon stocks, tropical forests, land use change, satellite remote sensing, Brazil, Indonesia
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