Open digital mapping as a cost-effective method for mapping peat thickness and assessing the carbon stock of tropical peatlands
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ML was applied to features extracted from remote sensing data to estimate the thickness of peat and assess the carbon stock of tropical peatlands.
“In [538], ML was applied to features extracted from remote sensing data to estimate the thickness of peat and assess the carbon stock of tropical peatlands.”
From Tackling climate change with machine learning (2023) · cites this paper as [538]
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Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Rudiyanto, Minasny, B., Setiawan, B. I., Saptomo, S. K., & McBratney, A. B.
- Affiliations
- The University of Sydney (AU)
- IPB University (ID)
- Corresponding author
- Minasny, Budiman
- Setiawan, Budi Indra
- Venue
- Geoderma
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 313
- Pages
- 25-40
- ISSN
- 0016-7061 (ISSN-L)
- OpenAlex
- W2767801680
- Cited by
- 143
- References
- 83
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 21 · 2023: 22 · 2022: 23 · 2021: 23 · 2020: 13 · 2019: 17 · 2018: 5
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Geoderma (publishedVersion)
- Funders
- Japan Aerospace Exploration Agency
- Topics
- Physical Sciences › Environmental Science › Ecology › Peatlands and Wetlands Ecology
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
- Physical Sciences › Engineering › Ocean Engineering › Wetland Management and Conservation
- Keywords
- tropical peatlands, peat carbon stocks, open source software, machine learning, SRTM DEM, ALOS PALSAR, bulk density, carbon content, uncertainty estimation, error propagation, peatland conservation, Bengkalis Island
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