Integrating deep learning-based surrogate modeling into urban forest allocation optimization for maximizing carbon sequestration.
- DOI
- 10.1016/j.jenvman.2025.128535
- Published
- 2026 Jan 15
- Container
- Journal of environmental management
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2025.128535,
title = {Integrating deep learning-based surrogate modeling into urban forest allocation optimization for maximizing carbon sequestration.},
author = {Kim DS and Lee DK and Kim ES and Hwang H and Jeon H and Jin Z and Park CY},
year = {2026},
journal = {Journal of environmental management},
doi = {10.1016/j.jenvman.2025.128535},
url = {https://doi.org/10.1016/j.jenvman.2025.128535}
}RIS
TY - JOUR TI - Integrating deep learning-based surrogate modeling into urban forest allocation optimization for maximizing carbon sequestration. AU - Kim DS AU - Lee DK AU - Kim ES AU - Hwang H AU - Jeon H AU - Jin Z AU - Park CY PY - 2026 JO - Journal of environmental management DO - 10.1016/j.jenvman.2025.128535 UR - https://doi.org/10.1016/j.jenvman.2025.128535 ER -
APA
DS, K., DK, L., ES, K., H, H., H, J., Z, J., & CY, P. (2026). Integrating deep learning-based surrogate modeling into urban forest allocation optimization for maximizing carbon sequestration.. Journal of environmental management. https://doi.org/10.1016/j.jenvman.2025.128535
Source records
- pubmed · retrieved 2026-09-26T10:07:42.371Z