Can 3D model improve the accuracy of leaf chlorophyll content estimation using UAV and sentinel-2 data?
- DOI
- 10.1016/j.jag.2025.104810
- Published
- 2025-09
- Container
- International Journal of Applied Earth Observation and Geoinformation
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.jag.2025.104810,
title = {Can 3D model improve the accuracy of leaf chlorophyll content estimation using UAV and sentinel-2 data?},
author = {Jiachen Li and Hu Zhang and Raúl López-Lozano and Marie Weiss and Chenpeng Gu and Faisal Mumtaz and Jing Li and Qinhuo Liu and Junhua Bai and Xue Liu and Junyong Fang},
year = {2025},
journal = {International Journal of Applied Earth Observation and Geoinformation},
doi = {10.1016/j.jag.2025.104810},
url = {https://doi.org/10.1016/j.jag.2025.104810}
}RIS
TY - JOUR TI - Can 3D model improve the accuracy of leaf chlorophyll content estimation using UAV and sentinel-2 data? AU - Jiachen Li AU - Hu Zhang AU - Raúl López-Lozano AU - Marie Weiss AU - Chenpeng Gu AU - Faisal Mumtaz AU - Jing Li AU - Qinhuo Liu AU - Junhua Bai AU - Xue Liu AU - Junyong Fang PY - 2025 JO - International Journal of Applied Earth Observation and Geoinformation DO - 10.1016/j.jag.2025.104810 UR - https://doi.org/10.1016/j.jag.2025.104810 ER -
APA
Li, J., Zhang, H., López-Lozano, R., Weiss, M., Gu, C., Mumtaz, F., Li, J., Liu, Q., Bai, J., Liu, X., & Fang, J. (2025). Can 3D model improve the accuracy of leaf chlorophyll content estimation using UAV and sentinel-2 data?. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2025.104810
Source records
- crossref · retrieved 2026-09-26T22:46:30.179Z