Aerosol Optical Depth Retrieval from MODIS Using a Physically Informed Machine Learning Framework

Tianchen Liang, Linqing Zou, Qiaoning He, Lin Sun

Open source

DOI: 10.3390/rs18172862
Published: 08
Container: Remote Sensing
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3390/rs18172862,
  title = {Aerosol Optical Depth Retrieval from MODIS Using a Physically Informed Machine Learning Framework},
  author = {Tianchen Liang and Linqing Zou and Qiaoning He and Lin Sun},
  year = {2026},
  journal = {Remote Sensing},
  doi = {10.3390/rs18172862},
  url = {https://doi.org/10.3390/rs18172862}
}

RIS

TY  - JOUR
TI  - Aerosol Optical Depth Retrieval from MODIS Using a Physically Informed Machine Learning Framework
AU  - Tianchen Liang
AU  - Linqing Zou
AU  - Qiaoning He
AU  - Lin Sun
PY  - 2026
JO  - Remote Sensing
DO  - 10.3390/rs18172862
UR  - https://doi.org/10.3390/rs18172862
ER  -

APA

Liang, T., Zou, L., He, Q., & Sun, L. (2026). Aerosol Optical Depth Retrieval from MODIS Using a Physically Informed Machine Learning Framework. Remote Sensing. https://doi.org/10.3390/rs18172862

Source records

doaj · retrieved 2026-11-10T07:31:39.593Z