Enhancing Aedes aegypti breeding site detection: A deep learning approach to tire identification in unmanned aerial vehicle imagery from urban Indonesia.
- DOI
- 10.1016/j.rsase.2026.102011
- Published
- 2026 Apr
- Container
- Remote sensing applications : society and environment
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.rsase.2026.102011,
title = {Enhancing Aedes aegypti breeding site detection: A deep learning approach to tire identification in unmanned aerial vehicle imagery from urban Indonesia.},
author = {Hassan MM and Chamberlin AJ and Tarpenning MS and Weber WC and Coombe KD and De Leo GA and Junaid M and Soma AS and Ansariadi and Rosser JI},
year = {2026},
journal = {Remote sensing applications : society and environment},
doi = {10.1016/j.rsase.2026.102011},
url = {https://doi.org/10.1016/j.rsase.2026.102011}
}RIS
TY - JOUR TI - Enhancing Aedes aegypti breeding site detection: A deep learning approach to tire identification in unmanned aerial vehicle imagery from urban Indonesia. AU - Hassan MM AU - Chamberlin AJ AU - Tarpenning MS AU - Weber WC AU - Coombe KD AU - De Leo GA AU - Junaid M AU - Soma AS AU - Ansariadi AU - Rosser JI PY - 2026 JO - Remote sensing applications : society and environment DO - 10.1016/j.rsase.2026.102011 UR - https://doi.org/10.1016/j.rsase.2026.102011 ER -
APA
MM, H., AJ, C., MS, T., WC, W., KD, C., GA, D. L., M, J., AS, S., Ansariadi, & JI, R. (2026). Enhancing Aedes aegypti breeding site detection: A deep learning approach to tire identification in unmanned aerial vehicle imagery from urban Indonesia.. Remote sensing applications : society and environment. https://doi.org/10.1016/j.rsase.2026.102011
Source records
- pubmed · retrieved 2026-09-26T17:56:28.648Z