Application of the multifractal microcanonical formalism to the detection of fire plumes in NOAA–AVHRR data

H. Yahia, A. Turiel, N. Chrysoulakis, J. Grazzini, P. Prastacos, I. Herlin

Open source

DOI: 10.1080/01431160701840174
Published: 2008-06-14
Container: International Journal of Remote Sensing
Publisher: Informa UK Limited
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. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
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. 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
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1080/01431160701840174,
  title = {Application of the multifractal microcanonical formalism to the detection of fire plumes in NOAA–AVHRR data},
  author = {H. Yahia and A. Turiel and N. Chrysoulakis and J. Grazzini and P. Prastacos and I. Herlin},
  year = {2008},
  journal = {International Journal of Remote Sensing},
  doi = {10.1080/01431160701840174},
  url = {https://doi.org/10.1080/01431160701840174}
}

RIS

TY  - JOUR
TI  - Application of the multifractal microcanonical formalism to the detection of fire plumes in NOAA–AVHRR data
AU  - H. Yahia
AU  - A. Turiel
AU  - N. Chrysoulakis
AU  - J. Grazzini
AU  - P. Prastacos
AU  - I. Herlin
PY  - 2008
JO  - International Journal of Remote Sensing
DO  - 10.1080/01431160701840174
UR  - https://doi.org/10.1080/01431160701840174
ER  -

APA

Yahia, H., Turiel, A., Chrysoulakis, N., Grazzini, J., Prastacos, P., & Herlin, I. (2008). Application of the multifractal microcanonical formalism to the detection of fire plumes in NOAA–AVHRR data. International Journal of Remote Sensing. https://doi.org/10.1080/01431160701840174

Source records

crossref · retrieved 2026-09-25T23:06:41.286Z