Integration of machine learning and geospatial technologies for predicting forest cover change and carbon stock under Ethiopian Green Legacy Initiative.
- DOI
- 10.1007/s10661-026-15573-x
- Published
- 2026 Jun 22
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15573-x,
title = {Integration of machine learning and geospatial technologies for predicting forest cover change and carbon stock under Ethiopian Green Legacy Initiative.},
author = {Tamene GA and Moisa MB and Dejene IN and Begna DN and Chalchissa FB and Roba ZR and Kipkulei HK and Deribew KT and Gurmessa MM and Tariq A and Çelik MA and Gemeda DO},
year = {2026},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-026-15573-x},
url = {https://doi.org/10.1007/s10661-026-15573-x}
}RIS
TY - JOUR TI - Integration of machine learning and geospatial technologies for predicting forest cover change and carbon stock under Ethiopian Green Legacy Initiative. AU - Tamene GA AU - Moisa MB AU - Dejene IN AU - Begna DN AU - Chalchissa FB AU - Roba ZR AU - Kipkulei HK AU - Deribew KT AU - Gurmessa MM AU - Tariq A AU - Çelik MA AU - Gemeda DO PY - 2026 JO - Environmental monitoring and assessment DO - 10.1007/s10661-026-15573-x UR - https://doi.org/10.1007/s10661-026-15573-x ER -
APA
GA, T., MB, M., IN, D., DN, B., FB, C., ZR, R., HK, K., KT, D., MM, G., A, T., MA, Ç., & DO, G. (2026). Integration of machine learning and geospatial technologies for predicting forest cover change and carbon stock under Ethiopian Green Legacy Initiative.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15573-x
Source records
- pubmed · retrieved 2026-09-25T22:45:05.396Z
- europe-pmc · retrieved 2026-09-25T22:45:05.421Z