Spatial analysis of air pollution and cancer prevalence in Texas: a machine learning approach using satellite remote sensing data.

Dong F, Rahman MT, Chen H

DOI: 10.1007/s10661-026-15102-w
Published: 2026 Mar 5
Container: Environmental monitoring and assessment
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10661-026-15102-w,
  title = {Spatial analysis of air pollution and cancer prevalence in Texas: a machine learning approach using satellite remote sensing data.},
  author = {Dong F and Rahman MT and Chen H},
  year = {2026},
  journal = {Environmental monitoring and assessment},
  doi = {10.1007/s10661-026-15102-w},
  url = {https://doi.org/10.1007/s10661-026-15102-w}
}

RIS

TY  - JOUR
TI  - Spatial analysis of air pollution and cancer prevalence in Texas: a machine learning approach using satellite remote sensing data.
AU  - Dong F
AU  - Rahman MT
AU  - Chen H
PY  - 2026
JO  - Environmental monitoring and assessment
DO  - 10.1007/s10661-026-15102-w
UR  - https://doi.org/10.1007/s10661-026-15102-w
ER  -

APA

F, D., MT, R., & H, C. (2026). Spatial analysis of air pollution and cancer prevalence in Texas: a machine learning approach using satellite remote sensing data.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15102-w

Source records

pubmed · retrieved 2026-09-26T11:10:38.274Z
europe-pmc · retrieved 2026-09-26T11:10:38.290Z