A statistical model to predict and analyze air surface temperature based on remotely sensed observations.
- DOI
- 10.1007/s11356-021-16321-z
- Published
- 2022 Feb
- Container
- Environmental science and pollution research international
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-021-16321-z,
title = {A statistical model to predict and analyze air surface temperature based on remotely sensed observations.},
author = {Lim HS and Rajab J and Al-Salihi A and Salih Z and MatJafri MZ},
year = {2022},
journal = {Environmental science and pollution research international},
doi = {10.1007/s11356-021-16321-z},
url = {https://doi.org/10.1007/s11356-021-16321-z}
}RIS
TY - JOUR TI - A statistical model to predict and analyze air surface temperature based on remotely sensed observations. AU - Lim HS AU - Rajab J AU - Al-Salihi A AU - Salih Z AU - MatJafri MZ PY - 2022 JO - Environmental science and pollution research international DO - 10.1007/s11356-021-16321-z UR - https://doi.org/10.1007/s11356-021-16321-z ER -
APA
HS, L., J, R., A, A., Z, S., & MZ, M. (2022). A statistical model to predict and analyze air surface temperature based on remotely sensed observations.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-021-16321-z
Source records
- pubmed · retrieved 2026-09-26T15:23:25.255Z