Natural Hazard Susceptibility Mapping Using Ubiquitous Geospatail Artificial Intelligence (Ubiquitous GeoAI) Concept: A Case Study on Forest Fire Susceptibility Mapping

Babak Ranjgar, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

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DOI: 10.9734/bpi/costr/v7/2669a
Published: 2022-10-26
Container: Current Overview on Science and Technology Research Vol. 7
Publisher: Book Publisher International (a part of SCIENCEDOMAIN International)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.9734/bpi/costr/v7/2669a,
  title = {Natural Hazard Susceptibility Mapping Using Ubiquitous Geospatail Artificial Intelligence (Ubiquitous GeoAI) Concept: A Case Study on Forest Fire Susceptibility Mapping},
  author = {Babak Ranjgar and Seyed Vahid Razavi-Termeh and Abolghasem Sadeghi-Niaraki and Soo-Mi Choi},
  year = {2022},
  journal = {Current Overview on Science and Technology Research Vol. 7},
  doi = {10.9734/bpi/costr/v7/2669a},
  url = {https://doi.org/10.9734/bpi/costr/v7/2669a}
}

RIS

TY  - JOUR
TI  - Natural Hazard Susceptibility Mapping Using Ubiquitous Geospatail Artificial Intelligence (Ubiquitous GeoAI) Concept: A Case Study on Forest Fire Susceptibility Mapping
AU  - Babak Ranjgar
AU  - Seyed Vahid Razavi-Termeh
AU  - Abolghasem Sadeghi-Niaraki
AU  - Soo-Mi Choi
PY  - 2022
JO  - Current Overview on Science and Technology Research Vol. 7
DO  - 10.9734/bpi/costr/v7/2669a
UR  - https://doi.org/10.9734/bpi/costr/v7/2669a
ER  -

APA

Ranjgar, B., Razavi-Termeh, S. V., Sadeghi-Niaraki, A., & Choi, S. (2022). Natural Hazard Susceptibility Mapping Using Ubiquitous Geospatail Artificial Intelligence (Ubiquitous GeoAI) Concept: A Case Study on Forest Fire Susceptibility Mapping. Current Overview on Science and Technology Research Vol. 7. https://doi.org/10.9734/bpi/costr/v7/2669a

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crossref · retrieved 2026-09-25T03:32:16.488Z