Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches
Omid Ghorbanzadeh, Khalil Valizadeh Kamran, Thomas Blaschke, Jagannath Aryal, Amin Naboureh, Jamshid Einali, Jinhu Bian
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/fire2030043 ↗
- Volume · Issue · Pages
- 2 · 3 · 43-43
- Publisher
- MDPI AG
- Article URL
- http://dx.doi.org/10.3390/fire2030043 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
28 Jul 2019
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 28 Jul 2019 | OpenAlex |
Keywords (as given): wildfire susceptibility; spatial prediction; GPS surveying; conditioning factors; artificial neural networks; support vector machine; random forest; forest fire risk
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- Fire
- Publication date used
- 28 Jul 2019 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.