Adaptive wildfire spread prediction for complex terrain: modeling the effectiveness of sprinkler systems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Adaptive wildfire spread prediction for complex terrain: modeling the effectiveness of sprinkler systems ; volume:20 ; number:1 ; day:27 ; month:8 ; year:2024 ; pages:1-23 ; date:12.2024
Fire ecology ; 20, Heft 1 (27.8.2024), 1-23, 12.2024
- Urheber
-
Kim, Jaekyoung
Ahn, Junghyeon
Kang, Junsuk
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s42408-024-00306-7
- URN
-
urn:nbn:de:101:1-2411112102260.872755101356
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Kim, Jaekyoung
- Ahn, Junghyeon
- Kang, Junsuk
- SpringerLink (Online service)
Ähnliche Objekte (12)
The Portuguese Large Wildfire Spread Database (PT-FireSprd)
Shapley-based interpretation of deep learning models for wildfire spread rate prediction
ABWiSE v1.0: Toward and Agent-Based Approach to Simulating Wildfire Spread
ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread
Before it Spreads “Like Wildfire” : Prisoners’ Rights in the Time of COVID-19
THE LARGE-SCALE WILDFIRE SPREAD PREDICTION USING A MULTI-KERNEL CONVOLUTIONAL NEURAL NETWORK
Retraction Note: Shapley-based interpretation of deep learning models for wildfire spread rate prediction
Evaluating fireline effectiveness across large wildfire events in north-central Washington State
Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Bam Wildfire, Vol. 1
Tabletop-Konsole: Wildfire, 1979
The Portuguese Large Wildfire Spread Database (PT-FireSprd)
Shapley-based interpretation of deep learning models for wildfire spread rate prediction
ABWiSE v1.0: Toward and Agent-Based Approach to Simulating Wildfire Spread
ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread
Before it Spreads “Like Wildfire” : Prisoners’ Rights in the Time of COVID-19
THE LARGE-SCALE WILDFIRE SPREAD PREDICTION USING A MULTI-KERNEL CONVOLUTIONAL NEURAL NETWORK
Retraction Note: Shapley-based interpretation of deep learning models for wildfire spread rate prediction
Evaluating fireline effectiveness across large wildfire events in north-central Washington State
Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Bam Wildfire, Vol. 1
Tabletop-Konsole: Wildfire, 1979
The Portuguese Large Wildfire Spread Database (PT-FireSprd)
Shapley-based interpretation of deep learning models for wildfire spread rate prediction
ABWiSE v1.0: Toward and Agent-Based Approach to Simulating Wildfire Spread
ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread
Before it Spreads “Like Wildfire” : Prisoners’ Rights in the Time of COVID-19
THE LARGE-SCALE WILDFIRE SPREAD PREDICTION USING A MULTI-KERNEL CONVOLUTIONAL NEURAL NETWORK
Retraction Note: Shapley-based interpretation of deep learning models for wildfire spread rate prediction
Evaluating fireline effectiveness across large wildfire events in north-central Washington State
Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Bam Wildfire, Vol. 1