Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2192-6395
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China ; volume:10 ; number:3 ; day:19 ; month:9 ; year:2019 ; pages:386-403 ; date:9.2019
International journal of disaster risk science ; 10, Heft 3 (19.9.2019), 386-403, 9.2019
- Creator
-
Zhang, Guoli
Wang, Ming
Liu, Kai
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s13753-019-00233-1
- URN
-
urn:nbn:de:101:1-2020020523395163351780
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhang, Guoli
- Wang, Ming
- Liu, Kai
- SpringerLink (Online service)
Other Objects (12)
Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data
Assessment of Short-medium Term Intervention Effects Using CAESAR-Lisflood in Post-earthquake Mountainous Area
Flood Detection Using GRACE Terrestrial Water Storage and Extreme Precipitation
An assessment of short–medium-term interventions using CAESAR-Lisflood in a post-earthquake mountainous area
Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
Seismic Risk Assessment of the Railway Network of China’s Mainland
System vulnerability and risk assessment of railway systems to flooding
GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning
A River Flood and Earthquake Risk Assessment of Railway Assets along the Belt and Road
How to use empirical data to improve transportation infrastructure risk assessment
Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data
Assessment of Short-medium Term Intervention Effects Using CAESAR-Lisflood in Post-earthquake Mountainous Area
Flood Detection Using GRACE Terrestrial Water Storage and Extreme Precipitation
An assessment of short–medium-term interventions using CAESAR-Lisflood in a post-earthquake mountainous area
Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
Seismic Risk Assessment of the Railway Network of China’s Mainland
System vulnerability and risk assessment of railway systems to flooding
GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning
A River Flood and Earthquake Risk Assessment of Railway Assets along the Belt and Road
How to use empirical data to improve transportation infrastructure risk assessment
Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data
Assessment of Short-medium Term Intervention Effects Using CAESAR-Lisflood in Post-earthquake Mountainous Area
Flood Detection Using GRACE Terrestrial Water Storage and Extreme Precipitation
An assessment of short–medium-term interventions using CAESAR-Lisflood in a post-earthquake mountainous area
Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
GPRChinaTemp1km: a high-resolution monthly air temperature dataset for China (1951–2020) based on machine learning
Seismic Risk Assessment of the Railway Network of China’s Mainland
System vulnerability and risk assessment of railway systems to flooding
GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning
A River Flood and Earthquake Risk Assessment of Railway Assets along the Belt and Road