Articles | Volume 14, issue 8
https://doi.org/10.5194/nhess-14-2165-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-14-2165-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Aug 2014
Research article |
| 25 Aug 2014
Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties
T. Feng
School of Life Sciences and Technology, Tongji University, 1239 Siping Road, Shanghai, 200092, China
Department of Disaster and Emergency Medicine, Eastern Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China
Z. Hong
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
College of Information technology, Shanghai Ocean University, 999 Huchenghuan Road, Shanghai, 201306, China
Q. Fu
Research Institute of Structural Engineering and Disaster Reduction, College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China
S. Ma
Department of Disaster and Emergency Medicine, Eastern Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China
X. Jie
Department of Disaster and Emergency Medicine, Eastern Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China
H. Wu
School of Life Sciences and Technology, Tongji University, 1239 Siping Road, Shanghai, 200092, China
C. Jiang
Department of Disaster and Emergency Medicine, Eastern Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China
X. Tong
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
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Cited
10 citations as recorded by crossref.
- A GIS-based approach for earthquake loss estimation based on the immediate extraction of damaged buildings H. Ranjbar et al. 10.1080/19475705.2016.1265013
- A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery J. Zhao et al. 10.3390/ijerph15061111
- A Zoning Earthquake Casualty Prediction Model Based on Machine Learning B. Li et al. 10.3390/rs14010030
- Earthquake fatality prediction based on hybrid feature importance assessment: a case study in Yunnan Province, China M. Luo et al. 10.1007/s11069-023-05812-6
- EARTHQUAKE-INDUCED BUILDING DETECTION BASED ON OBJECT-LEVEL TEXTURE FEATURE CHANGE DETECTION OF MULTI-TEMPORAL SAR IMAGES Q. Li et al. 10.1590/s1982-21702018000400028
- A Novel Framework for Estimation and Prediction of Direct Economic Earthquake Loss for Regional Buildings Q. Ge et al. 10.1080/13632469.2022.2112323
- Processing Social Media Images by Combining Human and Machine Computing during Crises F. Alam et al. 10.1080/10447318.2018.1427831
- Performance evaluation of random forest and support vector regressions in natural hazard change detection V. Eisavi & S. Homayouni 10.1117/1.JRS.10.046030
- SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery A. Sarkar et al. 10.1109/TGRS.2023.3276293
- Natural hazard damage detection based on object-level support vector data description of optical and SAR Earth observations R. Shah-Hosseini et al. 10.1080/01431161.2017.1294777
10 citations as recorded by crossref.
- A GIS-based approach for earthquake loss estimation based on the immediate extraction of damaged buildings H. Ranjbar et al. 10.1080/19475705.2016.1265013
- A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery J. Zhao et al. 10.3390/ijerph15061111
- A Zoning Earthquake Casualty Prediction Model Based on Machine Learning B. Li et al. 10.3390/rs14010030
- Earthquake fatality prediction based on hybrid feature importance assessment: a case study in Yunnan Province, China M. Luo et al. 10.1007/s11069-023-05812-6
- EARTHQUAKE-INDUCED BUILDING DETECTION BASED ON OBJECT-LEVEL TEXTURE FEATURE CHANGE DETECTION OF MULTI-TEMPORAL SAR IMAGES Q. Li et al. 10.1590/s1982-21702018000400028
- A Novel Framework for Estimation and Prediction of Direct Economic Earthquake Loss for Regional Buildings Q. Ge et al. 10.1080/13632469.2022.2112323
- Processing Social Media Images by Combining Human and Machine Computing during Crises F. Alam et al. 10.1080/10447318.2018.1427831
- Performance evaluation of random forest and support vector regressions in natural hazard change detection V. Eisavi & S. Homayouni 10.1117/1.JRS.10.046030
- SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery A. Sarkar et al. 10.1109/TGRS.2023.3276293
- Natural hazard damage detection based on object-level support vector data description of optical and SAR Earth observations R. Shah-Hosseini et al. 10.1080/01431161.2017.1294777
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