Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake

2013 ◽  
Vol 69 (3) ◽  
pp. 1577-1595 ◽  
Author(s):  
Tienan Feng ◽  
Zhonghua Hong ◽  
Hengjing Wu ◽  
Qiushi Fu ◽  
Chaoxin Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Wenchuan Earthquake ◽  
2008 Wenchuan Earthquake ◽  
Earthquake Casualties

Discussion on Remote Dynamic Sensing Monitoring Method for Land in Regions under Rapid Economic Development

2012 ◽  
Vol 518-523 ◽  
pp. 5788-5792
Author(s):  
Zheng Dong Xie ◽  
Jian Zhang ◽  
Bu Zhuo Peng
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Resolution ◽  
Property Right ◽  
Remote Sensing Images ◽  
Monitoring Method ◽  
Nanjing City ◽  
Platform System ◽  
First Time

The paper was supported by The Second Land Investigation Item and took Nanjing city, Jiangsu Province as a case study. The research of the theory, technique and application for land use investigation was achieved by the high-resolution remote sensing images for application, designed a set of technique of land use investigation for land property right management. The database and platform system were established to carry out the dynamic management of land use. Based on the summarization of the correlative studies, The paper designed a set of technique of land investigation for land property right management and also designed the technical process, dealt with the remote sensing images, detected the changed information, classified the land, investigated the land property right and established the database to serve for the management of land property right. And it has been successfully used in Nanjing. It’s unique to use the high-resolution remote sensing images by QuichBird for the scale of 1:5000 in land use investigation in area cities which is also the first time in Nanjing City.

scholarly journals High Resolution Remote Sensing of Densely Urbanised Regions: a Case Study of Hong Kong

Sensors ◽  
2009 ◽  
Vol 9 (6) ◽  
pp. 4695-4708 ◽  
Author(s):  
Janet Nichol ◽  
Man Sing Wong
Keyword(s):  
Remote Sensing ◽  
Hong Kong ◽  
High Resolution

scholarly journals Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami

2018 ◽  
Vol 10 (10) ◽  
pp. 1626 ◽  
Author(s):  
Yanbing Bai ◽  
Erick Mas ◽  
Shunichi Koshimura
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Disaster Response ◽  
Tohoku Earthquake ◽  
2011 Tohoku Earthquake ◽  
Mapping Technique ◽  
Convolutional Network ◽  
Response Practice ◽  
Damage Mapping

The satellite remote-sensing-based damage-mapping technique has played an indispensable role in rapid disaster response practice, whereas the current disaster response practice remains subject to the low damage assessment accuracy and lag in timeliness, which dramatically reduces the significance and feasibility of extending the present method to practical operational applications. Therefore, a highly efficient and intelligent remote-sensing image-processing framework is urgently required to mitigate these challenges. In this article, a deep learning algorithm for the semantic segmentation of high-resolution remote-sensing images using the U-net convolutional network was proposed to map the damage rapidly. The algorithm was implemented within a Microsoft Cognitive Toolkit framework in the GeoAI platform provided by Microsoft. The study takes the 2011 Tohoku Earthquake-Tsunami as a case study, for which the pre- and post-disaster high-resolution WorldView-2 image is used. The performance of the proposed U-net model is compared with that of deep residual U-net. The comparison highlights the superiority U-net for tsunami damage mapping in this work. Our proposed method achieves the overall accuracy of 70.9% in classifying the damage into “washed away,” “collapsed,” and “survived” at the pixel level. In future disaster scenarios, our proposed model can generate the damage map in approximately 2–15 min when the preprocessed remote-sensing datasets are available. Our proposed damage-mapping framework has significantly improved the application value in operational disaster response practice by substantially reducing the manual operation steps required in the actual disaster response. Besides, the proposed framework is highly flexible to extend to other scenarios and various disaster types, which can accelerate operational disaster response practice.

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