Preprints
https://doi.org/10.5194/nhess-2018-73
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-73
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
10 Apr 2018
10 Apr 2018
Review status: this preprint was under review for the journal NHESS but the revision was not accepted.
An Automated Technique for Damage Mapping after Earthquakes by Detecting Changes between High-Resolution Images
- 1College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- 2Center of Information and Network Technology, Beijing Normal University, Beijing, China
- 3Key Laboratory of Environmental Change and Natural Disaster of MOE, Beijing Normal University, Beijing, China
- 4Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing, China
- 5Heilongjiang Geomatics center of China Bureau of Surveying and maping, Harbin, China
- 1College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- 2Center of Information and Network Technology, Beijing Normal University, Beijing, China
- 3Key Laboratory of Environmental Change and Natural Disaster of MOE, Beijing Normal University, Beijing, China
- 4Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing, China
- 5Heilongjiang Geomatics center of China Bureau of Surveying and maping, Harbin, China
Abstract. Improving the speed and accuracy of earthquake disaster loss evaluations is very important for disaster response and rescue. This paper presents a new method for urban damage assessments after earthquake disasters by using a change detection technique between bi-temporal (pre- and post-event) high-resolution optical images. A similarity index derived from a pair of images was used to extract the characteristics of collapsed buildings. In this paper, the methods are illustrated using two case studies. Our results confirmed the effectiveness and precision of the proposed technique with optical data of the damage presented using a block scale.
How to cite. Ci, T., Liu, Z., Wang, Y., Lin, Q., and Wu, D.: An Automated Technique for Damage Mapping after Earthquakes by Detecting Changes between High-Resolution Images, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2018-73, 2018.
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Tianyu Ci et al.
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Referee's comment', Anonymous Referee #1, 08 May 2018
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AC1: 'We have modified the manuscript as your comments', Tianyu Ci, 02 Jul 2018
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AC1: 'We have modified the manuscript as your comments', Tianyu Ci, 02 Jul 2018
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RC2: 'Review comments', Anonymous Referee #2, 27 May 2018
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AC3: 'Response', Tianyu Ci, 04 Jul 2018
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AC3: 'Response', Tianyu Ci, 04 Jul 2018
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RC3: 'Review', Anonymous Referee #3, 29 May 2018
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AC2: 'some response', Tianyu Ci, 02 Jul 2018
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AC2: 'some response', Tianyu Ci, 02 Jul 2018
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Referee's comment', Anonymous Referee #1, 08 May 2018
-
AC1: 'We have modified the manuscript as your comments', Tianyu Ci, 02 Jul 2018
-
AC1: 'We have modified the manuscript as your comments', Tianyu Ci, 02 Jul 2018
-
RC2: 'Review comments', Anonymous Referee #2, 27 May 2018
-
AC3: 'Response', Tianyu Ci, 04 Jul 2018
-
AC3: 'Response', Tianyu Ci, 04 Jul 2018
-
RC3: 'Review', Anonymous Referee #3, 29 May 2018
-
AC2: 'some response', Tianyu Ci, 02 Jul 2018
-
AC2: 'some response', Tianyu Ci, 02 Jul 2018
Tianyu Ci et al.
Tianyu Ci et al.
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Short summary
Improving the speed and accuracy of earthquake disaster loss evaluations is very important for disaster response and rescue. This paper presents a new method for urban damage assessments after earthquake disasters by using a change detection technique between bi-temporal (pre- and post-event) high-resolution optical images.
Improving the speed and accuracy of earthquake disaster loss evaluations is very important for...
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