Rapid flood and damage mapping using synthetic aperture radar in response to Typhoon Hagibis, Japan
| Autor: | Emma M. Hill, Jungkyo Jung, Alok Bhardwaj, Shi Tong Chin, Cheryl W. J. Tay, Sang-Ho Yun |
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| Přispěvatelé: | Asian School of the Environment, Earth Observatory of Singapore |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Synthetic aperture radar Data Descriptor Geographic information system 010504 meteorology & atmospheric sciences Geology [Science] Library and Information Sciences 01 natural sciences Education 03 medical and health sciences Natural hazard lcsh:Science 030304 developmental biology 0105 earth and related environmental sciences Remote sensing 0303 health sciences Flood myth business.industry Geographic Information System Natural hazards Hurricane Computer Science Applications Aerial imagery Metadata Geophysics Typhoon Environmental science lcsh:Q Statistics Probability and Uncertainty business Change detection Information Systems |
| Zdroj: | Scientific Data Scientific Data, Vol 7, Iss 1, Pp 1-9 (2020) |
| ISSN: | 2052-4463 1196-8443 |
| Popis: | During the aftermath of Typhoon Hagibis, we made flood and damage proxy maps, rapidly derived from synthetic aperture radar (SAR) data using change detection approaches. The maps have large spatial coverage over the Tokyo, Fukushima, Ibaraki, Iwate, and Nagano prefectures of Japan. The maps are also largely in agreement with various validation sources including aerial imagery, optical imagery and news sources. Apart from visual maps, we provide flood and damage extents in various formats compatible with geographic information system (GIS) applications. The data may potentially be used for applications such as typhoon risk modelling, investigating spatial correlations of typhoon impacts, and comparing alternative flood or damage mapping techniques. Measurement(s)damage • floodTechnology Type(s)synthetic aperture radarFactor Type(s)geographic locationSample Characteristic - EnvironmentcycloneSample Characteristic - LocationJapan Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11968443 |
| Databáze: | OpenAIRE |
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