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Flood Disaster Monitoring and Emergency Assessment Based on Multi-Source Remote Sensing Observations.
- Source :
- Water (20734441); Jul2022, Vol. 14 Issue 14, pN.PAG-N.PAG, 16p
- Publication Year :
- 2022
-
Abstract
- Flood disasters are one of the most serious meteorological disasters in China. With the rapid development of information technology, individual monitoring tools could not meet the need for flood disaster monitoring. Therefore, a new integrated air-space-ground method, based on combined satellite remote sensing, unmanned aerial vehicle remote sensing and field measurement technology, has been proposed to monitor and assess flood disasters caused by a dam failure in Poyang County, Jiangxi Province. In this paper, based on an air-space-ground investigation system, the general flooded areas, severely affected areas, and more severely affected areas were 53.18 km<superscript>2</superscript>, 12.61 km<superscript>2</superscript> and 6.98 km<superscript>2</superscript>, respectively. The size of the dam break gap was about 65 m and 34.7 m on 22 and 23 June. The assessment precision was better than 98%, and the root mean square error (RMSE) was 0.86 m. The method could meet the needs for flood disaster information at different spatiotemporal scales, such as macro scale, medium scale and local small scale. The integrated monitoring of flood disasters was carried out to provide the whole process and all-round information on flood evolution dynamics, the disaster development process for flood disaster monitoring and emergency assessment, and holographic information for emergency rescue and disaster reduction, as well as to meet the need for different temporal and spatial scales of information in the process of disaster emergencies. [ABSTRACT FROM AUTHOR]
- Subjects :
- FLOOD warning systems
DAM failures
REMOTE sensing
STANDARD deviations
DISASTERS
Subjects
Details
- Language :
- English
- ISSN :
- 20734441
- Volume :
- 14
- Issue :
- 14
- Database :
- Complementary Index
- Journal :
- Water (20734441)
- Publication Type :
- Academic Journal
- Accession number :
- 158318784
- Full Text :
- https://doi.org/10.3390/w14142207