Flood Extent Forecasting Using Synchronized Floodwater Index Coupling with in-Situ Data
Autor: | Jonggeol Park, Youngjoo Kwak, Wataru Takeuchi |
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Rok vydání: | 2019 |
Předmět: |
Index (economics)
010504 meteorology & atmospheric sciences Meteorology Flood myth business.industry Flooding (psychology) 0211 other engineering and technologies Elevation 02 engineering and technology 01 natural sciences Water level Coupling (computer programming) Moderate resolution imaging spectrometer Environmental science business Risk management 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
Zdroj: | IGARSS |
Popis: | A multi-dimensional approach is an upcoming technology in disaster risk to understand a real risk. In the case of flooding, dimensions of time and elevation (height) should be considered to produce rapid and accurate risk information. Dynamic spatio-temporal flood prediction is an urgent issue for the risk management of short- and long-duration flooding. The main objective of this paper is to propose a step-wise process for dynamic flood detection using the synchronized floodwater index (SfWI2) coupled with 5-day lead-time forecasting data and in-situ water-level data with the primary focus on daily change in flood extent. We mainly employed the 2015 time-series Moderate Resolution Imaging Spectrometer (MODIS) data acquired over the study area along the Brahmaputra River where flood events occur annually. Based on scenario-based forecasting water-levels, flood extent maps were created and show the possibility of the proposed multi-dimensional approach as a useful tool for short-duration flood prediction. |
Databáze: | OpenAIRE |
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