Flood Extent Forecasting Using Synchronized Floodwater Index Coupling with in-Situ Data

Autor: Jonggeol Park, Youngjoo Kwak, Wataru Takeuchi
Rok vydání: 2019
Předmět:
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