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Flood Prevention and Emergency Response System Powered by Google Earth Engine

1
Department of Earth Sciences, National Cheng Kung University, Tainan 70101, Taiwan
2
Global Earth Observation and Data Analysis Center, National Cheng Kung University, Tainan 70101, Taiwan
3
Water Hazard Mitigation Center, Water Resource Agency, Taipei 10651, Taiwan
4
Now at the 10th River Management Office, Water Resource Agency, New Taipei 22061, Taiwan
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(8), 1283; https://doi.org/10.3390/rs10081283
Received: 4 July 2018 / Revised: 30 July 2018 / Accepted: 10 August 2018 / Published: 14 August 2018
(This article belongs to the Collection Google Earth Engine Applications)
This paper reviews the efforts made and experiences gained in developing the Flood Prevention and Emergency Response System (FPERS) powered by Google Earth Engine, focusing on its applications at the three stages of floods. At the post-flood stage, FPERS integrates various remote sensing imageries, including Formosat-2 optical imagery to detect and monitor barrier lakes, synthetic aperture radar imagery to derive an inundation map, and high-spatial-resolution photographs taken by unmanned aerial vehicles to evaluate damage to river channels and structures. At the pre-flood stage, a huge amount of geospatial data are integrated in FPERS and are categorized as typhoon forecast and archive, disaster prevention and warning, disaster events and analysis, or basic data and layers. At the during-flood stage, three strategies are implemented to facilitate the access of the real-time data: presenting the key information, making a sound recommendation, and supporting the decision-making. The example of Typhoon Soudelor in August of 2015 is used to demonstrate how FPERS was employed to support the work of flood prevention and emergency response from 2013 to 2016. The capability of switching among different topographic models and the flexibility of managing and searching data through a geospatial database are also explained, and suggestions are made for future works. View Full-Text
Keywords: flood; disaster prevention; emergency response; decision making; Google Earth Engine flood; disaster prevention; emergency response; decision making; Google Earth Engine
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MDPI and ACS Style

Liu, C.-C.; Shieh, M.-C.; Ke, M.-S.; Wang, K.-H. Flood Prevention and Emergency Response System Powered by Google Earth Engine. Remote Sens. 2018, 10, 1283.

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