Flood prevention and emergency response system powered by Google Earth Engine

Cheng Chien Liu; Ming Chang Shieh; Ming Syun Ke; Kung Hwa Wang

doi:10.3390/rs10081283

Flood prevention and emergency response system powered by Google Earth Engine

Cheng Chien Liu, Ming Chang Shieh, Ming Syun Ke, Kung Hwa Wang

Department of Earth Sciences

Research output: Contribution to journal › Review article › peer-review

50 Citations (Scopus)

Abstract

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.

Original language	English
Article number	1283
Journal	Remote Sensing
Volume	10
Issue number	8
DOIs	https://doi.org/10.3390/rs10081283
Publication status	Published - 2018 Aug 1

All Science Journal Classification (ASJC) codes

General Earth and Planetary Sciences

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10.3390/rs10081283

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title = "Flood prevention and emergency response system powered by Google Earth Engine",

abstract = "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.",

author = "Liu, {Cheng Chien} and Shieh, {Ming Chang} and Ke, {Ming Syun} and Wang, {Kung Hwa}",

note = "Funding Information: This research was supported by the Water Resource Agency of Taiwan under Contract No MOEA WRA1050069., as well as the Ministry of Science and Technology of Taiwan under Contract No. MoST 2017-2611-M-006-002. The authors acknowledge the assistance received from the CentralWeather Bureau (CWB) and the National Science and Technology Center for Disaster Reduction (NCDR) of Taiwan. Funding Information: Funding: This research was supported by the Water Resource Agency of Taiwan under Contract No MOEA WRA1050069., as well as the Ministry of Science and Technology of Taiwan under Contract No. MoST 2017-2611-M-006-002. Funding Information: Acknowledgments: The authors acknowledge the assistance received from the Central Weather Bureau (CWB) and the National Science and Technology Center for Disaster Reduction (NCDR) of Taiwan. Publisher Copyright: {\textcopyright} 2018 by the authors.",

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doi = "10.3390/rs10081283",

language = "English",

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AU - Liu, Cheng Chien

AU - Shieh, Ming Chang

AU - Ke, Ming Syun

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N1 - Funding Information: This research was supported by the Water Resource Agency of Taiwan under Contract No MOEA WRA1050069., as well as the Ministry of Science and Technology of Taiwan under Contract No. MoST 2017-2611-M-006-002. The authors acknowledge the assistance received from the CentralWeather Bureau (CWB) and the National Science and Technology Center for Disaster Reduction (NCDR) of Taiwan. Funding Information: Funding: This research was supported by the Water Resource Agency of Taiwan under Contract No MOEA WRA1050069., as well as the Ministry of Science and Technology of Taiwan under Contract No. MoST 2017-2611-M-006-002. Funding Information: Acknowledgments: The authors acknowledge the assistance received from the Central Weather Bureau (CWB) and the National Science and Technology Center for Disaster Reduction (NCDR) of Taiwan. Publisher Copyright: © 2018 by the authors.

PY - 2018/8/1

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N2 - 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.

AB - 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.

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Flood prevention and emergency response system powered by Google Earth Engine

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