Rapid Response to a Typhoon-Induced Flood with an SAR- Derived Map of Inundated Areas: Case Study and Validation

被引:26
作者
Chung, Hsiao-Wei [1 ]
Liu, Cheng-Chien [1 ,2 ]
Cheng, I-Fan [2 ]
Lee, Yun-Ruei [2 ]
Shieh, Ming-Chang [3 ]
机构
[1] Natl Cheng Kung Univ, Dept Earth Sci, Tainan 70101, Taiwan
[2] Natl Cheng Kung Univ, Global Earth Observat & Data Anal Ctr, Tainan 701, Taiwan
[3] Water Resources Agcy, Water Hazard Mitigat Ctr, Taipei 106, Taiwan
关键词
remote sensing; synthetic aperture radar imagery; visible imagery; flooding; flood hazard mapping; BOUNDARY DELINEATION; DAMAGE ASSESSMENT; SATELLITE IMAGES; RADAR; URBAN; MODELS;
D O I
10.3390/rs70911954
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We report the successful case of a rapid response to a flash flood in I-Lan County of Taiwan with a map of inundated areas derived from COSMO-SkyMed 1 radar satellite imagery within 24 hours. The flood was caused by the intensive precipitation brought by Typhoon Soulik in July 2013. Based on the ensemble forecasts of trajectory, an urgent request of spaceborne SAR imagery was made 24 hours before Typhoon Soulik made landfall. Two COSMO-SkyMed images were successfully acquired when the center of Typhoon Soulik had just crossed the northern part of Taiwan. The standard level-1b product (radiometric-corrected, geometric-calibrated and orthorectified image) was generated by using the off-the-shelf SARscape software. Following the same approach used with the Expert Landslide and Shadow Area Delineating System, the regional threshold of each tile image was determined to delineate still water surface and quasi-inundated areas in a fully-automatic manner. The results were overlaid on a digital elevation model, and the same tile was visually compared to an optical image taken by Formosat-2 before this event. With this ancillary information, the inundated areas were accurately and quickly identified. The SAR-derived map of inundated areas was published on a web-based platform powered by Google Earth within 24 hours, with the aim of supporting the decision-making process of disaster prevention and mitigation. A detailed validation was made afterwards by comparing the map with in situ data of the water levels at 17 stations. The results demonstrate the feasibility of rapidly responding to a typhoon-induced flood with a spaceborne SAR-derived map of inundated areas. A standard operating procedure was derived from this work and followed by the Water Hazard Mitigation Center of the Water Resources Agency, Taiwan, in subsequent typhoon seasons, such as Typhoon Trami (August, 2013) and Typhoon Soudelor (August, 2015).
引用
收藏
页码:11954 / 11973
页数:20
相关论文
共 33 条
[1]   An algorithm for rapid flood inundation mapping from optical data using a reflectance differencing technique [J].
Amarnath, G. .
JOURNAL OF FLOOD RISK MANAGEMENT, 2014, 7 (03) :239-250
[2]   A synergetic use of satellite imagery from SAR and optical sensors to improve coastal flood mapping in the Gulf of Mexico [J].
Chaouch, Naira ;
Temimi, Marouane ;
Hagen, Scott ;
Weishampel, John ;
Medeiros, Stephen ;
Khanbilvardi, Reza .
HYDROLOGICAL PROCESSES, 2012, 26 (11) :1617-1628
[3]   Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier-A Case of Yuyao, China [J].
Feng, Quanlong ;
Liu, Jiantao ;
Gong, Jianhua .
WATER, 2015, 7 (04) :1437-1455
[4]   Accounting for image uncertainty in SAR-based flood mapping [J].
Giustarini, L. ;
Vernieuwe, H. ;
Verwaeren, J. ;
Chini, M. ;
Hostache, R. ;
Matgen, P. ;
Verhoest, N. E. C. ;
De Baets, B. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 34 :70-77
[5]   Analysis of digital elevation models of the geological surveys of the Elkon uranium-ore district (Aldan-Stanovoi Shield) [J].
Goroshko, M. V. ;
Gil'manova, G. Z. ;
Rybas, O. V. .
RUSSIAN JOURNAL OF PACIFIC GEOLOGY, 2015, 9 (02) :136-140
[6]   Suitability of SAR imagery for automatic flood mapping in the Lower Mekong Basin [J].
Greifeneder, Felix ;
Wagner, Wolfgang ;
Sabel, Daniel ;
Naeimi, Vahid .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (08) :2857-2874
[7]  
Horritt MS, 2001, INT J REMOTE SENS, V22, P2489, DOI 10.1080/01431160152497691
[8]  
IMHOFF ML, 1987, PHOTOGRAMM ENG REM S, V53, P405
[9]   Simplified Flood Inundation Mapping Based On Flood Elevation-Discharge Rating Curves Using Satellite Images in Gauged Watersheds [J].
Jung, Younghun ;
Kim, Dongkyun ;
Kim, Dongwook ;
Kim, Munmo ;
Lee, Seung Oh .
WATER, 2014, 6 (05) :1280-1299
[10]   Flood monitoring using microwave remote sensing in a part of Nuna river basin, Odisha, India [J].
Kundu, Sananda ;
Aggarwal, S. P. ;
Kingma, Nanette ;
Mondal, Arun ;
Khare, Deepak .
NATURAL HAZARDS, 2015, 76 (01) :123-138