Early damaged area estimation system using DMSP-OLS night-time imagery

The disaster information system, the Early Damaged Area Estimation System (EDES), was developed to estimate damaged areas of natural disaster using the night-time imagery of the Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS). The system employs two estimation methods to detect the city lights loss or reduction as possible impacted areas; one is the bi-temporal images (BTI) method and the other is the time-series images (TSI) method. Both methods are based on significance tests assuming that brightness of city lights fluctuates as normal random variables, and the BTI method is simplified by introducing the assumption that the standard deviation of city lights fluctuation is constant. The validity of the estimation method is discussed based on the result of the application to the 2001 Western India earthquake disaster. The estimation results identify the damaged areas distant from the epicentre fairly well, especially when using the TSI method. The system is designed to estimate the global urban damage and to provide geographic information through the Internet within 24 h after a severe disaster event. The information is expected to support the disaster response and relief activities of governments and non-governmental organizations.

[1]  Mikio Hino,et al.  Analysis of Forest Temperature Descent due to Evapotranspiration Using LANDSAT TM , 1993 .

[2]  P. Sutton,et al.  Radiance Calibration of DMSP-OLS Low-Light Imaging Data of Human Settlements , 1999 .

[3]  D. R. Wiesnet,et al.  MAPPING OF THE 1973 MISSISSIPPI RIVER FLOODS BY THE NOAA-2 SATELLITE , 1974 .

[4]  J. Rudant,et al.  Keys to analyze active lahars from Pinatubo on SAR ERS imagery , 1997 .

[5]  K. Feigl,et al.  The displacement field of the Landers earthquake mapped by radar interferometry , 1993, Nature.

[6]  Masashi Matsuoka,et al.  CHARACTERISTICS OF SATELLITE SAR INTENSITY IMAGES IN BUILDING DAMAGE AREAS DUE TO THE 1995 HYOGO-KEN NANBU EARTHQUAKE , 2001 .

[7]  P. Sutton.  Modeling population density with night-time satellite imagery and GIS , 1997 .

[8]  Lucian Chiroiu,et al.  Evaluation et cartographie de dommages par imagerie satellitaire SPOT 5: Simulation sur la ville de Bhuj, séisme de Gujarat, Inde (26 Janvier 2001) , 2001 .

[9]  S. Tanaka,et al.  Preparation of a 1:25000 Landsat map for assessment of burnt area on Etajima Island , 1983 .

[10]  Jennifer Robinson,et al.  Fire from space : global fire evaluation using infrared remote sensing , 1991 .

[11]  Donald J. Cavalieri,et al.  NASA Sea Ice Validation Program for the Defense Meteorological Satellite Program Special Sensor Microwave Imager , 1991 .

[12]  Y.-Q. Jin.  A flooding index and its regional threshold value for monitoring floods in China from SSM/I data , 1999 .

[13]  C. Elvidge,et al.  Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .

[14]  A. Standley.  The use of coincident DMSP SSM/I and OLS satellite data to improve snow cover detection and discrimination , 1999 .

[15]  Norman C. Grody,et al.  Global identification of snowcover using SSM/I measurements , 1996, IEEE Trans. Geosci. Remote. Sens..

[16]  D. Roberts,et al.  Census from Heaven: An estimate of the global human population using night-time satellite imagery , 2001 .

[17]  Saburoh Midorikawa,et al.  CHARACTERISTICS OF SATELLITE OPTICAL IMAGES IN AREAS DAMAGED BY THE 1995 HYOGO-KEN NANBU EARTHQUAKE , 2001 .

[18]  D. Rothery,et al.  Volcano monitoring using short wavelength infrared data from satellites , 1988 .

[19]  J. L. Foster,et al.  Observations Of The Earth Using Nighttime Visible Imagery , 1983, Other Conferences.

[20]  William I. Rose,et al.  Anatomy of 1986 Augustine volcano eruptions as recorded by multispectral image processing of digital AVHRR weather satellite data , 1991 .

[21]  Arun K. Saraf,et al.  Cover: IRS-1C-PAN depicts Chamoli earthquake induced landslides in Garhwal Himalayas, India , 2000 .

[22]  Cover. Monitoring water surface ratio in the Chinese floods of summer 1998 by DMSP-SSM/I , 2000 .

[23]  J. L. Foster,et al.  Night-time observations of snow using visible imagery , 1983 .

[24]  C. Elvidge,et al.  Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .

[25]  Christopher D. Elvidge,et al.  Algorithm for the Retrieval of Fire Pixels from DMSP Operational Linescan System Data , 1995 .

[26]  Marc L. Imhoff,et al.  Monsoon flood boundary delineation and damage assessment using space borne imaging radar and Landsat data , 1987 .

[27]  C. Elvidge,et al.  DMSP-OLS estimation of tropical forest area impacted by surface fires in Roraima, Brazil: 1995 versus 1998 , 2001 .

[28]  C. P. Lo.  Modeling the population of China using DMSP operational linescan system nighttime data , 2001 .

[29]  Yasushi Yamaguchi,et al.  Detection of Landslide Areas Using Satellite Radar Interferometry , 2000 .

[30]  Hirokazu Yamamoto,et al.  Study of Monitoring Method for Huge Forest Fire Using DMSP and GMS , 1998 .

[31]  C. Yonezawa,et al.  Decorrelation of SAR data by urban damages caused by the 1995 Hyogoken-nanbu earthquake , 2001 .