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

International Journal of Remote Sensing

Volumn 25, Issue 11, 2004, Pages 2015-2036

  Kohiyama, M ^a   Hayashi, H ^b   Maki, N ^b   Higashida, M ^b   Kroehl, H W ^c   Elvidge, C D ^c   Hobson, V R ^d  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b Natl Res Inst for Earth Sci   (Japan)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EARTHQUAKE EFFECTS; ESTIMATION; IMAGING TECHNIQUES; METEOROLOGY; RANDOM PROCESSES; SATELLITES; SATELLITE IMAGERY;

EARTHQUAKE DISASTER; GEOGRAPHIC INFORMATION; DEFENSE METEOROLOGICAL SATELLITE PROGRAM / OPERATIONAL LINESCAN SYSTEM; DISASTER INFORMATION SYSTEM; ESTIMATION METHODS; NONGOVERNMENTAL ORGANIZATIONS; NORMAL RANDOM VARIABLE; STANDARD DEVIATION;

REMOTE SENSING; DISASTERS;

DAMAGE; DISASTER MANAGEMENT; ESTIMATION METHOD; IMAGE ANALYSIS; INFORMATION SYSTEM; NATURAL DISASTER; REMOTE SENSING; SATELLITE IMAGERY;

EID: 2942537768     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160310001595033     Document Type: Article

References (46)

1. André, G., Chiroiu, L., Guillande, R., and Galaup, M., 2002, Evaluation et cartographie de dommages par imagerie satellite SPOT 5: simulation sur la ville de Bhuj, séisme du Gujurat, Inde (26 janvier 2001). Bulletin de la Société Française de Photogrammétrie et Télédétection, 164/165, 174-183.
2. Cavalieri, D. J., 1991, NASA sea ice validation program for the Defense Meteorological Satellite Program Special Sensor Microwave Imager. Journal of Geophysical Research, 96, 21969-21970.
3. Chorowicz, J., Lopez, E., Garcia, F., Parrot, J.-F., Rudant, J.-P., and Vinluan, R., 1997, Keys to analyze active lahars from Pinatubo on SAR ERS Imagery. Remote Sensing of Environment, 62, 20-29.
4. Elvidge, C. D., Kroehl, H. W., Kihn, E. A., Baugh, K. E., Davis, E. R., and Hao, W. M., 1995, Algorithm for the retrieval of fire pixels from DMSP Operational Linescan System data. In Global Biomass Burning, edited by J. S. Levine (Cambridge, Massachusetts: MIT Press), pp. 73-85.
5. Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., and Davis, E. R., 1997a, Mapping city lights with nighttime data from the DMSP Operational Linescan System. Photogrammetric Engineering and Remote Sensing, 63, 727-734.
6. Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., Davis, E. R., and Davis, C. W., 1997b, Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption. International Journal of Remote Sensing, 18, 1373-1379.
7. Elvidge, C. D., Baugh, K. E., Hobson, V. R., Kihn, E. A., Kroehl, H. W., and Kroehl, H. W., 1998, Detection of fires and power outages at night using DMSP-OLS data, Internet file as of 19 November 1998, http://www.ngdc.noaa.gov/dmsp/fires/fires_desc.html.
8. Elvidge, C. D., Baugh, K. E., Dietz, J. B., Bland, T., Sutton, P. C., and Kroehl, H. W., 1999, Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Remote Sensing of Environment, 68, 77-88.
9. Elvidge, C. D., Hobson, V. R., Baugh, K. E., Dietz, J. B., Shimabukuro, T. E., Krug, T., Novo, E. M. L. M., and Echavarria, F. R., 2001, DMSP-OLS estimation of tropical forest area impacted by surface fire in Roraima, Brazil: 1995 versus 1998. International Journal of Remote Sensing, 22, 2661-2673.
10. EOSDIS National Snow and Ice Data Center, 1996, DMSP SSM/I Brightness Temperatures and Sea Ice Concentration Grids for the Polar Regions. User's Guide (Boulder, Colorado: NSIDC, University of Colorado).
11. Foster, J. L., 1983a, Observations of the earth using nighttime visible imagery. Proceedings of Society of Photo-optical Instrumentation Engineers, 414, 187-193.
12. Foster, J. L., 1983b, Night-time observations of snow using visible imagery. International Journal of Remote Sensing, 4, 785-791.
13. Forestry and Forest Products Research Institute, Meteorological Research Institute, National Space Development Agency, National Institute of Agricultural Environment Study, Computer Center for Agriculture, Forestry and Fisheries Research, and Japan Science and Technology Corporation, 2001, Asia-Pacific network for disaster mitigation using earth observation satellite (ANDES). Research Report, Forestry and Forest Products Research Institute, Japan.
14. Grody, N. C., and Basist, A. N., 1996, Global identification of snowcover using SSM/I measurements. IEEE Transactions on Geoscience and Remote Sensing, 34, 237-249.
15. Gujarat Informatics Limited, 2001. Details of Affected Districts. Internet file as of 5 and 28 February 2001, http://www.gujaratinformatics.com/quake/district_details.html.
16. Holasek, R. E., and Rose, W. I., 1991, Anatomy of 1986 Augustine volcano eruptions as recorded by multispectral image processing of digital AVHRR weather satellite data. Bulletin of Volcanology, 53, 429-435.
17. Imhoff, M. L., Vermillion, C., Story, M. H., Choudhury, A. M., Gafoor, A., and Polcyn, F., 1987, Monsoon flood boundary delineation and damage assessment using space borne imaging radar and Landsat data. Photogrammetric Engineering and Remote Sensing, 53, 405-413.
18. Inanaga, A., Tanaka, S., Takeuchi, S., Takasaki, K., and Suga, Y., 1995, Remote sensing data for investigation of earthquake disaster. 21st Annual Conference of the Remote Sensing Society, 11-14 September 1995 (Nottingham: Remote Sensing Society), pp. 1089-1096.
19. Jin, Y. Q., 1999, A flooding index and its regional threshold value for monitoring floods in China from SSM/I data. International Journal of Remote Sensing, 20, 1025-1030.
20. Kimura, H., and Yamaguchi, Y., 2000, Detection of landslide areas using satellite radar interferometry. Photogrammetric Engineering and Remote Sensing, 66, 337-343.
21. Kodama, M., and Song, X., 2000, A new remote sensing database system in Ministry of Agriculture, Forestry and Fisheries, Japan. 51st International Astronautical Congress (Paris: International Astronautical Federation), IAF-00-B.4.05, pp. 1-11.
22. Kohiyama, M., Hayashi, H., Maki, N., Hashitera, S., Matsuoka, M., Kroehl, H. W., Elvidge, C. D., and Hobson, V. R., 2000a, Development of Early Damaged Area Estimation System (EDES) using DMSP/OLS nighttime imagery. Journal of the Institute of Social Safety Science, 2, 79-86 [in Japanese].
23. Kohiyama, M., Hayashi, H., Maki, N., and Hashitera, S., 2000b, Validity study of EDES application to Taiwan Chi-Chi earthquake disaster. 21th Asian Conference on Remote Sensing (Taipei: Center for Space & Remote Sensing Research, National Central University, and Chinese Taipei Society of Photogrammetry and Remote Sensing), vol. 1, 407-412.
24. Kohiyama, M., Hashitera, S., Maki, N., and Hayashi, H., 2001, Development of Early Damaged Area Estimation System using DMSP/OLS nighttime imagery. EDM Technical Report, No. 10, Earthquake Disaster Mitigation Research Center, Institute of Physical and Chemical Research, Japan [in Japanese].
25. Konami, T., Shibasaki, R., and Tan, G., 1998, Using nighttime DMSP-OLS images of citylights to estimate district-level population distribution in developing countries. 19th Asian Conference on Remote Sensing (Manila: National Mapping and Resource Information Authority), pp.Q21_1-6.
26. Lo, C. P., 2001, Modeling the population of China using DMSP Operational Linescan System nighttime data. Photogrammetric Engineering and Remote Sensing, 67, 1037-1047.
27. Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., and Rabaute, T., 1993, The displacement fields of the Landers earthquake mapped by radar interferometry. Nature, 364, 138-142.
28. Matsuoka, M., Yamazaki, F., and Midorikawa, S., 2001, Characteristics of satellite optical images in areas damaged by the 1995 Hyogo-ken Nanbu earthquake. Journal of Structural Mechanics and Earthquake Engineering, Japan Society of Civil Engineering, 668/1-54, 177-185 [in Japanese].
29. Matsuoka, M., and Yamazaki, F., 2001, Characteristics of satellite SAR intensity images in building damage areas due to the 1995 Hyogo-ken Nanbu earthquake. Journal of Structural and Construction Engineering, Architectural Institute of Japan, 546, 55-61 [in Japanese].
30. Murakami, H., 2001, Outline of damage survey. A comprehensive survey of the 26 January 2001 earthquake (Mw7.7) in the State of Gujarat, India. Report by the research team supported by the grant-in-aid for specially promoted research provided by the Japanese Ministry of Education, Culture, Sports, Science and Technology in the fiscal year of 2000, Grant No. 12800019, Japan, pp. 51-55.
31. Nagano, O., Yamamoto, H., Okada, Y., Honda, Y., Kajiwara, K., and Elvidge, C. D., 1998, Study of monitoring method for huge forest fire using DMSP and GMS. Journal of the Japanese Society of Photogrammetry and Remote Sensing, 37, 32-41 [in Japanese].
32. Nakayama, Y., Tanaka, S., and Suga, Y., 1993, DMSP global nighttime image and its geographical meanings. Journal of the Remote Sensing Society of Japan, 13, 1-14 [in Japanese].
33. Nakayama, M., 1998, DMSP-OLS imagery to estimate population. International Symposium on Resource and Environmental Monitoring (Budapest: Technical Com VII, International Society for Photogrammetry and Remote Sensing), pp. 1-4.
34. Nakayama, M., and Elvidge, C. D., 1999, Applying newly developed calibrated radiance DMSP-OLS data for estimation of population. 20th Asian Conference on Remote Sensing (Hong Kong: Joint Laboratory for GeoInformation Science of The Chinese Academy of Sciences and The Chinese University of Hong Kong), vol. 1, pp. 289-293.
35. Robinson, J. M., 1991, Fire from space: global fire evaluation using infrared remote sensing. International Journal of Remote Sensing, 12, 3-24.
36. Rothery, D. A., Francis, P. W., and Wood, C. A., 1988, Volcano monitoring using short wavelength infrared data from satellites. Journal of Geophysical Research, 93, 7993-8008.
37. Saraf, A. K., 2000, IRS-1C-PAN depicts Chamoli earthquake induced landslides in Garhwal Himalayas, India. International Journal of Remote Sensing, 21, 2345-2352.
38. Standley, A. P., and Barrett, E. C., 1999, The use of coincident DMSP SSM/I and OLS satellite data to improve snow cover detection and discrimination. International Journal of Remote Sensing, 20, 285-305.
39. Sutton, P., 1997, Modeling population density with night-time satellite imagery and GIS. Computers, Environment, and Urban Systems, 21, 227-244.
40. Sutton, P., Roberts, D., Elvidge, C., and Baugh, K., 2001, Census from heaven: an estimate of the global human population using night-time satellite imagery. International Journal of Remote Sensing, 22, 3061-3076.
41. Tanaka, S., Kimura, H., and Suga, Y., 1983, Preparation of a 1:25 000 Landsat map for assessment of burnt area on Etajima Island. International Journal of Remote Sensing, 4, 17-31.
42. Tanaka, M., Sugimura, T., and Tanaka, S., 2000, Monitoring water surface ratio in the Chinese floods of summer 1998 by DMSP-SSM/I. International Journal of Remote Sensing, 21, 1561-1569.
43. USGS National Earthquake Information Center, 2001, Earthquake Notification Services: Bigquake. Internet file as of 7 May 2001, http://wwwneic.cr.usgs.gov/neis/data_services/data_services.html.
44. Wiesnet, D. R., McGinnis, D. F., and Pritchard, J. A., 1974, Mapping of the 1973 Mississippi River floods by NOAA-2 satellite. Water Resources Bulletin, 10, 1040-1049.
45. Yoshie, T., and Tsu, H., 1995, A satellite data processing to delineate the densely built-up areas damaged disastrously by 1995 Hyogoken-nanbu earthquake. 18th Japanese Conference of Remote Sensing (Tokyo: Remote Sensing Society of Japan), pp. 119-122 [in Japanese].
46. Yonezawa, C., and Takeuchi, S., 2001, Decorrelation of SAR data by urban damages caused by the 1995 Hyogoken-nanbu earthquake. International Journal of Remote Sensing, 22, 1585-1600.