GEOMATICS AND EARTH OBSERVATION SCIENCE (EOS) FOR DISASTER MANAGEMENT:AN OVERVIEW

LIU Yu-tao

Volume 14 Issue 3

Sep. 2008

Turn off MathJax

Article Contents

Article Navigation > Journal of Geomechanics > 2008 > 14(3): 212-220

LIU Yu-tao, 2008. GEOMATICS AND EARTH OBSERVATION SCIENCE (EOS) FOR DISASTER MANAGEMENT:AN OVERVIEW. Journal of Geomechanics, 14 (3): 212-220.

Citation:

LIU Yu-tao, 2008. GEOMATICS AND EARTH OBSERVATION SCIENCE (EOS) FOR DISASTER MANAGEMENT:AN OVERVIEW. Journal of Geomechanics, 14 (3): 212-220.

Citation:

LIU Yu-tao, 2008. GEOMATICS AND EARTH OBSERVATION SCIENCE (EOS) FOR DISASTER MANAGEMENT:AN OVERVIEW. Journal of Geomechanics, 14 (3): 212-220.

PDF( 315 KB)

GEOMATICS AND EARTH OBSERVATION SCIENCE (EOS) FOR DISASTER MANAGEMENT:AN OVERVIEW

LIU Yu-tao

Shanghai Ocean Geology Investigate Design Co., Ltd, Shanghai 200120, China

More Information

Received: 2008-08-27
Published: 2008-09-01

Abstract

Abstract

Based on an introduction of disaster management, geomatics and earth observation science (EOS), a discussion has been made on the utility of geomatics and EOS for natural disaster management.It is believed that the development in new techniques on sensors, high-resolution satellite remote sensing system can provides multiple source, timely and accurate spatial data on disaster management can improve the accuracy of satellite image interpretation and strengthen the capability of natural disaster detection and identification.The development in SDI and related techniques, as well as the strengthening function of software, not only drives the ongoing improved data availability, accessibility and data sharing, enhances data management, processing, analysis and dissemination capability, but also improve the quality and visualization of disaster forecasting and decision-making, hence increase efficiency and effectiveness at all levels of disaster management activities.In addition, their limitations and potential research challenges in the current geomatics and EOS for disaster management have been generally discussed.
- disaster management,
- geomatics,
- earth observation science (EOS),
- spatial data infrastructure (SDI)

FullText(HTML)

References(17)

References

[1]	Van Westen C.Geoinformation Science and Earth Observationfor municipal risk management[J].The SLARIMProject, 2003.
[2]	李德仁.论"GEOMATICS"的中译名[J].测绘通报, 1998, 27(2). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chtb199807005
[3]	Verjee F.The Application of Geomaticsin Complex Humanitarian Emergencies[J].SEAS Fellow&Research Associate Institutefor Crisis, Disaster&Risk Management, the George Washington University, 2004.
[4]	李德仁.对地观测与地理信息系统[J].地球科学进展, 2001, 16(5):689~703. doi: 10.3321/j.issn:1001-8166.2001.05.013
[5]	Montoya L.Geo-data acquisition through mobile GIS and digital video:an urban disaster management perspective[J].Environmental Modeling&Software, 2003, 18(10):869~876. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ025746966/
[6]	Van Westen C. Remote Sensing and Geographic Information Systemsfor Natural Disaster Management In Skidmore[M]. A. ed. Environmental Modeling with GIS and Remote Sensing. London: Taylor&Francis, 2002. 200~226.
[7]	Mansourian A. A, Rajabifard, et al. Using SDI and web-based systemto facilitate disaster management[J]. Computers&Geosciences, 2006, 32(3): 303~315.
[8]	Nichol J E, Shaker A, et al.Application of high-resolution stereo satellite images to detailed landslide hazard assessment[J].Geomorphology, 2006, 76(1~2):68~75. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=JJ024972165
[9]	McKean J, Roering J.Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry[J].Geomorphology, 2004, 57(3~4):331~351. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ026153955/
[10]	Metternicht G, Hurni L, et al.Remote sensing of landslides:An analysis of the potential contribution to geo-spatial systems forhazard assessment in mountainous environments[J].Remote Sensing of Environment, 2005, 98(2~3):284~303. doi: 10.1016/j.rse.2005.08.004
[11]	Waheed T, Bonnell R B, et al.Measuring performance in precision agriculture:CART——A decision tree approach[J].Agricultural Water Management, 2006, 84(1~2):173~185.
[12]	Raucoules D, Maisons C, et al.Monitoring of slowground deformation by ERS radar interferometry on the Vauvert salt mine(France):Comparison with ground-based measurement[J].Remote Sensing of Environment, 2003, 88(4):468~478. doi: 10.1016/j.rse.2003.09.005
[13]	Singhroy V, Molch K.Characterizing and monitoringrockslides fromSARtechniques[J].Advances in Space Research, 2004, 33(3):290~295. doi: 10.1016/S0273-1177(03)00470-8
[14]	Tralli DM, Blom RG, et al.Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2005, 59(4):185~198. doi: 10.1016/j.isprsjprs.2005.02.002
[15]	Luca Gusella C K H, Beverley J. Adams, Sungbin Cho, Hung Chung. Damage Assessment with Very-High Resolution OpticalImagery Followingthe December 26, 2003 Bam, Iran Earthquake. 2004.
[16]	Keiko Saito RS, M. EERI, Terence Ade CFoley. Visual Damage Assessment Using High-Resolution Satellite Images Followingthe 2003 Bam, Iran, Earthquake[J]. Earthquake Spectra, 2005, 21: 309~318.
[17]	Kerle N, Stekelenburg R. Advanced structural disaster damage assessment based on aerial oblique video imagery and integratedauxiliary data sources. Paper presented at the ISPRS 2004 Istanbul conference, 2004.