Research progress of remote sensing application on transportation meteorological disasters
Lin WANG1, Xun LI2, Yunxuan BAO1(), Yi SHAO1
1. College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044,China 2. Beijing Meteorological Service, Beijing 100089,China
Disastrous weather is the main factor which threatens the transportation security. It is difficult for traditional ground observation stations to monitor and forecast weather condition along roads to meet the transportation needs. Remote sensing (RS) technology can overcome this shortage, and shows great potentiality in transport weather research. Disastrous weather conditions will cause significant changes of geometrical or spectral features in RS images. Based on the research results obtained by domestic and foreign scientists, this paper mainly introduced the application of RS to transportation networks, weather disasters monitoring and forecasting, traffic flow, secondary disasters and loss assessment. Researches on application of RS to several typical weather conditions, such as heavy fog, rain storm, dust storm, low temperature, ice and snow coverage, were emphasized. There are good theoretical basis and practical background for RS to be applied to transportation meteorological disasters. Notable effects have been primarily manifested. Such researches will become the trend and the hot spot in transportation meteorology. With the development of RS quantification level, this application will acquire more progress and will provide the basis for disaster mechanism analysis, roads dynamical monitoring and forecasting.
OFCM(Office of the Federal Coordinator for Meteorological Services and Supporting Research) . Weather Information for Surface Transportation:National Needs Assessment Report[R].Washington,DC:U.S. Department of Commerce, 2002.
Liu D, Ma S Q, Niu X J . Feature analyses of traffic accidents on Chinese highways[J]. Journal of Chinese People’s Public Security University(Science and Technology), 2008,14(4):65-68.
Ding D P, Li X, Zhang D S , et al. The traffic accidents of Huabei freeway and its relation to the meteorological composite index[J]. Journal of Catastrophology, 2012,27(3):107-110.
Sun H, Sun Z B, Li Y C . Meteorological satellite remote-sensing spectral characteristics of fog[J]. Journal of Nanjing Institute of Meteoroloty, 2004,27(3):289-301.
[6]
Gurka J J. Using satellite data for forecasting fog and stratus dissipation [C]//Preprint 5th Conference on Weather Forecasting and Analysis. 1974: 54-57.
[7]
Eyre J R, Brownscombe J L, Allam R J . Detection of fog at night using advanced very high resolution radiometer (AVHRR) imagery[J]. Meteorological Magazine, 1984,113:266-271.
[8]
Turner J, Allam R J, Maine D R . A case study of the detection of fog at night using channels 3 and 4 on the advanced very high resolution radiometer (AVHRR)[J]. Meteorological Magazine, 1986,115:285-290.
[9]
Bendix J, Thies B, Nauss T , et al. A feasibility study of daytime fog and low stratus detection with Terra/Aqua MODIS over land[J]. Meteorological Applications. 2006,13(2):111-125.
doi: 10.1017/S1350482706002180
Ju W M, Sun H, Zhang Z Y , et al. Preliminary application of sate-llite remote sensing data on heavy fog monitoring of Huning Highway[J]. Remote Sensing Information, 1997,( 3):25-27.
Li Y C, Sun H, Li X G , et al. Study on detection of daytime fog using GMS-5 weather satellite data[J]. Journal of Nanjing Institute of Meteorology, 2001,24(3):343-349.
Zhou H M, Tang X, Ge W Q , et al. Automatic detection of heavy fog and cloud-fog separation technology in city and coastal area of eastern China based on meteorological satellite remote sensing ima-ge[J]. Plateau Meteorology, 2011,30(3):675-682.
Liu W, Gong D L, Zhao Y J , et al. The application of GMS satellite to the remote sensing monitoring of rainstorm disaster[J]. Remote Sensing for Land and Resources, 2002,14(4):14-16.doi: 10.6046/gtzyyg.2002.04.03.
Liu Y B, Fu Q N, Song P , et al. Satellite retrieval of precipitation:An overview[J]. Advances in Earth Science, 2011,26(11):1162-1172.
[15]
Huffman G J, Adler R F, Morrissey M M , et al. Global precipitation at one-degree daily resolution from multi-satellite observations[J]. Journal of Hydrometeorology, 2001,2(1):36-50.
doi: 10.1175/1525-7541(2001)002<0036:GPAODD>2.0.CO;2
Liu J, Zhang W J, Zhu Y J , et al. Case study on cloud properties of heavy rainfall based upon satellite data[J]. Journal of Applied Meteorological Science, 2007,18(2):158-164.
Fang Z Y, Zhang Y G, Zheng X J , et al. The method for monitoring dust devil using satellite and preliminary results[J]. Quaternary Sciences, 2001,21(1):48-55.
Ao Y H, Pei H, Yang L P , et al. Research on monitoring sand-dust storm using satellite remote sensing technique[J]. Journal of Natural Disasters, 2004,13(4):99-104.
[19]
King J I F . The radiative heat transfer of planet earth[M] //James A V A.Scientific Users of Earth Satellites. Second Edition.Michigan:University of Michigan Press, 1958: 133-136.
[20]
Smith W L, Woolf H M, Revercomb H E . Linear simultaneous solution for temperature and absorbing constituent profiles from radiance spectra[J]. Applied Optics, 1991,30(9):1117-1123.
doi: 10.1364/AO.30.001117
pmid: 20582114
Zhu S Y, Zhang G X, Yin Q , et al. Actualities and development trends of the study on land surface temperature retrieving from thermal infrared remote sensing[J]. Remote Sensing Technology and Application, 2006,21(5):420-425.
Sun Z W, Yu P S, Xia L , et al. Progress in study of snow parameter inversion by passive microwave remote sensing[J]. Remote Sensing for Land and Resources, 2015,27(1):9-15.doi: 10.6046/gtzyyg.2015.01.02.
Fan Y D, Wang L, Nie J , et al. Remote sensing monitoring and assessment technology for cryogenic freezing rain and snow disasters in China:Research and application[J]. Journal of Natural Disasters, 2008,17(6):21-25.
Lu A X, Shi Z T, Bao H Z , et al. The investigation of geology using remote sensing on Pailong-layue chachang of Chuanzang Road[J]. Remote Sensing Technology and Application, 2001,16(2):81-85.
Li Z Z, Zhao C Y . The aerial photo study of geological hazards in the middle part of Chuanzang Highway[J]. Remote Sensing for Land and Resources, 1998,10(3):14-18.doi: 10.6046/gtzyyg.1998.03.04.
Zhao C C, Li Y S, Zhang S Y . Study on approach to road damage assessment based on high-resolution image[J]. Surveying and Mapping, 2016,39(1):3-6.
[28]
刘亚岚, 谭衢霖, 孙国庆 , 等. 交通遥感方法与应用[M]. 北京: 科学出版社, 2012.
Liu Y L, Tan Q L, Sun G Q , et al. Methods and Application of Tra-ffic Remote Sensing[M]. Bejing: Science Press, 2012.
[29]
Suchandt S, Runge H, Breit H , et al. Automatic extraction of traffic flows using TerraSAR-X along-track interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010,48(2):807-819.
doi: 10.1109/TGRS.2009.2037919
Xu G H, Liu Q H, Chen L F , et al. Remote sensing for China’s sustainable development:Opportunities and challenges[J]. Journal of Remote Sensing, 2016,20(5):679-688.
2018, Vol. 30 
), 邵艺1
