期刊文献+

遥感技术在漾濞县泥石流灾害解译中的应用研究 被引量:7

Application of Remote Sensing Technology in the Interpretation for Yangbi County’s Debris Flow
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摘要 在漾濞县地质灾害调查中,应用"3S"技术,建立了三维遥感地形,突破了传统调查的方法限制,发挥其逼真、形象、宏观、真实的特点,取得了较好的效果.研究发现:利用遥感技术结合野外考察,可以提取引发泥石流的主要因素并解译出灾害点信息,是一种快速、直观的好方法;通过对遥感数据各波段之间的特征统计分析和相关性分析,选取了ETM+741作为地质灾害解译的最佳波段组合. Using "3S"technology in the survey of Yangbi County's Geological Hazards,three-dimensional remote sensing terrain was established,breaking the limit for traditional methods in the survey,with their realistic,vivid,macroscopic,features,and achieved good results.It's found that: the use of remote sensing technology combined with fieldworks,can extract the main factors of debris flow and interpreting information which is a fast and intuitive way;by analysis remote sensing data,the features of each and the related statistical,selected ETM+741 as the best interpretational combination for geological disasters.
作者 郑著彬
出处 《江西理工大学学报》 CAS 2010年第3期25-27,共3页 Journal of Jiangxi University of Science and Technology
基金 江西省教育厅2010年度青年科学基金资助项目(GJJ10239) 赣南师范学院自然科学研究课题资助项目(08kyz06)
关键词 遥感技术 漾濞县 地质灾害 解译 remote sensing technology Yangbi County geological disasters interpretation
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参考文献5

  • 1漾濞彝族自治县地方志编纂委员会.漾濞彝族自治县志[M].昆明:云南人民出版社,2000.
  • 2杨燕,田庆久.森林覆盖区山地遥感地形校正的方法研究[J].遥感信息,2008,30(1):22-26. 被引量:9
  • 3Leica Geosystems.ERDAS IMAGINE 9.3 Tour Guides[M].Atlanta:Georgia,2008.
  • 4党安荣,王晓栋,陈晓峰.Erdas Image遥感图像处理方法[M].北京:清华大学出版社,2007.
  • 5Baraza,Balkerna,Rotterdam.Knowledge of the Ceological Hazard.Connected with Underground Cavities in Urban Areas[J].International Congress International Association of Engineering Geology,Amsterdam,6-10 August 2008,(21):1973-1980.

二级参考文献12

  • 1黄微,张良培,李平湘.一种改进的卫星影像地形校正算法[J].中国图象图形学报,2005,10(9):1124-1128. 被引量:37
  • 2黄微,张良培,李平湘.一种顾及空间相关性遥感影像辐射度的地形校正算法[J].测绘学报,2006,35(3):285-290. 被引量:17
  • 3Fengj,Rivard B, Azofeifa A S. The topographic normalization of hyperspectral data : Implication for the selection of spectral end members and lithologic mapping[J]. Remote Sensing of Environment, 2003, (85) : 221-231.
  • 4Riano D, Chuvieco E, Salas J,Aguado I. Assessment of different topographic corrections in Landsat TM data for mapping vegetation types[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003,41 (5) :1056-106.
  • 5Degui Gu and Alan Gillespie. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry[J]. Remote Sensing of Environment, 1998,(64) :166-175.
  • 6Degui G,Gill Espie A R , Adams J B ,Weeks R. A statistical approach for topographic correction of satellite images by using context information[J]. Geoscience and Remote Sensing, 1999,37 (1) : 236-246.
  • 7Eraser Gemmell, An investigation of terrain effects on the inversion of a forest reflectance model[J], Remote Sensing Environment, 1998,(65) : 155-169.
  • 8Reeder D. H.. Topogrphic correction of satellite images : Theory and application[D]. Dartmouth College,2002.
  • 9亓学勇.山地TM遥感影像大气辐射校正及地表反射率反演方法研究[D].南京大学,2006.
  • 10Teillet, P. M. Goodenough,D. G.. On the slope-aspect correction of multispectral scanner data[J]. Canadian Journal of Remote Sensing, 1982, (8) : 84-106.

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