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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (3) : 79-84     DOI: 10.6046/gtzyyg.2013.03.14
Technology and Methodology |
Extraction of glacier snowline based on airborne LiDAR and hyperspectral data fusion
LI Guanghui1,2, WANG Cheng2, XI Xiaohuan2, ZHENG Zhaojun3, LUO Shezhou2, YUE Cairong1
1. College of Forestry, Southwest Forestry University, Kunming 650224, China;
2. Chinese Academy of Sciences for Earth Observation and Digital Earth Science Center, Beijing 100094, China;
3. The National Meteorological Satellite Meteorological Center, Beijing 100081, China
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Abstract  

With the "Zhongxi-1 Glacier" in Nagqu County of Tibet as the study area, the authors carried out pretreatment and filtering classification of airborne LiDAR point cloud data obtained in August 2011 and extracted DEM of the study area; 3D terrain simulation was conducted by airborne hyperspectral DEM data in comparative correlation respectively with DEM vector data and raster data. At the same time, based on the classification results of maximum likelihood method using the DEM hyperspectral data, ortho-rectification was performed, and thus digital orthophoto map (DOM) was obtained. Finally, the DOM and the airborne LiDAR point cloud data were combined to extract the snowline of "Zhongxi-1 Glacier". The results show that, through data fusion by using the advantages of the airborne hyperspectral data and the airborne LiDAR data, the snowline of the glacier can be extracted more easily, and the height of the snowline can be better displayed.

Keywords planning road      database      derived redline      curve element      distribution serving     
:  TP 751.1  
Issue Date: 03 July 2013
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QIN Xuexiu,ZHANG Baogang. Extraction of glacier snowline based on airborne LiDAR and hyperspectral data fusion[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 79-84.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.03.14     OR     https://www.gtzyyg.com/EN/Y2013/V25/I3/79

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