J4 ›› 2011, Vol. 41 ›› Issue (2): 609-614.

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Atmospheric Correction Research on Vegetation Patterns of Multi-Angle Hyperspectral CHRIS/Proba Data

WANG Ming-chang1,WANG Ya-nan1,CHEN Sheng-bo1,LU Peng1,TAO Yu-long1|XU Lian-ju2   

  1. 1.College of GeoExploration Science and Technology, Jilin University, Changchun130026, China;
    2.Changchun Real Estate Regitration and Certification Centre, Changchun130022, China
  • Received:2010-04-20 Online:2011-03-26 Published:2011-03-26

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Abstract:

Atmospheric correction of remote sensing data is a prerequisite for quantitative remote sensing valuation, what will have a direct impact on the later quantitative analysis, information extraction and remote sensing applications. Choosed the multi-angle hyperspectral CHRIS/Proba data of Changbai Mountain area on Aug 30, 2008, according to the characteristics of vegetation patterns in multi-angle hyperspectral CHRIS data, filter methods are used for stripe noises removal, atmospheric correction are carried out based on the principle of MODTRAN model, and results are compared with the transit MODIS atmospheric correction products at the same time, the maximum reflectivity error within the same wavelength is 0.001 6, what provides an important basis for further quantitative remote sensing inversion of vegetation parameters, biomass and other information.

Key words: remote sensing, multi-angle hyperspectral, CHRIS/Proba data, vegetation patterns, atmospheric correction

CLC Number: 

  • P627
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