地理学报

地理学报 ›› 1999, Vol. 54 ›› Issue (5): 454-461.doi: 10.11821/xb199905009

• 论文 • 上一篇    下一篇

遥感数据的裸沙土壤线校正方法

池宏康1, 陈维英2, 张海蕾1   

  1. 1. 中国科学院植物研究所植被数量生态学开放实验室,北京100093;
    2. 国家气象卫星中心,北京100081
  • 收稿日期:1998-09-03 修回日期:1999-05-10 出版日期:1999-09-15 发布日期:1999-09-15
  • 基金资助:
    国家自然科学重大基金资助项目(39393003)

A Method for Correcting Remote Sensing Data by Bare sand Soil Line

CHI Hong kang1, ZHEN Wei ying2, ZHANG Hai lei 1   

  1. 1. Institute of Botany, CAS, Beijing 100093;
    2. National Satellite Meteorological Center of China, Beijing 100081
  • Received:1998-09-03 Revised:1999-05-10 Online:1999-09-15 Published:1999-09-15
  • Supported by:
    Supported by the great project of the National Science Foundation of China,No.39393003

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被引次数

101 | 13

摘要： 卫星遥感数据的大气校正， 一直是遥感定量化研究的主要课题之一。由于许多参数不容易得到， 用大气辐射传输方程进行大气校正， 难以实现。本文提出了校正大气影响的裸沙土壤线方法。用 N O A A 气象卫星遥感数据在黄土高原地区进行了试验。结果表明， 在该地区用裸沙土壤线法校正大气影响， 方法简便， 精度高。经校正的同系列不同气象卫星的遥感数据可以相互比较。该方法可应用于干旱、半干旱地区卫星遥感数据的大气校正。

关键词: 气象卫星, 大气校正, 土壤线

Abstract: The atmospheric correction of remote sensing data is one of the main topics of quantitative remote sensing research. Bare sand soil line is adopted to correct atmospheric effects in this paper. There is an unchanged bare sand soil line in the plane reference frame shown in red band （ R ） and near infrared band （ IR ） for same bare sand soil type within a certain region. This line can be expressed: ρ R=b+a·ρ IR . Where a and b are slope and intercept respectively. There are large differences between the soil lines made up by the satellite data of bare sand and that from the corresponding ground bare sand because of atmospheric effects. Then, correct the former one to the latter. The average of R and IR, Δ R and Δ IR, can be obtained in the process of the correction. All of pixels in the satellite image are corrected with Δ R and Δ IR . This method was tested by NOAA meteorological satellite data in the Loess Plateau area. The results indicated that this method of the bare sand line for correcting atmospheric effects is simple, convenient and possess high accuracy in this region. （1） Camparing the corrected bare sand satellite data with not corrected one, the maximum relative error for the corrected one is 1.72% and 30%, the not corrected. （2） Comparing the corrected grassland satellite data with that not corrected, the maximum relative error is 1 47% for the corrected one and 72.46% for the not corrected. （3） The corrected and not corrected forest satellite data are compared with the ground data respectively. In the range of red band, 0.58～0.68 μm, the reflectance of forest on ground is 2.5%～2.8%. The corrected reflectance is 2.59%, with a range of 2.5%～2.8%, and the not corrected reflectance is 6 5%. However, the errors of the corrected water body in satellite data in IR band is large. The corrected remote sensing data from different meteorological satellite, if they are in the series, can be compared each other. This method can be applied to atmospheric correction for satellite remote sensing data in the arid and semiarid regions.

Key words: meteorological satellite, atmospheric correction, soil line

中图分类号: 

  • P407