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引用本文:阿如汗,青 松,包玉海.Landsat-8 OLI卫星数据的大气校正检验及其应用[J].海洋科学,2018,42(6):107-115.
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Landsat-8 OLI卫星数据的大气校正检验及其应用
阿如汗1, 青 松1, 包玉海1,2
1.内蒙古师范大学 地理科学学院;2.内蒙古自治区遥感与地理信息系统重点实验室
摘要:
本文检验了Vanhellemont和Ruddick算法在浑浊的海洋沿岸水体中的适用性。采用基于Vanhellemont和Ruddick算法对2013—2015年黄河口水体的landsat-8 OLI数据进行大气校正, 该算法得到的OLI反射率与黄河口高光谱实测反射率较一致, R为0.95, 在483 nm(蓝)、561 nm(绿)、655 nm(红)波段处平均相对误差为16.4%、17.3%和25.7%。MODIS和Landsat-8 OLI数据获取的悬浮物浓度之间一致性较好, R为0.85, 平均相对误差为20.5%, 表明该算法适用于黄河口水体。基于时间序列OLI数据, 得到了悬浮物浓度时空分布特征。 黄河口悬浮物浓度变化差异主要由风速和输沙量引起的, 风速和输沙量对悬浮物浓度的影响存在一定的时间滞后现象。
关键词:  大气校正  Landsat-8 OLI  算法校验  黄河口
DOI:10.11759/hykx20171101001
分类号:
基金项目:国家自然科学基金(61265008)和内蒙古自然科学基金(2012MS0608)
The inspection and application of atmospheric correction algorithm in Landsat-8 OLI data
A Ru-han,QING Song,BAO Yu-hai
Abstract:
In this paper, Vanhellemont & Ruddick algorithm was tested in the turbid coastal water. Atmospheric correction of the landsat-8 OLI data in the Yellow River Estuary from 2013-2015 was carried out by using the Vanhellemont & Ruddick algorithm. The OLI reflectance derived from this algorithm was well consistent with the measured hyperspectral data. Its correlation coefficient was 0.95, with the error of 16.4%、17.3% and 25.7% at the wavelength of 483nm, 561nm and 655nm respectively. The concentration of suspended particulate matter obtained from the MODIS was correlated with that from Landsat-8 OLI data, with R of 0.85 and error of 20.5%. This was indicated that this algorithm was suitable for the landsat-8 OLI data in the Yellow River Estuary. On the basis of the time series data from the Landsat-8 OLI, the spatial and temporal distribution characteristics of the suspended particulate concentration were obtained. The spatial temporal changes of SPM mainly was induced by wind speed and river sediment runoff. There was time lag between the suspended particulate matter concentration and sediment runoff and wind speed.
Key words:  atmospheric correction  landsat-8 OLI  algorithm calibration  Huanghe estuary
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