| 基于短波红外波段的乌梁素海Landsat-8 OLI数据大气校正 |
| 投稿时间：2016-12-14 修订日期：2016-12-22 点此下载全文 |
| 引用本文：青松,包玉海,郝艳玲.基于短波红外波段的乌梁素海Landsat-8 OLI数据大气校正[J].红外,2017,38(3):21~30 |
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| 基金项目:国家自然科学基金项目(61265008)；内蒙古自然科学基金项目(2012MS0608) |
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| 中文摘要:采用基于短波红外波段的Vanhellemont和Ruddick算
法对乌梁素海水体的Landsat-8业务陆地成像仪(Operational Land Imager, OLI)数
据进行了大气校正。用该算法得到的OLI反射率与ENVI Flaash大气校正结果
之间具有很好的一致性，且R2为0.8。经大气校正后得到的OLI反射率与实测值
吻合得较好，而且483 nm、561 nm和655 nm波段的误差在19.3%～36.5%之
间，表明该算法适用于乌梁素海水体。基于时间序列OLI数据，得到了
悬浮物浓度的时空分布特征。乌梁素海的悬浮物浓度反演结果存在一定
的不确定性，其主要原因是底质、沉水植物和藻华对离水反射率有很
大影响。 |
| 中文关键词:短波红外 Landsat-8 大气校正 乌梁素海 |
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| Atmospheric Correction of Landsat-8 OLI Data for Wuliangsuhai Lake Based on SWIR Bands |
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| Abstract:Atmospheric correction of the data
about Wuliangsuhai Lake from the Operational Land
Imager (OLI) onboard Landsat-8 was carried out by using
the Vanhellemont & Ruddick algorithm based on shortwave
infrared bands. The OLI reflectance derived by this
algorithm agreeded well with that from the ENVI Flaash
model. Its correlation coefficient was 0.8. The OLI
reflectance derived after atmospheric correction was
well consistent with the measured value. Their errors
at the wavelengths of 483 nm, 561 nm and 655 nm were in
the range from 19.3% to 36.5%. This showed that this
algorithm was suitable for Wuliangsuhai Lake. On the
basis of time series data from the OLI onboard Landsat-8, the
temporal and spatial distribution characteristics of suspended
particulate matter concentration were obtained. However, there
existed some uncertainties in the retrieval result of suspended
particulate matter concentration in Wuliangsuhai Lake. The main
reason was that the reflectance from the bottom, submerged
vegetation and algae bloom in the lake had great influences
on the water leaving reflectance. |
| keywords:SWIR Landsat-8 atmospheric correction Wuliangsuhai Lake |
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