Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product
Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product
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DOI：
10.1016/j.rse.2016.04.008
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发表时间：
2016-11-01
影响因子：
13.5
通讯作者：
Franch, Belen
中科院分区：
文献类型：
--
作者：
Vermote, Eric;Justice, Chris;Franch, Belen
为了可靠地监测地表，需要对大气气体和气溶胶的时间、空间和光谱变化的散射和吸收效应进行校正的地表反射率，即卫星获取的大气层顶(TOA)反射率。为此，地表反射率而不是TOA反射率被用来生成全球大部分土地产品，例如，从中分辨率成像光谱仪(MODIS)和可见光红外成像辐射计套件(VIIRS)传感器生成的产品。即使通过传感器设计将大气影响降至最低，大气影响仍然难以纠正。特别是，气溶胶在可见光和近红外光谱范围内的强烈影响可能很难校正，因为它们在空间和时间上可能是高度离散的(例如，烟羽)，而且由于气溶胶的复杂散射和吸收特性在光谱上变化，并随气溶胶的大小、形状、化学和密度而变化。本文介绍了陆地卫星8号业务陆地成像仪(OLI)大气校正算法，该算法是在太阳光谱矢量(6SV)模型中使用卫星信号的第二次模拟开发的，改进后的算法利用了窄的OLI光谱波段(与专题地图/增强专题地图(TM/ETM+)相比)，提高了辐射测量分辨率和信噪比。此外，该算法使用了新的OLI海岸气溶胶波段(0.433-0.450微米)，该波段比传统的陆地卫星、TM和ETM+蓝色波段覆盖的波长更短，因此对气溶胶特性的反演特别有帮助。利用OLI上提供的“卷云”波段(下午1.360-1.390)和热红外传感器(TRS)仪器的热红外波段，还开发了云和云阴影面具。通过与MODIS双向反射分布函数(BRDF)调整后的表面反射产品以及从美国表面辐射预算网络(US SURFRAD)测量得到的宽带反照率的比较，利用精确的大气校正(基于大气特性的现场测量)，分析了在气溶胶机器人网络(AERONET)站点上来自OLI的表面反射产品的性能。结果清楚地表明，Landsat 8的地表反射率产品比特别的Landsat 5/7 LEDAPS产品有更大的改善。由爱思唯尔公司出版。
The surface reflectance, i.e., satellite derived top of atmosphere (TOA) reflectance corrected for the temporally, spatially and spectrally varying scattering and absorbing effects of atmospheric gases and aerosols, is needed to monitor the land surface reliably. For this reason, the surface reflectance, and not TOA reflectance, is used to generate the greater majority of global land products, for example, from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors. Even if atmospheric effects are minimized by sensor design, atmospheric effects are still challenging to correct. In particular, the strong impact of aerosols in the visible and near infrared spectral range can be difficult to correct, because they can be highly discrete in space and time (e.g., smoke plumes) and because of the complex scattering and absorbing properties of aerosols that vary spectrally and with aerosol size, shape, chemistry and density.This paper presents the Landsat 8 Operational Land Imager (OLI) atmospheric correction algorithm that has been developed using the Second Simulation of the Satellite Signal in the Solar Spectrum Vectorial (6SV) model, refined to take advantage of the narrow OLI spectral bands (compared to Thematic Mapper/Enhanced Thematic Mapper (TM/ETM +)), improved radiometric resolution and signal-to-noise. In addition, the algorithm uses the new OLI Coastal aerosol band (0.433-0.450 mu m), which is particularly helpful for retrieving aerosol properties, as it covers shorter wavelengths than the conventional Landsat, TM and ETM + blue bands. A cloud and cloud shadow mask has also been developed using the "cirrus" band (1.360-1.390 pm) available on OLI, and the thermal infrared bands from the Thermal Infrared Sensor (TIRS) instrument. The performance of the surface reflectance product from OLI is analyzed over the Aerosol Robotic Network (AERONET) sites using accurate atmospheric correction (based on in situ measurements of the atmospheric properties), by comparison with the MODIS Bidirectional Reflectance Distribution Function (BRDF) adjusted surface reflectance product and by comparison of OLI derived broadband albedo from United States Surface Radiation Budget Network (US SURFRAD) measurements. The results presented clearly show an improvement of Landsat 8 surface reflectance product over the ad-hoc Landsat 5/7 LEDAPS product. Published by Elsevier Inc.