Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research
Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research
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DOI：
10.1080/01431160110109642
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发表时间：
2002-07-10
影响因子：
3.4
通讯作者：
Moran, E
中科院分区：
文献类型：
--
作者：
Lu, D;Mausel, P;Moran, E
在许多遥感应用中，大气校正是一个重要的前处理步骤。作者参与了NASA/INPE的大规模亚马逊生物圈-大气实验(LBA)计划中的“亚马逊的人类维度：森林再生和景观结构”项目。该项目需要使用修正的陆地卫星TM数据，因为研究重点将地面数据和TM结合起来：(1)测量和模拟生物量；(2)对次生演替的多个阶段进行分类；(3)模拟土地复盖/土地利用的变化；(4)得出不同研究地区一致的光谱特征。TM数据的30多个场景是历史数据，缺乏基于物理的大气校正模型所需的详细大气数据，例如6S(太阳光谱中卫星信号的第二次模拟)。基于图像的DOS模型是基于图像测量的，本文探讨了该模型在LBA研究领域的应用。分别利用理论光谱辐射度和图像采集数据两种方法将TMDN值转换为卫星辐射度。使用了三种基于图像的模型，每种方法都将卫星辐射转换为表面反射率。对这六种不同的基于图像的模型进行了分析。在这项LBA研究中，改进的基于图像的DOS是校正大气影响的最佳技术，其结果与基于物理的方法获得的结果相似。
Atmospheric correction is an important preprocessing step required in many remote sensing applications. The authors are engaged in the project 'Human Dimensions of Amazonia: Forest Regeneration and Landscape Structure' in NASA/INPE's Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) programme. This project requires use of corrected Landsat TM data since research foci integrate ground-based data and TM to: (1) measure and model biomass; (2) classify Multiple stages of secondary succession; (3) model land cover/land use changes; and (4) derive spectral signatures consistent across different study areas. The 30+ scenes of TM data are historic and lack detailed atmospheric data needed by physically-based atmospheric correction models such as 6S (Second Simulation of the Satellite Signal in the Solar Spectrum). Image-based DOS models are based on image measurements and explored in this article for application to LBA study areas. Two methods using theoretical spectral radiance and image acquisition date respectively were used to convert TM DN values to at-satellite radiance. Three image-based models were employed using each method to convert at-satellite radiance to surface reflectance. Analyses of these six different image-based models were conducted. The Improved Image-based DOS was the best technique for correcting atmospheric effects in this LBA research with results similar to those obtained from physically-based approaches.