Mapping Forest Background Reflectance in a Boreal Region Using Multiangle Compact Airborne Spectrographic Imager Data
Mapping Forest Background Reflectance in a Boreal Region Using Multiangle Compact Airborne Spectrographic Imager Data
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DOI：
10.1109/tgrs.2009.2024756
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发表时间：
2010
影响因子：
8.2
通讯作者：
J. Pisek;J. Chen;John R. Miller;J. Freemantle;J. Peltoniemi;A. Simic
中科院分区：
文献类型：
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作者：
J. Pisek;J. Chen;John R. Miller;J. Freemantle;J. Peltoniemi;A. Simic
森林背景，包括林下植被，苔藓，凋落物和土壤，有助于显着的光学遥感信号在北方地区的森林。在本文中，我们提出的结果，背景反射率反演从多角度高分辨率紧凑型机载光谱成像仪传感器数据在北部森林地区萨德伯里附近，ON，加拿大。在两个地点由白色和黑色塑料片对背景的修改为用于从多角度数据检索背景信息的算法的开发和测试提供了两个极端限制。测量的背景反射率在红色和近红外波段在六个站点在这些修改后的网站附近被用来验证该算法。我们还探讨了这种检索的输入森林结构参数的不确定性的影响。成果文件：1）该算法对不同林分条件（特别是在低到中等郁闭度范围内）反演有意义的背景反射率值的能力; 2）背景双向反射分布函数对反演值的影响; 3）该算法使用具有不同交叉角值的数据的性能;以及4）验证所使用的几何光学4尺度模型的内部一致性。研究结果为利用多角度成像光谱仪观测到的双向反射数据估算植被背景反射率提供了一个重要平台。
Forest background, consisting of understory, moss, litter, and soil, contributes significantly to optical remote sensing signals from forests in the boreal region. In this paper, we present results of background reflectance retrieval from multiangle high-resolution Compact Airborne Spectrographic Imager sensor data over a boreal forest area near Sudbury, ON, Canada. Modifications of the background by white and black plastic sheets at two sites provide two extreme limits for the development and testing of an algorithm for retrieving the background information from multiangle data. Measured background reflectances in red and near-infrared bands at six sites in the vicinity of these modified sites are used to validate the algorithm. We also explore the effect of uncertainties in the input forest structural parameters on this retrieval. The results document: 1) capability of the algorithm to retrieve meaningful background reflectance values for various forest stand conditions, particularly in the low to intermediate canopy density range; 2) the effect of background bidirectional reflectance distribution function on retrieved values; 3) performance of the algorithm using data with different cross angle values; and 4) verification of the internal consistency of the geometric-optical 4-Scale model used. The results provide an important platform for the operational estimation of the vegetation background reflectance from the bidirectional reflections observed by the Multiangle Imaging Spectroradiometer instrument.