Temporal Variation in Surface Bidirectional Reflectance of the Railroad Valley Vicarious Calibration Test Site in Nevada

IF 2 4区 地球科学 Q3 REMOTE SENSING
Nicole Byford, C. Coburn
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引用次数: 2

Abstract

Abstract Spectral reflectance-based vicarious calibration (VicCal) requires accurate characterization of the bidirectional reflectance distribution function (BRDF) of the ground-based target. Railroad Valley (RRV) Playa, Nevada, has been used as a VicCal test site since 1995 as it is large, appears stable over time, and has a reasonably consistent surface. This study presents the results of a diurnal measurement cycle that closely replicated illumination geometries for Earth Observing (EO) satellites over a year. By measuring the rate of change of the BRDF with respect to time, we recorded the range of BRDF effects while holding the surface constant with respect to moisture and surface condition variation. The rate of spectral reflectance change increased rapidly with view angle in the backscatter direction, reaching rates of change that are 2.3 and 10.5 times greater in the backscatter than in the forward scatter direction for view angles of 20° and 40°, respectively. The results show that larger off-nadir viewing angles in the backscatter direction are particularly sensitive to changes in solar/view geometries.
内华达州铁路谷副校准试验场表面双向反射的时间变化
摘要基于光谱反射率的替代校准(VicCal)需要精确表征地基目标的双向反射率分布函数(BRDF)。内华达州铁路谷(RRV)普拉亚自1995年以来一直被用作VicCal试验场,因为它很大,随着时间的推移看起来很稳定,并且表面相当一致。这项研究展示了一个昼夜测量周期的结果,该周期在一年内密切复制了地球观测(EO)卫星的照明几何形状。通过测量BRDF随时间的变化率,我们记录了BRDF效应的范围,同时保持表面相对于湿度和表面条件变化的恒定。光谱反射率的变化率随着后向散射方向的视角而迅速增加,在20°和40°的视角下,后向散射的变化率分别是前向散射的2.3倍和10.5倍。结果表明,反向散射方向上较大的偏离最低点视角对太阳/视图几何形状的变化特别敏感。
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来源期刊
自引率
3.80%
发文量
40
期刊介绍: Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.
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