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A field goniometer system (FIGOS) for acquisition of hyperspectral BRDF data

机译:用于获取高光谱BRDF数据的现场测角仪系统(FIGOS)

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摘要

A new field goniometer system (FIGOS) is introduced that allows in situ measurements of hyperspectral bidirectional reflectance data under natural illumination conditions. Hyperspectral bidirectional reflectance distribution function (BRDF) data sets taken with FIGOS nominally cover the spectral range between 300 and 2450 nm in 704 bands. Typical targets are small-growing, dense, and homogeneous vegetation canopies, man-made surfaces, and soils. Field BRDF data of a perennial ryegrass surface reveal a strong spectral variability. In the blue and red chlorophyll absorption bands, BRDF effects are strong. Less-pronounced bidirectional reflectance effects are observed in the green and in most of the near-infrared range there surface reflectance is high. An anisotropy index (ANIX), defined as the ratio between the maximum and minimum bidirectional reflectance over the hemisphere, is introduced as a surrogate measurement for the extent of spectral BRDF effects. The ANIX data of the ryegrass surface show a very high correlation with nadir reflectance due to multiple scattering effects. Since canopy geometry, multiple scattering, and BRDF effects are related, these findings may help to derive canopy architecture parameters, such as leaf area index (LAI) or leaf angle distribution (LAD) from remotely sensed hyperspectral BRDF data. Furthermore, they show that normalized difference vegetation index (NDVI) data are strongly biased by the spectral variability of BRDF effects.
机译:引入了一种新的测角仪系统(FIGOS),该系统可在自然光照条件下现场测量高光谱双向反射率数据。用FIGOS拍摄的高光谱双向反射率分布函数(BRDF)数据集名义上覆盖了704个波段中300至2450 nm之间的光谱范围。典型目标是生长小,茂密且均质的植被冠层,人造表面和土壤。多年生黑麦草表面的野外BRDF数据显示出很强的光谱变异性。在蓝色和红色叶绿素吸收带中,BRDF的作用很强。在绿色中观察到的双向反射效应不那么明显,在大多数近红外范围内,表面反射率很高。引入各向异性指数(ANIX),定义为半球上最大和最小双向反射率之间的比率,作为光谱BRDF效应程度的替代度量。由于多重散射效应,黑麦草表面的ANIX数据与最低点反射率具有很高的相关性。由于冠层的几何形状,多重散射和BRDF效果相关,因此这些发现可能有助于从遥感高光谱BRDF数据中得出冠层的结构参数,例如叶面积指数(LAI)或叶角分布(LAD)。此外,他们表明归一化差异植被指数(NDVI)数据受到BRDF效应的光谱变异性的强烈偏见。

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