| 模型ID： | M00036 | ||||||
| 模型名称： | BRDF_QAA | ||||||
| 模型编码者： |
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| 模型关键字： | BRDF、QAA、water、forward model | ||||||
| 模型类型： | 水体光学遥感 | ||||||
| 模型最后修改日期： | 2013/7/15 0:00:00 | ||||||
| 模型提交日期： | 2013/7/15 0:00:00 | ||||||
| 模型摘要： | 根据指定水体组成成份（浮游植物色素、黄色物质和碎屑、粒子）吸收系数和回向散射系数，计算遥感反射率 | ||||||
| 公式： |
| 1 |
名称：太阳天顶角
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参数类型：double
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物理意义：太阳天顶角（度）
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| 2 |
名称：观测天底角
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参数类型：double
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物理意义：观测天底角（度）
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| 3 |
名称：观测相对方位角
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参数类型：double
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物理意义：观测相对方位角（度）
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| 4 |
名称：浮游植物440nm吸收系数
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参数类型：double
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物理意义：浮游植物色素在440nm吸收系数（m^-1）
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| 5 |
名称：CDOM and detritus 440nm吸收系数
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参数类型：double
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物理意义：黄色物质（CDOM）和碎屑（detritus）在440nm吸收系数（m^-1）
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| 6 |
名称：粒子550nm回向散射系数
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参数类型：double
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物理意义：粒子（particle）在550nm回向散射系数（m^-1）
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| 7 |
名称：粒子回向散射系数衰减指数
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参数类型：int
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物理意义：粒子（particle）在550nm回向散射系数衰减系数
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| 标题： | An inherent-optical-property-centered approach to correct the angular effects in water-leaving radiance | ||||||||||||||||||||||||
| 文献作者： |
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| 文献引用： | APPLIED OPTICS | ||||||||||||||||||||||||
| 文献摘要: | Remote-sensing reflectance (Rrs), which is defined as the ratio of water-leaving radiance (Lw) to downwelling irradiance just above the surface (Ed(0+)), varies with both water constituents (including bottom properties of optically-shallow waters) and angular geometry. Lw is commonly measured in the field or by satellite sensors at convenient angles, while Ed(0+) can be measured in the field or estimated based on atmospheric properties. To isolate the variations of Rrs (or Lw) resulting from a change of water constituents, the angular effects of Rrs (or Lw) need to be removed. This is also a necessity for the calibration and validation of satellite ocean color measurements. To reach this objective, for optically-deep waters where bottom contribution is negligible, we present a system centered on water’s inherent optical properties (IOPs). It can be used to derive IOPs from angular Rrs and offers an alternative to the system centered on the concentration of chlorophyll. This system is applicable to oceanic and coastal waters as well as to multiband and hyperspectral sensors. This IOP-centered system is applied to both numerically simulated data and in situ measurements to test and evaluate its performance. The good results obtained suggest that the system can be applied to angular Rrs to retrieve IOPs and to remove the angular variation of Rrs. |
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