| Model ID: | M00036 | ||||||
| Model Name: | BRDF_QAA | ||||||
| Encoders: |
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| Key words: | BRDF、QAA、water、forward model | ||||||
| Model Type: | Quasi-analytical model | ||||||
| Latest Modified: | 2013/7/15 0:00:00 | ||||||
| Submission Date: | 2013/7/15 0:00:00 | ||||||
| Abstract: | Compute the remote sensing reflectance based on absorption and back scattering coefficients of water (e.g., phytoplankton, colored dissolved organic matter, detritus, and particles) | ||||||
| Equation: |
| 1 |
Name: Solar zenith angle
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Parameter type: double
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Physic Entity: Solar zenith angle
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| 2 |
Name: View nadir angle
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Parameter type: double
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Physic Entity: View nadir angle
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| 3 |
Name: View azimuth angle
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Parameter type: double
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Physic Entity: View azimuth angle
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| 4 |
Name: Absorption coefficient of phytoplankton at 440nm
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Parameter type: double
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Physic Entity: Absorption coefficient of phytoplankton at 440nm aph(440)（m^-1）
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| 5 |
Name: Absorption coefficients of CDOM and detritus at 440nm
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Parameter type: double
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Physic Entity: Absorption coefficient of phytoplankton at 440nm aph(440)（m^-1）
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| 6 |
Name: Back-scattering coefficient of particles at 550nm
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Parameter type: double
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Physic Entity: Back-scattering coefficient of particles at 550nm bbp(550)（m^-1）
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| 7 |
Name: Back-scattering parameter of particles
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Parameter type: int
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Physic Entity: Back-scattering parameter of particles Y
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| Title: | An inherent-optical-property-centered approach to correct the angular effects in water-leaving radiance | ||||||||||||||||||||||||
| Authors: |
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| Cited by: | APPLIED OPTICS | ||||||||||||||||||||||||
| Abstract: | 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. |
Equation