![]() raw TM1 prominent dark shadow hence a strong Lwblue normalized Lwblue=14.1 | ![]() raw TM2 faint shadow hence a weak Lwgreen normalized Lwgreen=3.5 | ![]() raw TM3 no shadow?? hence a null Lwred Lwred=0.0 | ![]() no shadow hence a null Lwnir Lwnir=0.0 |
Lyzenga's![]() Lyzenga et al 2006: figure 15 for the Blue vs Green pair I have rotated this image It now shows Xblue vs Xgreen Kblue=0.0561 Kgreen=0.736 Kblue/Kgreen=0.762 Isobath lines are clearly curved.
| 4SM![]() 4SM optical model for the Blue vs Green pair It shows Xblue vs Xgreen Kblue/Kgreen=0.76 Thick blue: the brightest pixels line is shown. All iso-bottom lines are straight and parallel to the BPL line. Star: the brightest bottom type at null depth is represented by the big star symbol. |
The authors write: "Clearly, there is a wide variation of the signals within each of these depth intervals, which could be caused by variations in either the water optical properties or the bottom composition" | From right to left, isobath lines are shown for 0, 5, 10, 15, 20 and 25 m. The difference Lwblue-Lwgreen determines their curvature, even in the absence of "variations in either the water optical properties or the bottom composition". |
For the Red vs NIR case, because Lw is next to null in both bands, the Z=0 isobath goes through the origin of this plot, and all isobath lines are straight and parallel lines. |
![]() Area sampled for the bi-dimensional histograms includes Dry Tortugas and Mooney Harbor | ![]() Land areas are shown in yellow Deep water area is shown in red |
![]() Land areas in Dry Tortugas area for bands 2, 3, 5 and 6 (blue, green, red, NIR) from bright beach coral sands/rubbles to dark mangrove vegetation. Includes a small area over optically deep waters. Please note where the deep water pixels plot, relative to land pixels. | ![]() Land areas in Dry Tortugas area for bands 1, 2, 4 and 6 (purple, blue, PAN, NIR) from bright beach coral sands/rubbles to dark mangrove vegetation. Includes a small area over optically deep waters. Please note where the deep water pixels plot, relative to land pixels. |
Knowing that
we now have enough information to specify the Soil Line for all pairs of bands Choosing the values for La (or Lw) is a tradeoff which must result in a consistent system in accordance with the basics of physical realities | In a bi-dimensional histogram, the Soil Line runs
The Soil Line
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![]() Optical model over Land areas in Dry Tortugas area for bands 6, 5, 3, 2 from bright beach coral sands/rubbles to dark mangrove vegetation. | ![]() Optical model over Land areas in Dry Tortugas area for bands 6, PAN, 2 and 1 Note that the PAN band is fuzzy (is it a co-registration problem?) |
For OLI data, LM, La and Lw values are easily converted into RM, Ra and Rw reflectance: we get the following for this calibration:
| Use of the Soil Line Upon inversion of the simplified radiative transfer equation, he SOIL Line is used as a reference at null depth:
What is important
What is at stake
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![]()
| amounts to using existing depth sounding points to specify a straight Soil Line in the linearized bi-dimensional space: X1=m0+m1*X2 where Z=0 m0=-A/a m1=-b/a X1=ln(LB1-Lw1) at null depth X2=ln(LB2-Lw2) at null depth LB1=LsB1-La1 BOA radiance LB2=LsB2-La2 BOA radiance THIS IGNORES THE ROLE OF WATER VOLUME REFLECTANCE
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WHAT 4SM DOES
| WHAT IS IMPORTANT
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Path radiance La in 4SM
Water volume reflectance Lw in 4SM
The Soil Line in 4SM
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![]() Vegetation Line at Caicos Bank, Bahamas |