Download
1 / 24
240 likes | 283 Views
Glint. ...No problem. The remotely sensed signal [ R (0, z )] is a function of bottom composition ( A ), water column composition ( R ∞ , K ) and water depth ( z ). Generally, all are unknowns. Implicit Water Column Correction: Classify the combined water-leaving radiance signal
E N D
Glint... ...No problem
The remotely sensed signal [R(0,z)] is a function of bottom composition (A), water column composition (R∞, K) and water depth (z). Generally, all are unknowns.
Implicit Water Column Correction: Classify the combined water-leaving radiance signal Requires spectral library that encompasses variabilities of both water column and bottom-type Louchard et al. (2003), Mobley et al. (2005) propose Euclidean distance spectrum-matching approach using modeled spectra This study: multivariate classifer approach using measured spectra
Model Results To depths ~20 m, correct classification rates >80% Increased chl → correct classification rates >90% Field Results Forthcoming. . .
Explicit Water Column Correction: Remove water column effects, then classify Requires inversion of remotely sensed signal to determine seafloor spectral reflectance, as well as library of reflectance spectra Many, many proposed approaches This study: empirical decorrelation from depth, based on Conger et al. (2006)
