Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color

被引：3

作者：

Hannadige, Neranga K. ^{[1
]}

Zhai, Peng-Wang ^{[1
]}

Werdell, P. Jeremy ^{[2
]}

Gao, Meng ^{[2
,3
]}

Franz, Bryan A. ^{[2
]}

Knobelspiesse, Kirk ^{[2
]}

Ibrahim, Amir ^{[2
]}

机构：

[1] Univ Maryland Baltimore Cty, Joint Ctr Earth Syst Technol, Dept Phys, 1000 Hilltop Circle, Baltimore, MD 21250 USA

[2] NASA, Goddard Space Flight Ctr, Code 616, Greenbelt, MD 20771 USA

[3] Sci Syst & Applicat Inc, Greenbelt, MD 20706 USA

来源：

APPLIED OPTICS | 2023年 / 62卷 / 13期

基金：

美国国家科学基金会; 美国国家航空航天局;

关键词：

INHERENT OPTICAL-PROPERTIES; WATER-LEAVING RADIANCE; MULTIANGULAR POLARIMETRIC MEASUREMENTS; RESEARCH SCANNING POLARIMETER; ATTENUATION COEFFICIENT; CHLOROPHYLL ALGORITHMS; JOINT RETRIEVAL; AEROSOL; COASTAL; INVERSION;

D O I：

10.1364/AO.484082

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We investigated the optimal number of independent parameters required to accurately represent spectral remote sensing reflectances (R,.s) by performing principal component analysis on quality controlled in situ and synthetic R,.s data. We found that retrieval algorithms should be able to retrieve no more than four free parameters from R,.s spectra for most ocean waters. In addition, we evaluated the performance of five different bio-optical models with different numbers of free parameters for the direct inversion of in-water inherent optical properties (IOPs) from in situ and synthetic R,.s data. The multi-parameter models showed similar performances regardless of the number of parameters. Considering the computational cost associated with larger parameter spaces, we recommend bio-optical models with three free parameters for the use of IOP or joint retrieval algorithms. (c) 2023 Optica Publishing Group

引用

页码：3299 / 3309

页数：11

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