Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at $412 nm$

Min Oo, Marco Vargas, Alex Gilerson, Barry Gross, Fred Moshary, and Sam Ahmed

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
Min Oo, Marco Vargas, Alex Gilerson, Barry Gross, Fred Moshary, and Sam Ahmed, "Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at 412 nm," Appl. Opt. 47, 3846-3859 (2008)

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Check for updates

Related Topics
Table of Contents Category
- Atmospheric and Ocean Optics
Optics & Photonics Topics
?

The topics in this list come from the Optics and Photonics Topics applied to this article.

About this Article
History
- Original Manuscript: September 19, 2007
- Revised Manuscript: May 12, 2008
- Manuscript Accepted: May 13, 2008
- Published: July 16, 2008
Virtual Issues
Virtual Journal for Biomedical Optics Vol. 3, Iss. 8

Abstract

The recently developed short wave infrared (SWIR) atmospheric correction algorithm for ocean color retrieval uses long wavelength channels to retrieve atmospheric parameters to avoid bright pixel contamination. However, this retrieval is highly sensitive to errors in the aerosol model, which is magnified by the higher variability of aerosols observed over urban coastal areas. While adding extra regional aerosol models into the retrieval lookup tables would tend to increase retrieval error since these models are hard to distinguish in the IR, we explore the possibility that for highly productive waters with high colored dissolved organic matter, an estimate of the $412 nm$ channel water-leaving reflectance can be used to constrain the aerosol model retrieval and improve the water-leaving reflectance retrieval. Simulations show that this constraint is particularly useful where aerosol diversity is significant. To assess this algorithm we compare our retrievals with the operational SeaWiFS Data Analysis System (SeaDAS) SWIR and near infrared retrievals using in situ validation data in the Chesapeake Bay and show that, especially for absorbing aerosols, significant improvement is obtained. Further insight is also obtained by the intercomparison of retrieved remote sensing reflectance images at 443 and $551 nm$ , which demonstrates the removal of anomalous artifacts in the operational SeaDAS retrieval.

Full Article | PDF Article

More Like This

Revisiting short-wave-infrared (SWIR) bands for atmospheric correction in coastal waters

Nima Pahlevan, Jean-Claude Roger, and Ziauddin Ahmad
Opt. Express 25(6) 6015-6035 (2017)

Enhanced POLYMER atmospheric correction algorithm for water-leaving radiance retrievals from hyperspectral/multispectral remote sensing data in inland and coastal waters

Murugan Karthick, Palanisamy Shanmugam, and Xianqiang He
Opt. Express 32(5) 7659-7681 (2024)

UV-NIR approach with non-zero water-leaving radiance approximation for atmospheric correction of satellite imagery in inland and coastal zones

Rakesh Kumar Singh, Palanisamy Shanmugam, Xianqiang He, and Thomas Schroeder
Opt. Express 27(16) A1118-A1145 (2019)

Previous Article Next Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (18)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (4)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (8)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Variable Name	Symbol	Range
Wavelength	λ	( $400 ∶ 10 ∶ 900$ , 1240, 1650, 2130)
Sensor viewing angle	$θ_{V}$	(0, 15, 30, 45, 60)
Solar angle	$θ_{S}$	(0, 15, 30, 45, 60)
Azimuth	φ	(0, 45, 90, 180)
Aerosol optical thickness	τ	( $0.05 ∶ 0.05 ∶ 0.5$ )

Band	Wavelength (nm)	$NE Δ ρ$
8	412	$1 {. 818 \times 10}^{- 4}$
9	443	$1 {. 019 \times 10}^{- 4}$
10	488	$8 {. 10 \times 10}^{- 5}$
11	531	$6 {. 01 \times 10}^{- 5}$
12	551	$6 {. 38 \times 10}^{- 5}$
13	667	$3 {. 39 \times 10}^{- 5}$
14	678	$2 {. 93 \times 10}^{- 5}$
15	748	$4 {. 63 \times 10}^{- 5}$
16	869	$4 {. 08 \times 10}^{- 5}$
5	1240	$5 {. 069 \times 10}^{- 4}$
6	1650	$3 {. 618 \times 10}^{- 4}$
7	2130	$2 {. 967 \times 10}^{- 4}$

Atmospheric Correction		Constraint Used	Uncertainty (%)
Atmospheric Correction Method	Atmospheric LUTs Used	Constraint Used	Band $443 nm$	Band $488 nm$	Band $551 nm$
Traditional NIR	Sea DAS	10% bright pixel compensation	25	13	4
Traditional NIR	$SeaDAS + AERONET$	10% bright pixel compensation	120	50	10
SWIR	SeaDAS	No constraint at $412 nm$	20	10	3
SWIR	SeaDAS	$2 σ ρ_{w n} (412)$ $ρ_{w n} (412) = . 005 \pm . 005$	20	10	3
SWIR	SeaDAS	$1 σ ρ_{w n} (412)$ $ρ_{w n} (412) = . 005 \pm . 003$	18	8	3
SWIR	$SeaDAS + AERONET$	No constraint at $412 nm$	90	35	10
SWIR	$SeaDAS + AERONET$	$2 σ ρ_{w n} (412)$ $ρ_{w n} (412) = . 005 \pm . 005$	40	15	5
SWIR	$SeaDAS + AERONET$	$1 σ ρ_{w n} (412)$ $ρ_{w n} (412) = . 005 \pm . 003$	15	8	3

	Date	Time	Latitude	Longitude	In Situ Rrs Values		Satellite Rrs Values (SeaDAS)
	Date	Time	Latitude	Longitude	Rrs 412	Rrs 443	NIR 412	NIR 443	SWIR 412	SWIR 443
1	19 July 2002	18:35:00	37.92	$- 76.19$	$4.88 E - 04$	$7.65 E - 04$			$1.39 E - 04$	$2.46 E - 04$
2	2 October 2002	16:50:00	39.25	$- 76.24$	$9.52 E - 04$	$1.66 E - 03$			$- 4.70 E - 04$	$- 5.60 E - 04$
3	2 October 2002	18:47:00	39.00	$- 76.36$	$3.20 E - 04$	$4.92 E - 04$			$- 2.52 E - 03$	$- 1.97 E - 03$
4	2 October 2002	20:25:00	38.80	$- 76.45$	$4.03 E - 04$	$5.25 E - 04$	$- 7.50 E - 04$	$- 1.90 E - 04$	$8.50 E - 04$	$1.39 E - 03$
5	31 March 2003	14:50:00	39.34	$- 76.18$	$2.24 E - 04$	$5.88 E - 04$			$- 6.93 E - 05$	$- 4.75 E - 05$
6	31 March 2003	19:30:00	39.00	$- 76.37$	$1.49 E - 04$	$5.61 E - 04$			$1.90 E - 03$	$3.13 E - 03$
7	31 March 2003	21:10:00	38.80	$- 76.44$	$2.95 E - 04$	$7.66 E - 04$	$- 2.58 E - 03$	$- 1.49 E - 03$	$- 2.41 E - 03$	$- 1.18 E - 03$
8	3 October 2003	13:28:00	37.27	$- 76.15$	$1.54 E - 03$	$2.17 E - 03$	$- 1.17 E - 03$	$- 2.70 E - 04$	$7.20 E - 04$	$1.74 E - 03$
9	3 October 2003	16:31:00	37.58	$- 76.17$	$1.11 E - 03$	$1.64 E - 03$	$- 1.67 E - 03$	$- 7.30 E - 03$	$- 3.29 E - 03$	$- 2.48 E - 03$
10	3 October 2003	22:15:00	38.26	$- 76.34$	$5.09 E - 04$	$1.04 E - 03$	$- 4.54 E - 03$	$- 2.60 E - 03$	$- 6.11 E - 03$	$- 4.24 E - 03$
11	27 May 2005	15:40:00	36.91	$- 75.94$	$2.71 E - 03$	$3.43 E - 03$	$2.52 E - 03$	$3.05 E - 03$	$6.28 E - 03$	$6.91 E - 03$
12	27 May 2005	17:40:00	36.84	$- 75.88$	$3.24 E - 03$	$4.53 E - 03$	$1.44 E - 03$	$1.98 E - 03$	$5.76 E - 03$	$6.43 E - 03$
13	27 May 2005	19:09:00	36.83	$- 75.82$	$2.69 E - 03$	$3.69 E - 03$	$3.05 E - 03$	$3.84 E - 03$	$8.91 E - 03$	$9.55 E - 03$
14	27 May 2005	19:26:00	36.86	$- 75.78$	$2.89 E - 03$	$3.88 E - 03$	$3.61 E - 03$	$4.44 E - 03$	$9.36 E - 03$	$1.01 E - 02$
15	26 July 2005	13:32:00	37.48	$- 75.53$	$2.39 E - 03$	$3.06 E - 03$			$1.22 E - 02$	$1.27 E - 02$
16	26 July 2005	15:49:00	37.17	$- 75.39$	$2.51 E - 03$	$2.80 E - 03$	$2.81 E - 03$	$2.84 E - 03$	$1.22 E - 02$	$1.16 E - 02$
17	26 July 2005	18:33:00	37.09	$- 75.71$	$2.27 E - 03$	$2.87 E - 03$	$5.00 E - 04$	$5.90 E - 04$	$1.25 E - 02$	$1.26 E - 02$

Variable Name	Symbol	Range
Wavelength	λ	( $400 ∶ 10 ∶ 900$ , 1240, 1650, 2130)
Sensor viewing angle	$θ_{V}$	(0, 15, 30, 45, 60)
Solar angle	$θ_{S}$	(0, 15, 30, 45, 60)
Azimuth	φ	(0, 45, 90, 180)
Aerosol optical thickness	τ	( $0.05 ∶ 0.05 ∶ 0.5$ )

Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at 412 nm

Author Affiliations

Abstract

Cited By

Figures (18)

Tables (4)

Equations (8)

Applied Optics

Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at $412 nm$