Improved estimates of bio-optical parameters in optically complex water using hyperspectral remote sensing data. Issue 8 (18th April 2021)

• Record Type: Journal Article
• Authors: Ali, Syed Moosa; Gupta, Anurag; Raman, Mini; Sahay, Arvind; Motwani, Gunjan; Muduli, Pradipta R.; Krishna, Ashwathy Vijaya; Tirkey, Anima
• Is Part Of: International journal of remote sensing. Volume 42:Issue 8(2021)
• Page Start: 3056
• Page End: 3073
• Publication Date: 2021-04-18
• Subjects: Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2020.1865585
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: In this study, bio-optical parameters were derived from hyperspectral data of optically complex waters using spectrum matching technique (SMT). Models for inherent optical properties (IOPs) of the water column were tuned using in-situ dataset from the study area (i.e., Chilika lagoon). Constructed IOPs were used to simulate remote sensing reflectance ( R r s ) spectra at 60 wavelengths (equally spaced between 400 and 700 nm) using radiative transfer solution provided by Hydrolight-Ecolight software (HE53). Results of the simulation were stored as a R r s – IOP look up table (LUT). To check the accuracy, in-situ measured R r s were compared with those from the LUT. Retrieved values of two bio-optical parameters i.e., chlorophyll-a concentration (Chl- a ) and coloured dissolved organic matter (CDOM)+Detritus absorption coefficient at 440 nm ( a d g ( 440 ) ) were compared with corresponding in-situ measurements to get good statistical match. Coefficient of determination ( R 2 ) and root mean squared error (RMSE) were 0.80 and 2.66 mg m − 3 respectively for Chl- a, whereas 0.77 and 0.23 m − 1 respectively for a d g ( 440 ) . These parameters were also retrieved using two commonly used semi-analytical inversion algorithms (SAA)- (a) Linear matrix inversion (LMI) and (b) Garver-Siegal Maritorena (GSM). Both the SAA showed poor performance. R 2 for Chl- a from GSM and LMI were 0.13 and 0.41, respectively, with RMSE of 6.85 mg m − 3 and 4.82 mg m − 3 respectively. For a d g ( 440 ), the value of R 2 from GSM and LMI were 0.87 and 0.71, respectively, but with a high RMSE of 0.91 m − 1 and 0.81 m − 1 respectively. SMT was applied to airborne hyperspectral AVIRIS-NG (Airborne Visible/Infrared Imaging Spectrometer Next Generation) dataset of Chilika lake to derive pixel-wise chlorophyll-a concentration and the magnitude of CDOM+Detritus absorption coefficient at 440 nm ( a d g ( 440 ) ). Spatial variability of these parameters in its different domains (i.e. Northern-, Central- and Southern-region of the lake) have been addressed.