Retrieval of Chlorophyll-a using satellite and ground spectral data in Japanese and Sri Lankan water bodies

D.D.G. L. Dahanayaka; Hideyuki Tonooka; M.J. S. Wijeyaratne; Atsushi Minato; Satoru Ozawa

doi:10.1117/12.977359

21 November 2012 Retrieval of chlorophyll-a using satellite and ground spectral data in Japanese and Sri Lankan water bodies

D.D.G. L. Dahanayaka, Hideyuki Tonooka, M.J. S. Wijeyaratne, Atsushi Minato, Satoru Ozawa

Author Affiliations +

Proceedings Volume 8525, Remote Sensing of the Marine Environment II; 85250L (2012) https://doi.org/10.1117/12.977359
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

Abstract

The suitability of a handheld spectrometer and ASTER satellite data for monitoring water quality in coastal waters of Sri Lanka and inland waters of Japan was tested in November 2010 to March 2012. In-situ Chlorophyll-a (Chl-a), turbidity, total suspended solid, secchi depth and reflectance data were measured at ASTER overpass times in Negombo estuary, Trincomalee bay, Puttalam and Chilaw lagoons, Sri Lanka, and in Lake Senba and Lake Kasumigaura, Japan. ASTER based Chl-a retrieval algorithms were developed support with in-situ Chl-a and MODIS OC3 Chl-a. The original MODIS Chl-a and the in-situ Chl-a were regressively analyzed for determination of a MODIS Chl-a correction equation because it may overestimate in tropical coastal waters. Then, three ASTER VNIR band ratios were compared for correlation with the corrected MODIS Chl-a and in-situ Chl-a. Finally, the regression equation of the ASTER band ratio, B1/B2, with highest correlation was used for generation of high-resolution Chl-a distribution maps. Significant correlation between the ratio of the reflectance peak at 705 nm and the Chl-a absorption at 678 nm and the in-situ Chl-a content was observed and these reflectance ratios were used to establish spectrometric Chl-a estimation algorithms. The proposed algorithms successfully determined localized environmental effects in the study areas. ASTER-based high resolution Chl-a distribution maps will be derived more precisely by further correction of these algorithms, which will be useful in mitigate impacts of the environment change in those coastal and inland water environments.

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D.D.G. L. Dahanayaka, Hideyuki Tonooka, M.J. S. Wijeyaratne, Atsushi Minato, and Satoru Ozawa "Retrieval of chlorophyll-a using satellite and ground spectral data in Japanese and Sri Lankan water bodies", Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 85250L (21 November 2012); https://doi.org/10.1117/12.977359

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KEYWORDS

Reflectivity

MODIS

Satellites

Water

Algorithm development

Near infrared

Remote sensing

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