ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA

The mission of the European Space Agency’s Sentinel-3 satellite is to provide data for land and ocean monitoring purposes. Sentinel- 3’s Ocean and Land Colour Instrument (OLCI) data are being used largely for monitoring offshore and coastal waters but can also be used for inland waters including lak...

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Main Authors: M. Conopio, R. K. Japor, A. C. Blanco, A. M. Tamondong
Format: Article
Language:English
Published: Copernicus Publications 2019-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/125/2019/isprs-archives-XLII-4-W19-125-2019.pdf
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author M. Conopio
R. K. Japor
A. C. Blanco
A. C. Blanco
A. M. Tamondong
A. M. Tamondong
author_facet M. Conopio
R. K. Japor
A. C. Blanco
A. C. Blanco
A. M. Tamondong
A. M. Tamondong
author_sort M. Conopio
collection DOAJ
description The mission of the European Space Agency’s Sentinel-3 satellite is to provide data for land and ocean monitoring purposes. Sentinel- 3’s Ocean and Land Colour Instrument (OLCI) data are being used largely for monitoring offshore and coastal waters but can also be used for inland waters including lakes. It has a spatial resolution of 300 meters, a temporal resolution of 2–3 days and contains 21 spectral bands. Laguna de Bay, with a surface area of around 930&thinsp;km<sup>2</sup>, suffers from periodic algal blooms resulting from excessive nutrient inputs from surrounding watersheds. This study aims to assess the applicability of Sentinel-3 OLCI for estimating chlorophylla (chl-a) concentration in Laguna Lake. Several chl-a estimation algorithms (i.e., band ratios and indices) were tested for Sentinel 3 OLCI images and compared with in-situ data obtained using a chl-a sensor. A regression model comprising of individual spectral bands, band ratios, and band indices for chl-a estimation as independent variables was developed, yielding an adjusted R<sup>2</sup> of 0.759 and RMSE of 1.19 ug/L. The model consists of R620, R674/R708, and RED/NIR. A map was produced showing the spatial distribution of chl-a in Laguna Lake, with most of the portion of the lake having a concentration ranging from 7.5 ug/L to 15 ug/L. This shows that Sentinel 3 OLCI images can be utilized for accurately estimating chl-a in Laguna Lake.
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spelling doaj.art-e9c5014d875749a2a3887c54f08f433b2022-12-21T19:04:18ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-12-01XLII-4-W1912513210.5194/isprs-archives-XLII-4-W19-125-2019ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATAM. Conopio0R. K. Japor1A. C. Blanco2A. C. Blanco3A. M. Tamondong4A. M. Tamondong5Department of Geodetic Engineering, University of the Philippines – Diliman, Quezon City 1101, PhilippinesDepartment of Geodetic Engineering, University of the Philippines – Diliman, Quezon City 1101, PhilippinesDepartment of Geodetic Engineering, University of the Philippines – Diliman, Quezon City 1101, PhilippinesTraining Center for Applied Geodesy and Photogrammetry, University of the Philippines – Diliman, Quezon City 1101, PhilippinesDepartment of Geodetic Engineering, University of the Philippines – Diliman, Quezon City 1101, PhilippinesTraining Center for Applied Geodesy and Photogrammetry, University of the Philippines – Diliman, Quezon City 1101, PhilippinesThe mission of the European Space Agency’s Sentinel-3 satellite is to provide data for land and ocean monitoring purposes. Sentinel- 3’s Ocean and Land Colour Instrument (OLCI) data are being used largely for monitoring offshore and coastal waters but can also be used for inland waters including lakes. It has a spatial resolution of 300 meters, a temporal resolution of 2–3 days and contains 21 spectral bands. Laguna de Bay, with a surface area of around 930&thinsp;km<sup>2</sup>, suffers from periodic algal blooms resulting from excessive nutrient inputs from surrounding watersheds. This study aims to assess the applicability of Sentinel-3 OLCI for estimating chlorophylla (chl-a) concentration in Laguna Lake. Several chl-a estimation algorithms (i.e., band ratios and indices) were tested for Sentinel 3 OLCI images and compared with in-situ data obtained using a chl-a sensor. A regression model comprising of individual spectral bands, band ratios, and band indices for chl-a estimation as independent variables was developed, yielding an adjusted R<sup>2</sup> of 0.759 and RMSE of 1.19 ug/L. The model consists of R620, R674/R708, and RED/NIR. A map was produced showing the spatial distribution of chl-a in Laguna Lake, with most of the portion of the lake having a concentration ranging from 7.5 ug/L to 15 ug/L. This shows that Sentinel 3 OLCI images can be utilized for accurately estimating chl-a in Laguna Lake.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/125/2019/isprs-archives-XLII-4-W19-125-2019.pdf
spellingShingle M. Conopio
R. K. Japor
A. C. Blanco
A. C. Blanco
A. M. Tamondong
A. M. Tamondong
ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA
title_full ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA
title_fullStr ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA
title_full_unstemmed ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA
title_short ESTIMATION OF CHLOROPHYLL-A CONCENTRATION IN LAGUNA DE BAY USING SENTINEL-3 SATELLITE DATA
title_sort estimation of chlorophyll a concentration in laguna de bay using sentinel 3 satellite data
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W19/125/2019/isprs-archives-XLII-4-W19-125-2019.pdf
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