Technical Papers
Jan 8, 2015

Monitoring for Spatiotemporal Estuarine Chlorophyll Using MODIS and In Situ Characteristics

Publication: Journal of Environmental Engineering
Volume 141, Issue 7

Abstract

An empirical model for monitoring spatiotemporal estuarine chlorophyll concentration is proposed using Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensed data in conjunction with chlorophyll monitoring data and in situ characteristics in the mesohaline segment of the James River, Chesapeake Bay. The spatiotemporal estuarine chlorophyll monitoring model (STE Chl MM) was developed to express chlorophyll concentration with dependent variables of MODIS medium-resolution band (250 m) data and ambient water temperature in the spring (March to May) and fall (July to September). The model includes continuously monitored ambient water temperature as a transfer function representing dissolved oxygen and degree of ambient water kinetics describing fate and utilization of nutrients by the phytoplankton biomass. The STE Chl MM is comparable in performance to the conventional modeling approach that estimates chlorophyll concentration using in situ temperature and dissolved oxygen in terms of root mean square sum for error (RMSE) and R2 (0.880–0.608 and 0.861–0.901, respectively). When high spectral, spatial, and temporal properties of MODIS imagery were joined with in situ data, the meso- and macroscale spatiotemporal characteristics of algal growth in the lowest tributary on the Chesapeake Bay were effectively identified.

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Acknowledgments

The authors wish to acknowledge the assistance of the HRSD, Virginia Beach, Virginia, in providing water quality monitoring data sets on the saline portion of the James River estuary.

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Published In

Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 141Issue 7July 2015

History

Received: Feb 6, 2014
Accepted: Nov 20, 2014
Published online: Jan 8, 2015
Discussion open until: Jun 8, 2015
Published in print: Jul 1, 2015

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Authors

Affiliations

Kwisun Park [email protected]
Researcher, National R&D Information Analysis Team, National Research Foundation of Korea, 201 Gajeong-ro, Yuseong-gu, Daejeon 305-754, South Korea (corresponding author). E-mail: [email protected]
Jaewan Yoon, A.M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Kaufman Hall Room. 135, Old Dominion Univ., Norfolk, VA 23529-0241. E-mail: [email protected]

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