Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery

Authors

Victoria J. Hill, Old Dominion UniversityFollow
Richard C. Zimmerman, Old Dominion UniversityFollow
Paul Bissett, Eathon Intelligence LLC
David Kohler, Trimble, Inc.
Blake Schaeffer, U.S. Environmental Protection Agency
Megan Coffer, Global Science & Technology
Jiang Li, Old Dominion UniversityFollow
Kazi Aminul Islam, Kennesaw State University

ORCID

0000-0001-8337-7441 (Hill), 0000-0002-9399-4264 (Zimmerman), 0000-0003-0091-6986 (Li)

Document Type

Article

Publication Date

2023

DOI

10.3390/rs15194715

Publication Title

Remote Sensing

Volume

15

Issue

19

Pages

4715 (1-25)

Abstract

Mapping the seagrass distribution and density in the underwater landscape can improve global Blue Carbon estimates. However, atmospheric absorption and scattering introduce errors in space-based sensors’ retrieval of sea surface reflectance, affecting seagrass presence, density, and above-ground carbon (AGC_seagrass) estimates. This study assessed atmospheric correction’s impact on mapping seagrass using WorldView-2 satellite imagery from Saint Joseph Bay, Saint George Sound, and Keaton Beach in Florida, USA. Coincident in situ measurements of water-leaving radiance (L_w), optical properties, and seagrass leaf area index (LAI) were collected. Seagrass classification and the retrieval of LAI were compared after empirical line height (ELH) and dark-object subtraction (DOS) methods were used for atmospheric correction. DOS left residual brightness in the blue and green bands but had minimal impact on the seagrass classification accuracy. However, the brighter reflectance values reduced LAI retrievals by up to 50% compared to ELH-corrected images and ground-based observations. This study offers a potential correction for LAI underestimation due to incomplete atmospheric correction, enhancing the retrieval of seagrass density and above-ground Blue Carbon from WorldView-2 imagery without in situ observations for accurate atmospheric interference correction.

Rights

© 2023 by the authors.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Original Publication Citation

Hill, V. J., Zimmerman, R. C., Bissett, P., Kohler, D., Schaeffer, B., Coffer, M., Li, J., & Islam, K. A. (2023). Impact of atmospheric correction on classification and quantification of seagrass density from WorldView-2 imagery. Remote Sensing, 15(19), 1-25, Article 4715. https://doi.org/10.3390/rs15194715

Repository Citation

Hill, Victoria J.; Zimmerman, Richard C.; Bissett, Paul; Kohler, David; Schaeffer, Blake; Coffer, Megan; Li, Jiang; and Islam, Kazi Aminul, "Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery" (2023). OES Faculty Publications. 487.
https://digitalcommons.odu.edu/oeas_fac_pubs/487