Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Environment, Resource and Ecology Journal
  4. Vol 9, Issue 1, 2025

Remote Sensing Estimation of Chlorophyll-a Content in Nearshore Aquaculture Areas Based on Sentinel 2 Data

Download as PDF

DOI: 10.23977/erej.2025.090104 | Downloads: 20 | Views: 743

Author(s)

Zhigen Liu 1, Zhifeng Wu 2, Huaheng Shen 1, Lingyun Yu 1

Affiliation(s)

1 School of Fine Arts and Design, Huaihua University, Hunan, Huaihua, China
2 School of Geographic Sciences and Remote Sensing, Guangzhou University, Guangdong, Guangzhou, China

Corresponding Author

Zhigen Liu

ABSTRACT

Accurate monitoring of chlorophyll-a concentration in offshore aquaculture areas is of great significance for ecological assessment and fisheries management. In this paper, a semi-analytical inversion model of chlorophyll-a concentration was constructed based on field-measured spectral reflectance data of the water column in the Zhelin Bay aquaculture area of Guangdong Province as a research object. The study validated the model using Sentinel-2 satellite data, revealing the spatial and temporal distribution characteristics of chlorophyll-a concentration in Zhelin Bay. The results showed that the inversion model constructed by the sensitive band ratio method had a high estimation accuracy, with a relative error of 13.25% and a coefficient of determination of R2 of 0.891. It was found that the distribution of chlorophyll-a concentration in the aquaculture area of Zhelin Bay showed obvious regional differences, with the highest chlorophyll-a concentration in the pond culture area in the north and the west, and the relatively low chlorophyll-a concentration in the nets and shell-fisheries culture area. summer and fall were significantly higher than those in spring and winter, showing seasonal fluctuations. This study provides a scientific basis for pollution monitoring and aquaculture management in near-shore waters.

KEYWORDS

Chlorophyll a; remote sensing; eutrophication; aquaculture; Sentinel-2

CITE THIS PAPER

Zhigen Liu, Zhifeng Wu, Huaheng Shen, Lingyun Yu, Remote Sensing Estimation of Chlorophyll-a Content in Nearshore Aquaculture Areas Based on Sentinel 2 Data. Environment, Resource and Ecology Journal (2025) Vol. 9: 32-41. DOI: http://dx.doi.org/10.23977/erej.2025.090104.

REFERENCES

[1] Bilal, M., Nazeer, M., & Nichol, J. E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43 - 50.
[2] Brown, E. F., Hu, C., Yang, X., & Martinez, L. (2016). The Impact of Aquaculture Activities on Chlorophyll - a Distribution in Coastal Ecosystems. Marine Pollution Bulletin, 112(1 - 2), 34 - 45.
[3] Chen, G. Q., Zhang, X. Z., Huang, X. M., & Xu, Q. W. (2023). Remote Sensing of Chlorophyll - a in Aquaculture: Current Status and Future Trends. Remote Sensing Applications: Society and Environment, 25, 1023 - 1034.
[4] Chen, H. M., Wang, Y. Q., Liu, X. W., & Zhang, X. Z. (2023). Remote Sensing of Chlorophyll - a in Aquaculture: Challenges and Opportunities in the Big Data Era. Remote Sensing, 15(3), 789 - 801.
[5] Doe, J., Smith, K., & Johnson, L. (2010). Remote Sensing of Chlorophyll - a in Coastal Waters: A Review of Current Methods and Applications. Journal of Coastal Research, 26(3), 450 - 465.
[6] Garcia, M. R., Li, H., Zhao, X., & Yang, J. (2017). Improving Chlorophyll - a Retrieval Accuracy with Hyperspectral Remote Sensing in Aquaculture Ponds. International Journal of Applied Earth Observation and Geoinformation, 60, 102 - 113.
[7] Hong, H., Liu, X., Chiang, K. - P., Huang, B., Zhang, C., Hu, J., & Li, Y. (2011). The coupling of temporal and spatial variations of chlorophyll a concentration and the East Asian monsoons in the southern Taiwan China. Continental Shelf Research, 31, S37 - S47.
[8] Hu, C. Y., Yang, J. L., Zhao, X. Y., & Wang, J. H. (2016). The Effect of Water Quality Parameters on Chlorophyll - a Retrieval Accuracy in Aquaculture Ponds. Aquacultural Engineering, 64, 112 - 123.
[9] Huang, X. M., Zhou, J. P., Wu, Q. X., & Hu, C. Y. (2013). Estimating Chlorophyll - a in Aquaculture Ponds with High - Resolution Satellite Imagery. International Journal of Remote Sensing, 34(15), 5678 - 5689.
[10] Johnson, C. D., Lee, S., Wang, X., & Zhang, Y. (2015). Sentinel - 2 Data for Monitoring Chlorophyll - a in Offshore Mariculture: A Case Study in [Region Name]. Remote Sensing of Environment, 169, 112 - 123.
[11] Lee, S. J., Wang, X. L., Zhang, Y. Q., & Liu, Y. T. (2019). A Comparative Study of Chlorophyll - a Estimation Models Using Different Satellite Sensors in Nearshore Waters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(6), 1890 - 1901.
[12] Li, H. X., Zhao, X. Y., Wang, X. L., & Liu, X. W. (2019). A Novel Algorithm for Chlorophyll - a Estimation in Aquaculture Using Remote Sensing Data. Computers and Electronics in Agriculture, 162, 103 - 114.
[13] Li, M., Zhang, L. F., Wang, Y. Q., & Liu, Y. T. (2015). The Effect of Aquaculture Waste on Chlorophyll - a Concentration in Nearshore Waters. Marine Pollution Bulletin, 98(1 - 2), 34 - 45.
[14] Liu, X. W., Chen, H. M., Huang, X. M., & Zhang, L. F. (2020). Data Integration for Chlorophyll - a Estimation in Coastal Aquaculture: A Review of Methods and Challenges. Journal of Environmental Sciences, 90, 123 - 134.
[15] Liu, Z. G., Xu, Q. W., Li, M., & Zhang, L. F. (2022). The Role of Tidal Currents in the Distribution of Chlorophyll - a in Bay Aquaculture Areas. Estuarine, Coastal and Shelf Science, 265, 113 - 124.
[16] Martinez, L. R., Zhang, Y. Q., Liu, Y. T., & Chen, G. Q. (2018). Chlorophyll - a Variability in a Coastal Bay: Linkages to Aquaculture and Environmental Forcing. Marine Ecology Progress Series, 598, 13 - 24.
[17] Ndungu, J., Monger, B. C., Augustijn, D. C., Hulscher, S. J., Kitaka, N., & Mathooko, J. M. (2013). Evaluation of spatio - temporal variations in chlorophyll - a in Lake Naivasha, Kenya: remote - sensing approach. International journal of remote sensing, 34(22), 8142 - 8155.
[18] Smith, V. H., & Schindler, D. W. (2009). Eutrophication science: Where do we go from here? Trends in Ecology & Evolution, 24(4), 201–207.  
[19] Smith, A. B., Brown, C., Garcia, M., & Kim, T. (2012). Machine Learning Approaches for Chlorophyll - a Estimation in Aquaculture Areas. Ecological Informatics, 10(2), 123 - 135.
[20] Wang, X. L., Zhang, X. Y., Wang, J. H., & Chen, G. Q. (2020). Remote Sensing Monitoring of Chlorophyll - a in Aquaculture Areas under Climate Change Scenarios. Environmental Science & Technology, 54(10), 6012 - 6023.
[21] Wang, Y. Q., Liu, Y. T., Chen, G. Q., & Zhang, X. Z. (2017). Chlorophyll - a Dynamics in a Coastal Aquaculture Zone: A Long - Term Study Using Remote Sensing Data. Journal of Marine Sciences, 16(4), 567 - 578.
[22] Wu, Q. X., Yang, X. M., Martinez, L. R., & Li, M. (2015). Spatial and Temporal Patterns of Chlorophyll - a in Offshore Aquaculture Zones: A Remote Sensing Analysis. Journal of Marine Biology, 162(3), 456 - 467.
[23] Xie, B., Qin, J., Yang, H., Wang, X., Wang, Y. H., & Li, T. Y. (2013). Organic aquaculture in China: A review from a global perspective. Aquaculture, 414, 243 - 253.
[24] Xu, Q. W., Li, M., Zhang, L. F., & Wang, Y. Q. (2014). Spatial Heterogeneity of Chlorophyll - a in Coastal Aquaculture Areas: A Remote Sensing and GIS Analysis. Environmental Monitoring and Assessment, 186(10), 6789 - 6799.
[25] Yang, X. M., Li, H. X., Zhang, X. Y., & Yang, J. L. (2017). Remote Sensing - Based Monitoring of Chlorophyll - a in Coastal Aquaculture Areas: A Review of Recent Advances. Ocean & Coastal Management, 143, 102 - 113.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 5697
Visits: 383121

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.