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<p>Monitoring and mapping mariculture is of paramount importance for understanding spatio-temporal evolution patterns of mariculture and facilitating effectively coastal eco-environment management. Currently, there are few studies on long-term monitoring of mariculture types along the coastal zone using efficient and accurate approach. This study investigates the spatio-temporal dynamics of mariculture in the coastal region of Zhejiang Province (CRZJ), China from 2013 to 2022, using the CO-TMMMC method (CO represents the proposed cage mariculture recognition index (CMRL) and the object-based visually salient normalized difference vegetation index in the study, and TMMMC denotes an improved Canny edge detection (CED) method by integrating with the total variation model, multi-scale analysis, multi-channel processing, and morphological closing operations). The results indicate that the annual average overall accuracy of the CO-TMMMC method reached 91.07%, surpassing four traditional methods, namely Support Vector Machine (SVM), Maximum Likelihood (ML), CED, and Iterative Self-Organizing Data Analysis Technique (ISODATA). The mariculture area of CRZJ experienced a substantial increase from 2013 to 2017, followed by a gradual decrease during 2017–2022. Raft mariculture consistently accounted for more than 82% of the total mariculture area from 2013 to 2022, surpassing cage mariculture by a significant margin. Natural factors (typhoon activity, storm surges) and human factors (coastal management policies) critically influenced the spatiotemporal dynamics of mariculture distribution. Differences in statistical standards and the limitations of single-view remote-sensed images affected the uncertainty in mariculture extraction information. The spatio-temporal dynamics of mariculture in the CRZJ could serve as a scientific reference for the regional planning and implementation of mariculture monitoring and the protection of the marine ecological environment.</p>

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Spatio-temporal Dynamic Monitoring and Analysis of Mariculture Using Remote Sensing: A Case Study of Zhejiang Province, China (2013–2022)

  • 期刊论文

  • 发表日期：

    2026年4月20日

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  • Nuocheng Yang,
  • Chunyan Lu,
  • Riqing Chen,
  • Zhongming Teng,
  • Wenna Gao,
  • Kexin Wu,
  • Yuqi Wu,
  • Zihan Zhang,
  • Sarfraz Ahmed

摘要

Monitoring and mapping mariculture is of paramount importance for understanding spatio-temporal evolution patterns of mariculture and facilitating effectively coastal eco-environment management. Currently, there are few studies on long-term monitoring of mariculture types along the coastal zone using efficient and accurate approach. This study investigates the spatio-temporal dynamics of mariculture in the coastal region of Zhejiang Province (CRZJ), China from 2013 to 2022, using the CO-TMMMC method (CO represents the proposed cage mariculture recognition index (CMRL) and the object-based visually salient normalized difference vegetation index in the study, and TMMMC denotes an improved Canny edge detection (CED) method by integrating with the total variation model, multi-scale analysis, multi-channel processing, and morphological closing operations). The results indicate that the annual average overall accuracy of the CO-TMMMC method reached 91.07%, surpassing four traditional methods, namely Support Vector Machine (SVM), Maximum Likelihood (ML), CED, and Iterative Self-Organizing Data Analysis Technique (ISODATA). The mariculture area of CRZJ experienced a substantial increase from 2013 to 2017, followed by a gradual decrease during 2017–2022. Raft mariculture consistently accounted for more than 82% of the total mariculture area from 2013 to 2022, surpassing cage mariculture by a significant margin. Natural factors (typhoon activity, storm surges) and human factors (coastal management policies) critically influenced the spatiotemporal dynamics of mariculture distribution. Differences in statistical standards and the limitations of single-view remote-sensed images affected the uncertainty in mariculture extraction information. The spatio-temporal dynamics of mariculture in the CRZJ could serve as a scientific reference for the regional planning and implementation of mariculture monitoring and the protection of the marine ecological environment.