Implementation of dynamic simulation of Enteromorpha distribution and area estimation technique

Yang Liu; Benshuai Li; Bo Ai; Hengshuai Shang; Wenjun Feng

doi:10.1117/12.3057608

28 January 2025 Implementation of dynamic simulation of Enteromorpha distribution and area estimation technique

Yang Liu, Benshuai Li, Bo Ai, Hengshuai Shang, Wenjun Feng

Author Affiliations +

Proceedings Volume 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024); 135061D (2025) https://doi.org/10.1117/12.3057608
Event: Sixth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2024), 2024, Qingdao, China

Abstract

In recent years, large-scale algal blooms, commonly referred to as "green tides," have frequently occurred in the Yellow Sea, significantly impacting the nearshore ecosystem, coastal environment, and local economy. This phenomenon has become one of the region's most pressing ecological challenges. In response, this paper proposes an innovative algal removal decision-making method using raw image data, ocean dynamics data and intelligent algorithms is proposed. To estimate the distribution probability of scattered algal patches, we employ the DBSCAN density clustering algorithm, while a Bezier curve optimization technique smooths the results to better reflect actual distribution patterns. Through algorithm optimization and implementation, the coverage area and distribution area of enteromorpha were obtained more accurately. Through algorithmic optimization, we enhance overall efficiency, ensuring timely and effective operational responses.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Liu, Benshuai Li, Bo Ai, Hengshuai Shang, and Wenjun Feng "Implementation of dynamic simulation of Enteromorpha distribution and area estimation technique", Proc. SPIE 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), 135061D (28 January 2025); https://doi.org/10.1117/12.3057608

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