Towards sustainable coastal management: aerial imagery and deep learning for high-resolution Sargassum mapping.

ABSTRACT: The massive arrival of pelagic Sargassum on the coasts of several countries of the Atlantic Ocean began in 2011 and to date continues to generate social and environmental challenges for the region. Therefore, knowing the distribution and quantity of Sargassum in the ocean, coasts, and beaches is necessary to understand the phenomenon and develop protocols for its management, use, and final disposal. In this context, the present study proposes a methodology to calculate the area Sargassum occupies on beaches in square meters, based on the semantic segmentation of aerial images using the pix2pix architecture. For training and testing the algorithm, a unique dataset was built from scratch, consisting of 15,268 aerial images segmented into three classes. The images corresp

SUBMITTER: Arellano-Verdejo J 

PROVIDER: S-EPMC11426325 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature