# Velocity of Sargassum migration in the Caribbean observed with Landsat 8/9 and Sentinel 2 A/B imagery

## TL;DR

This study uses satellite images to track how fast Sargassum seaweed moves in the Caribbean, helping predict its arrival near coasts.

## Contribution

The study provides precise velocity measurements of Sargassum rafts using paired satellite imagery, enabling better coastal management strategies.

## Key findings

- Sargassum rafts moved between 200 m and 1700 m in 14 to 26 minutes with an average speed of 0.63 m/s.
- HYCOM ocean currents showed a positive correlation with Sargassum drift direction and speed.
- Satellite imagery paired with current and wind data can serve as an early warning system for Sargassum arrival.

## Abstract

Imagery from Landsat 8/9 (L89) and Sentinel-2 A/B (S2) was employed to monitor the velocity migration of Sargassum aggregations. The displacement characteristics of these aggregations offer insights that can inform the formulation of preventive strategies and the planning of harvesting operations for the floating biomass. Images L89 and S2 are sometimes acquired the same day and a few minutes apart. Sargassum landmark identification was performed manually on enhanced RGB composite images using quotient indices. A review of images between 2019 and 2023 was performed to select rafts that were distinguishable in both images. Geographic positions were recorded to determine traveled distance, direction, and speed. Pairs of 279 rafts were found on 21 coincident dates. Ninety eight percent of Sargassum rafts traveled between 200 m and 1700 m in a time frame of 14 to 26 minutes with an average speed of 0.63 m/s, a standard deviation of 0.24 m/s, a minimum of 0.15 m/s, and a maximum of 1.40m/s. Dominant directions were 34% NW, 23% WNW, 14% NNW, 14% W and 6% N. HYCOM ocean currents showed a positive correlation with Sargassum drift, and translation rates are also consistent with surface drifter data. The use of L89 and S2 satellite imagery as an early warning system, in conjunction with current and wind data, may help anticipate the arrival of Sargassum in coastal areas.