Remote Sensing for Aquaculture (Satellite)

Satellite remote sensing applies optical and radar imagery to aquaculture at scales ground sensors cannot reach: detecting chlorophyll-a and turbidity as proxies for algal blooms and runoff, mapping sea surface temperature fronts that trigger harmful algal events or thermal stress, and identifying site-scale features like chlorophyll gradients around cage clusters. Free constellations such as Sentinel-2 provide 10-20 m pixels every few days, enough to monitor water color in embayments, while commercial constellations offer daily revisits at 3 m resolution suitable for counting cages or tracking ice cover on northern sites. Radar (SAR) sees through clouds and at night, making it the reliable option in monsoon climates, and is used operationally to monitor illegal discharges and to map cage footprints for licensing enforcement. For farmers the practical products are bloom early warnings, site selection analysis combining depth, current proxies, and historical temperature, and environmental compliance evidence. Limitations are real: optical signals saturate in turbid coastal water, pixels average over cage-scale heterogeneity, and detection of sub-surface conditions like low nighttime oxygen is impossible, so satellite products complement rather than replace in-situ sensor networks. The strongest workflows fuse both, calibrating imagery against farm measurements to extrapolate point data across a bay.