Fisheries and aquaculture
The fish do not report their position. The ocean colour does.
Fish follow physics. Satellites read the physics daily.Potential fishing zone advisory from SST and chlorophyll
Pelagic species aggregate where thermal fronts and chlorophyll-rich upwelling edges concentrate prey. MODIS, VIIRS and Sentinel-3 make those features mappable at operational frequency, giving fishing fleets and fisheries managers a daily probabilistic advisory.
MODIS-AquaVIIRS (Suomi-NPP and NOAA-20)Sentinel-3 OLCI
Ships turn off their transponders. They cannot turn off physics.Dark-vessel detection for illegal, unreported and unregulated fishing
Synthetic aperture radar detects metal hulls regardless of whether a vessel is broadcasting AIS. Cross-referencing radar returns against satellite AIS feeds isolates the craft that would rather not be seen.
Sentinel-1 SAR (ESA)ICEYE X-band SAR constellationCapella Space X-band SAR
The bloom does not announce itself. The satellite does.Harmful algal bloom detection and warning for aquaculture sites
Harmful algal blooms can devastate fish farms and shellfish leases within hours of reaching lethal concentrations. Ocean-colour remote sensing maps bloom extent, pigment intensity and drift trajectory before the water turns visibly wrong.
Sentinel-3 OLCIMODIS-AquaPACE OCI
Cages move. Licences do not. Satellites notice the difference.Aquaculture farm mapping and licensing compliance monitoring
SAR and multispectral satellites can delineate marine cage arrays, longline buoy patterns and coastal pond boundaries at operational scale, making it possible to verify licensed footprints and flag unlicensed expansion without sending an inspector offshore.
Sentinel-1 SAR (C-band, ESA)Sentinel-2 MSI (ESA)Planet SuperDove multispectral
The satellite reads skin temperature. Your fish live deeper.Sea-surface temperature stress alerts for marine fish farms
Near-daily thermal infrared imagery from VIIRS, MODIS and Sentinel-3 SLSTR can flag dangerous sea-surface temperature excursions at marine fish farms before mortality events occur, provided operators understand what the satellite is actually measuring.
VIIRS (Suomi-NPP / NOAA-20)MODIS-Aqua / MODIS-TerraSentinel-3 SLSTR
The fish are there because the grass is. Prove it from orbit.Seagrass and coastal nursery habitat mapping for fisheries management
Seagrass meadows and mangrove fringes are the nursery infrastructure behind coastal fisheries, yet most nations cannot map them reliably. Satellite optical physics can reach the seabed in clear water to roughly 15–25 metres, but only after correcting for what the water column does to the signal first.
Sentinel-2 MSILandsat 8/9 OLIMaxar WorldView-3
Vessels report what they catch. Physics records where they were.Fishing vessel activity monitoring during quota seasons
Combining spaceborne AIS with SAR-detected vessel positions gives fisheries managers an independent record of fleet effort during open quota seasons, filling the gaps that self-reporting and coastal radar leave behind.
Spire Global spaceborne AISexactEarth HD AISSentinel-1 C-band SAR (ESA)
Fish recruitments fail. The ocean told you three months earlier.Satellite upwelling indices as environmental covariates in stock assessment
Satellite altimetry, sea-surface temperature and ocean colour together quantify upwelling intensity at the spatial and temporal scales that matter for forage-fish recruitment. Feeding these indices into stock-assessment models cuts residual variance and sharpens catch-quota advice.
Sentinel-6 Michael Freilich (radar altimeter)TOPEX/Poseidon and Jason-1/2/3 altimeter seriesMODIS-Aqua (ocean colour and SST)
A FAD in the wrong water mass is just expensive litter.Environmental context mapping for fish-aggregating device deployments
Satellite oceanography reveals whether the water around a fish-aggregating device can actually support a tuna aggregation. SST, chlorophyll, mixed-layer depth and current fields from VIIRS, Sentinel-3 and Copernicus Marine Service data explain why some FADs fish and others do not.
VIIRS (Suomi-NPP / NOAA-20)Sentinel-3 OLCICopernicus Marine Service (CMEMS) ocean-current reanalysis and forecast
Vessels turn off their AIS. They cannot turn off their lights.Night-light detection of squid and light-fishing fleets
High-intensity fishing lights used to attract squid and other phototactic species are detectable from orbit, giving regulators a vessel census that AIS evasion cannot defeat. This page explains the physics, the sensors, and the honest limits.
VIIRS Day-Night Band (DNB)Luojia-1 (LJ-1 01)Sentinel-1 SAR (C-band)
Ocean-colour algorithms break in lakes. Here is what works instead.Inland water body monitoring for freshwater fisheries management
Freshwater bodies present spectral conditions that defeat open-ocean water-quality models. Sentinel-2 MSI and Landsat 8/9 OLI offer the spatial resolution needed to monitor turbidity, cyanobacterial bloom extent and seasonal inundation in lakes and reservoirs that matter to inland fisheries managers.
Sentinel-2 MSILandsat 8/9 OLISentinel-3 OLCI
Shrimp nurseries disappear quietly. Radar and red-edge bands do not miss them.Mangrove loss and recovery monitoring for coastal fisheries habitat
Mangrove loss degrades nursery habitat for penaeid shrimp, snapper and grouper before any fishing survey notices. SAR backscatter and multispectral indices tracked across Sentinel-1, ALOS-2 PALSAR-2 and Sentinel-2 time series reveal where canopy is thinning, where it has gone, and where regrowth is credible.
Sentinel-1 SAR (C-band, ESA)ALOS-2 PALSAR-2 (L-band, JAXA)Sentinel-2 MSI (ESA)
Reefs look uniform from the boat. Satellites disagree.Coral reef habitat mapping for reef fisheries management
Multispectral and hyperspectral satellites can distinguish coral, algae, rubble and sand on shallow reefs down to roughly 15–20 m in clear water, producing habitat quality maps that feed directly into stock assessments and no-take zone design.
Sentinel-2 MSIPlanet SuperDovePRISMA (ASI)
Rivers feed the sea. Satellites read exactly where.River plume and estuarine productivity mapping for coastal fisheries
Riverine discharge plumes concentrate nutrients that drive coastal fish and invertebrate productivity, but their boundaries shift daily. Ocean-colour sensors can map chlorophyll and suspended sediment in these optically complex waters, within the limits of cloud cover and overpass timing.
Sentinel-3 OLCIMODIS Aqua/TerraGOCI-II (Geostationary Ocean Color Imager-II)
The ice edge moves. Your quota calendar should move with it.Sea-ice extent monitoring for Arctic and sub-Arctic fisheries access
Passive microwave and SAR satellites track sea-ice advance and retreat daily across the Barents, Bering and Okhotsk seas, giving fleet operators and quota managers objective evidence of when grounds open and close.
AMSR2 (GCOM-W1, JAXA)SSMIS (DMSP constellation, NOAA/DoD)Sentinel-1 A/B SAR (ESA Copernicus)
Trawlers turn off their AIS. Sediment plumes do not.Bottom trawling disturbance detection from SAR and optical signatures
Satellite optical and SAR imagery can reveal sediment resuspension plumes and seabed track marks left by demersal trawl gear, providing an independent spatial record of fishing effort that VMS logs alone cannot supply.
Sentinel-2 MSIPlanet SuperDoveSentinel-1 SAR (C-band, 5.405 GHz)
Kelp disappears quietly. The rockfish and urchin fisheries do not.Kelp canopy extent and change monitoring for associated fisheries habitat
Giant kelp and bull kelp canopies are detectable at the ocean surface through near-infrared reflectance anomalies, giving fisheries managers a multi-decadal record of habitat loss and recovery across the rockfish, urchin and abalone fisheries that depend on kelp forest structure.
Sentinel-2 MSILandsat 8/9 OLIPlanet SuperDove
The fish compress upward. The satellite sees the pressure building.Oxygen minimum zone shoaling detection for demersal fisheries habitat compression
When low-oxygen water shoals toward the surface, demersal fish are squeezed into a shrinking vertical band. Satellite altimetry, SST and ocean colour cannot measure dissolved oxygen directly, but they can track the physical and biological conditions that reliably precede and accompany that squeeze.
Jason-3 altimeterSentinel-6 Michael FreilichMODIS Aqua
Sargassum does not announce itself. Physics does.Pelagic Sargassum inundation mapping and fisheries impact assessment
Pelagic Sargassum mats can close fishing grounds overnight. Spectral indices applied to MODIS, Sentinel-3 and Sentinel-2 imagery track Atlantic-scale transport and resolve mat density at the scale of individual harbours, giving fleets and fisheries managers days of warning rather than hours.
MODIS Aqua/TerraSentinel-3 OLCISentinel-2 MSI
Ponds smaller than a hectare hide the problems that matter most.Water quality monitoring in inland aquaculture pond systems
Satellite-derived turbidity, chlorophyll-a and CDOM retrievals can track bloom development and effluent events across intensive fish-pond networks, but only if the sensor resolves individual ponds. Most ocean-colour instruments cannot.
Sentinel-2 MSIPlanet SuperDoveLandsat 8/9 OLI
Vessels switch off their transponders. SAR sees them anyway.Fishing vessel pressure monitoring inside marine protected areas
Combining AIS vessel tracking with SAR-based dark-vessel detection gives MPA regulators spatially explicit evidence of fishing pressure that port inspections alone cannot provide, including vessels that deliberately go dark inside no-take zones.
Sentinel-1 SAR (ESA/Copernicus)ICEYE SAR constellationSpire Global AIS (space-based)
Fish follow physics. Fronts betray where the physics breaks.Ocean frontal zone detection for pelagic fish aggregation prediction
Thermal and chlorophyll fronts concentrate prey and attract pelagic species from tuna to small forage fish. Satellite SST and ocean-colour composites, processed through front-detection algorithms, produce daily probability maps that help fleets and managers anticipate distribution shifts before they happen.
MODIS Aqua / TerraVIIRS SNPP / NOAA-20Sentinel-3 SLSTR
The thermocline is invisible. The sea surface gives it away.Sea-level anomaly mapping for tuna habitat depth prediction
Satellite altimetry measures sea-surface height anomalies that proxy thermocline depth, concentrating or dispersing skipjack, yellowfin and bigeye tuna across tropical oceans. This page explains the physics, the sensors, and the honest limits of the technique.
Jason-3Sentinel-6 Michael FreilichSARAL/AltiKa
Clear water starves oysters. Turbid water smothers them. The window is narrow.Coastal turbidity regime analysis for bivalve aquaculture site selection
Satellite time series from Sentinel-2 and Landsat reveal the seasonal turbidity envelope of candidate bivalve sites far more completely than point sampling can. Suspended particulate matter concentration governs both food supply and gill-clogging risk, making its statistical distribution the primary siting criterion.
Sentinel-2 MSILandsat 8/9 OLIMODIS Aqua/Terra
Flooded rice hides in monsoon cloud. SAR does not blink.Wetland and rice-fish co-culture system mapping and extent monitoring
SAR backscatter and optical time series map the seasonal flooding dynamics of rice-fish co-culture systems, supporting production estimates and habitat accounting where cloud cover makes optical-only approaches unreliable.
Sentinel-1 C-band SAR (ESA)ALOS-2 PALSAR-2 L-band SAR (JAXA)Sentinel-2 MSI (ESA)
Squid follow physics. Satellites read the physics first.Environmental habitat index for cephalopod stock distribution
Satellite-derived sea surface temperature, chlorophyll, sea-level anomaly and mixed-layer depth feed species distribution models that forecast where squid and octopus are likely to concentrate, giving fishing fleets and quota-setting bodies a seasonal environmental picture weeks ahead of survey vessels.
MODIS Aqua/TerraVIIRS SNPP / NOAA-20Jason-3 altimeter
Cages move. Licences do not.Marine fish cage structural change and expansion detection
Very-high-resolution optical and SAR imagery can track the footprint, count and layout of offshore fish cages over time, flagging unauthorised expansion, relicensing drift and storm damage before biosecurity breaks down.
Maxar WorldView constellation (WorldView-2, WorldView-3, WorldView-4)Planet SkySatICEYE SAR constellation
Chlorophyll tells you something is growing. Pigments tell you what.Harmful algal bloom genus discrimination using hyperspectral remote sensing
Broadband ocean-colour sensors flag bloom presence but cannot resolve genus-level pigment signatures. Hyperspectral retrievals, led by NASA PACE OCI since 2024, open the first operational path to distinguishing toxic genera such as Karenia, Alexandrium and Pseudo-nitzschia from space.
NASA PACE OCIASI PRISMADESIS on ISS
The sea moves. Satellite archives show exactly how fast.Coastal erosion monitoring for fishing community and infrastructure exposure
Multi-decadal satellite imagery quantifies shoreline retreat rates at fishing ports and aquaculture sites, turning decades of Landsat and Sentinel observations into exposure assessments that inform where to invest and what to abandon.
Landsat 5/7/8/9 (USGS/NASA)Sentinel-2 MSI (ESA Copernicus)Sentinel-1 SAR (ESA Copernicus)
The ocean hides its food. A shoaling thermocline briefly gives it away.Mixed-layer depth variability as a prey concentration index for fisheries
When the mixed layer shallows, zooplankton and small pelagics are compressed toward the surface and become available to predators. Satellite altimetry and blended SST products can estimate that shoaling, with important caveats about accuracy.
Jason-3 altimeter (CNES/EUMETSAT/NOAA/NASA)Sentinel-6 Michael Freilich (ESA/EUMETSAT/NASA/NOAA)GHRSST blended SST products (multiple contributing sensors)
Lice development doubles with a few degrees. Clouds hide the evidence.Sea-surface temperature risk mapping for salmon lice proliferation in fjords
Satellite thermal infrared imagery can map the water temperatures that govern sea-lice development rates across salmon-farming fjords, but persistent cloud cover in Norway and Scotland makes multi-sensor data fusion essential for operational use.
Sentinel-3 SLSTRMODIS Aqua/TerraVIIRS SNPP and NOAA-20
Shrimp follow salinity gradients. Satellites can read those gradients first.Sea-surface salinity front mapping for coastal shrimp migration prediction
L-band microwave radiometry from SMOS and Aquarius maps sea-surface salinity fronts that drive Penaeus monodon and Litopenaeus vannamei aggregations. Coastal limits are real but manageable with model reanalysis blending.
ESA SMOS (Soil Moisture and Ocean Salinity)NASA/CONAE Aquarius SAC-DCopernicus Marine Service GLORYS12 reanalysis
Farms discharge nutrients invisibly. Multispectral bands do not agree.Aquaculture effluent and nutrient plume mapping in coastal receiving waters
Dense aquaculture installations elevate chlorophyll-a and suspended solids in receiving waters, creating optical signatures detectable by Sentinel-2 and Landsat-9. Band-ratio methods map plume extent and intensity, but atmospheric correction uncertainty in coastal water remains a real constraint regulators must understand before acting on the data.
Sentinel-2 MSILandsat-9 OLI-2PlanetScope SuperDove
The storm passes in hours. The insurance argument takes months.Post-cyclone wave damage assessment for offshore aquaculture infrastructure
Tropical cyclones can destroy marine cage arrays and longline systems before any vessel reaches the site. SAR coherence change detection and very-high-resolution optical imagery together provide the earliest credible evidence of structural loss, displaced equipment and debris fields.
Sentinel-1 SAR (IW mode, C-band)Maxar WorldView-3Planet SkySat
Anchovies do not eat chlorophyll. They eat the right-sized cells.Phytoplankton size-class partitioning as a forage fish prey availability index
The ratio of microphytoplankton to picophytoplankton in surface waters predicts prey field quality for small pelagic fish far better than bulk chlorophyll alone. MODIS Aqua, PACE OCI and Sentinel-3 OLCI make basin-scale size-class mapping operationally feasible, with important caveats in turbid coastal water.
NASA MODIS AquaNASA PACE OCISentinel-3 OLCI
Trawlers switch off their transponders. Their wakes do not.Vessel wake pattern analysis for illegal trawl corridor identification in SAR
Trawling vessels leave Kelvin and turbulent wake signatures in SAR imagery that persist for tens of minutes, enabling retrospective corridor mapping even without AIS. Overlaying detected corridors against MPA and closed-area boundaries flags probable violations with documented probability limits.
Sentinel-1 (C-band SAR, IW and EW modes)ICEYE X-band SAR constellationCapella Space X-band SAR
Turtles follow physics. So can bycatch risk maps.Sea turtle habitat suitability mapping for fisheries bycatch risk reduction
Satellite-derived sea surface temperature, altimetry and chlorophyll fronts predict where loggerhead and leatherback turtles aggregate, letting fisheries managers issue probabilistic bycatch risk advisories before vessels set gear.
NOAA VIIRS SST (SNPP and NOAA-20)MODIS Aqua chlorophyll-aAVISO DUACS sea-level anomaly (multi-mission altimetry)
The front moves every season. CCAMLR quotas do not.Polar front position monitoring for Antarctic krill aggregation and fisheries access
Antarctic krill aggregate where polar fronts force nutrient upwelling, but front positions shift interannually with the Southern Annular Mode. Tracking them demands microwave SST, optical chlorophyll, and altimetry working together against persistent cloud.
JAXA AMSR2 (GCOM-W)NOAA VIIRS (Suomi-NPP / NOAA-20 / NOAA-21)Sentinel-3 OLCI
Regulators want flushing data. The tide leaves a signature from orbit.Tidal current and flushing capacity assessment for aquaculture site licensing
Satellite altimetry, assimilated ocean models and Sentinel-2 turbidity time series can characterise surface tidal flushing at candidate cage sites, giving applicants a defensible evidence base before committing to costly in-situ ADCP deployments.
Sentinel-6 Michael Freilich (radar altimeter)Copernicus Marine Service NEMO-based models (CMEMS)CMEMS HF radar surface currents
The fish follow the flood. The flood follows physics.Flood pulse extent and duration mapping for floodplain fisheries productivity assessment
Lateral inundation of tropical floodplains drives fish recruitment and nutrient cycling, yet cloud cover blinds optical sensors precisely when the flood peaks. SAR and MODIS time series together map what matters: when the water arrives, how far it spreads, and how long it stays.
Sentinel-1 SAR (IW mode, C-band)ALOS-2 PALSAR-2 (L-band SAR, JAXA)MODIS Terra/Aqua surface reflectance (MOD09/MYD09)
The ocean glows at night. That glow is a fishing map.Bioluminescence proxy mapping from night-time radiance for fisheries habitat characterisation
VIIRS Day/Night Band composites can isolate persistent bioluminescent radiance from dinoflagellate blooms, flagging high-productivity water masses attractive to pelagic fish. The method requires careful screening for moonlight, thin cloud and aerosol before any biological attribution is valid.
NOAA/NASA VIIRS Day/Night Band (DNB)MODIS Aqua chlorophyll-aSentinel-3 OLCI