The sample vessel track below shows position broadcasts of the Jin Sheng No.2, a Chinese fishing vessel with mmsi number 413270430. Over three weeks in March of 2015, this vessel steamed from the central Pacific to the coast of Japan, Korea, and China. While moving, a vessel broadcasts its position via AIS every 2 to […]
Last week, a visitor to our site asked if Global Fishing Watch can be used to track whaling ships. The short answer is yes, sometimes. At the moment, our machine learning algorithms are being designed to classify three major types of fishing activity—trawling, longlining and purse seining—but some whaling vessels report themselves as “fishing vessels,”
None of what we’re doing at Global Fishing Watch would be possible without the advancements in computing power that have occurred in recent years. The volume of data we work with would have been overwhelming in the past. In one random sample, we observed more than 127,000 vessels over a 24-hour period broadcasting the Automatic
Just a few years ago the very idea of collecting billions of radio signals from ocean-going vessels all around the world and creating a global map of their activity in near-real time would have been unthinkable. But today’s cloud computing technology allows us to do amazing things with huge amounts of data.
Occasionally, the AIS messages transmitted from a ship provide a location that makes no sense, say, in the middle of the Antarctic or over a mountain range. In such cases, either the AIS transponder has malfunctioned, the data got scrambled in transmission, or the system has been tampered with in a deliberate attempt to disguise
The satellite-based Automatic Identification System (AIS) is great for locating vessels, but it’s not fully reliable for identifying them. AIS broadcasts coded messages that include information about a vessel’s identity such as its name, ship
Clarifying Identity: Matching Broadcasts to Vessel Registries Read More »
At Global Fishing Watch, we hear it all the time: “Tracking commercial fishing vessels from satellites is such a great idea, and it seems so easy!” In fact, we’ve received a few questions from our readers asking us why this isn’t just a simple hack of publicly available data.
AIS and the Challenges of Tracking Vessels at Sea Read More »
To help researchers better understand how much fish is being taken from the ocean, we’re developing ways to use our data for estimating the total potential catch of the global fishing fleet. It’s a big and a complex question to answer, partly because the source of our information, AIS, is limited. It doesn’t tell us
How Much Fish Can A Fisherman Fish? (and how we’re trying to find out) Read More »
Something we hear often about tracking vessels with Automatic Identification Signals (AIS) is that transponders can be turned off. Fishers that don’t want to be caught doing something illegal or questionable will simply “go dark.”
Going Dark: When Vessels Turn Off AIS Broadcasts Read More »
The satellite-based Automatic Identification System (AIS) that we use for tracking vessels is a radio transmission system in which a ship sends a coded message that can be picked up by satellite and land-based receivers. The code includes
Spoofing: One Identity Shared by Multiple Vessels Read More »
Every day we download more than 20 million data points, giving us the positions of the about two hundred thousand vessels in the world. To see where these vessels traveled in 2015, I plotted their positions to create the map you see above. This map shows all vessels carrying AIS, and not just fishing vessels, and
The Phoenix Islands Protected Area (PIPA), located in the central Pacific between Hawaii and Australia, is the world’s largest UNESCO World Heritage Site. Spanning a swath of ocean roughly the size of California, its hosts a series of isolated seamounts and almost entirely uninhabited islands, all supporting rich, largely unspoiled ecosystems.
Ending Hide & Seek at Sea: Global Fishing Watch in Science Read More »
When it looks like spaghetti, it may be fishing. That’s one of the first lessons students learn when they’re working with Kristina Boerder, one of our academic partners from Dalhousie University in Halifax, Nova Scotia. Of course, she’s not teaching them about pasta. She’s teaching them about the movement patterns of ships at sea. The
Reading Tracks on the Water: A Team Effort for Humans and Machines Read More »
