Indonesia’s Fishing Vessel Tracking Data Now Available to the Public

Today, a big announcement was made at The Ocean Conference at the United Nations: the Republic of Indonesia has made its fishing activity data public by allowing it to be published in Global Fishing Watch. This is an unprecedented move — governments that require vessels to use their proprietary vessel management systems (VMS) typically restrict access to the system; data is made available to government and enforcement agencies but not the general public. But Susi Pudjiastuti, the head of Indonesia’s Ministry of Marine Affairs and Fisheries (the Kementerian Kelautan dan Perikanan RI, or KKP, for short), believes that making government fisheries data visible to the public is a powerful way to engage civil society in the fight against illegal, unreported and unregulated (IUU) fishing.

Global Fishing Watch, a joint project of SkyTruth, Oceana and Google, relies on publicly-broadcast Automatic Identification System (AIS) signals, rarely used by vessels in Indonesian waters. AIS tends to be used by larger vessels — typically vessels greater than 300 gross tonnage or longer than 15 meters. Much of the fishing in Indonesian waters is carried out on smaller vessels. If you take a look at Global Fishing Watch with and without Indonesia’s VMS data in Indonesian waters, it’s astonishing to see how much fishing activity is added when the VMS data of the second largest fishing nation in the world is included. Indonesia requires all vessels greater than 30 gross tonnage to use its VMS:

View a larger version here.

Minister Susi is calling for other nations to follow her lead, and the Global Fishing Watch partners are committing to process, for free, VMS data from any country that agrees to make its data public through Global Fishing Watch, for free. Her decision is already making a difference — yesterday at this conference, the Republic of Peru announced (Spanish version) that it too will commit its VMS data to Global Fishing Watch in the near future. We hope that other countries will realize the advantages of transparency and soon follow suit.

Today’s announcement is the culmination of two years of behind-the-scenes work with the KKP. In 2015, during a visit to Google headquarters, Minister Susi saw a demonstration of Global Fishing Watch given by Brian Sullivan of Google Oceans & Earth Outreach and SkyTruth’s Paul Woods, and she expressed interest in having a similar tool that her Ministry could use in fighting IUU fishing. Paul said that he thought such a collaboration might be possible, but that because AIS is generally not used in Indonesian waters, it would be necessary for the KKP to make its own VMS data available to GFW in order for there to be any data to work with. Remarkably, Minister Susi agreed.

Since then, SkyTruth team members have made several trips back and forth to Indonesia to work with KKP staff — processing the data and applying algorithms already used for AIS to the VMS data, and sharing insights about the data with KKP staff that they can use to identify illegal activity and manage Indonesia’s globally important fisheries more effectively. Meetings via Skype and Google Hangouts had to be scheduled early in the morning and late at night so that they could span the vast number of time zones occupied by team members in Europe, the Americas and Southeast Asia. SkyTruth hired Imam Prakoso in Jakarta to meet regularly with the KKP, and recruited Aaron Roan, a former Google engineer, to work with the data and the algorithms.

Starting today, Indonesian VMS data will be part of Global Fishing Watch and available to anyone who wants to view it; the VMS data will be updated daily. In addition, the KKP has been given its own mapping tool to use for monitoring fishing in Indonesian waters. The Indonesian VMS fishing activity data is shown on a separate layer, so that it can be turned on and off as the user wishes.

We’d like to give a shout out to the people and organizations that made today’s announcement possible: to the teams at SkyTruth and Global Fishing Watch, to Global Fishing Watch partners Google and Oceana, and to Minister Susi and her staff at the KKP. SkyTruth’s participation in this major effort is made possible by grants from the Walton Family Foundation and the David and Lucile Packard Foundation.

 

Big Data Brings Big Transparency to Indonesia’s Fisheries

Indonesia is leading the way towards a new era of transparency in fisheries management by making its Vessel Monitoring System (VMS) data available to Global Fishing Watch (GFW). This is an unprecedented move.

Traditionally, VMS data is kept secret and used only by government agencies like Indonesia’s Ministry of Maritime Affairs (KKP) and affiliated enforcement agencies. The head of the KKP, Susi Pudjiastuti, referred to as “Minister Susi” by nearly everyone, is a champion of sustainable fishing in Indonesian waters, and has taken major steps to crack down on illegal, unreported and unregulated (IUU) fishing. Her policy of publicly blowing up and sinking (empty) vessels caught fishing illegally in Indonesian waters has been wildly popular. Now that Minister Susi has partnered with GFW, anyone with a browser and internet access will be able to see Indonesia’s VMS data on the GFW map, beginning in June.

People photographing an illegal fishing vessel being intentionally sunk by Minister Susi at Morela village on Ambon Island, April 1, 2017. Antara Foto/Izaac Mulyawan/via REUTERS

Data Scientist Aaron Roan is taking the lead at SkyTruth to integrate Indonesia’s VMS data into Global Fishing Watch. A former Googler, Aaron joined the SkyTruth team officially in January, but he has been involved in the GFW project for a while, on loan from Google as a volunteer. Like many SkyTruthers, Aaron works remotely, usually from San Francisco. However, this project means that lately he’s traveling regularly to Indonesia.

SkyTruthers Aaron Roan (left) and Paul Woods sightseeing in Jakarta during The Economist World Ocean Summit 2017.

Aaron is in charge of integrating VMS data into Global Fishing Watch. Naturally, there have been some interesting challenges and adventures along the way, starting with some pretty big differences between AIS data, which GFW is currently using, and VMS data.

AIS is a well-established and standardized open system developed to keep ships from running into each other, while VMS systems are custom-created specifically to allow government fishing agencies to privately monitor and communicate with vessels. Ships using AIS are essentially just chirping their locations to the world (“I’m here, I’m here!”) using public radio airwaves. VMS systems are more like text-messaging systems on phones, sending and receiving encrypted, privacy-protected information.

Vessel congestion is often an issue for AIS: the satellites that collect AIS broadcasts from vessels have a circular “footprint” 3,000 miles wide (more than the width of the United States) and the system can only receive an AIS ping once every 27 milliseconds, or 2,250 per minute. If there is a lot of vessel traffic in one location, smaller vessels using the weaker class B AIS systems get throttled in preference to larger class A vessels. This means that it’s possible for a vessel to be chirping its location frequently, but when there are a lot of ships in the area, pings may only be infrequently received.

VMS systems can handle a lot more signals than AIS, and better manage problems like colliding messages from multiple ships. However, the cost per message is relatively expensive, so government agencies often dial the systems back to receive fewer messages from ships in a given time period. According to Aaron, if Aesop were still around, he would call VMS the tortoise, and AIS the hare.

Despite these differences, initial integration test results have been positive, with the VMS data adding a tremendous amount of new data to GFW. Below, you can see the difference between Global Fishing Watch with and without the VMS data. AIS data is shown in green and the new Indonesian VMS data in white:

You can see it here in full-screen mode:

We are lucky to have Imam Prakoso, our “on-the-ground” guy in Indonesia, working on this project. With his engineering background, he provides support to the analysis and helps out with language translation. He’s been pivotal in terms of being able to meet regularly with KKP staff and in navigating the ministry’s organizational structure.

Brian Sullivan, Paul Woods, Imam Prakoso and Aaron in Jakarta

Chris Wilcox‘s team at CSIRO, currently consulting with the KKP, has been hugely helpful as well. With our data and algorithms, and his analytical acumen, we believe we’re in a strong position to help out multiple teams within the KKP.

None of this would have been possible without Minister Susi’s innovative approach to fighting IUU fishing, and the generous financial support of the David and Lucile Packard Foundation and Walton Family Foundation.

Transparency in commercial fishing benefits everyone (with the possible exception of those engaging in illegal activities). More accurate data in commercial fishing will allow for better regulation, management, and sustainability of an important food and job source in the future. We hope that other governments will follow Minister Susi’s bold initiative and make their own fishing data transparent. With Aaron on the team now, we’re ready to help!

Mystery Moves: What is the Chinese Squid Fleet Doing in the Pacific?

Over the past couple of months, SkyTruth analyst Bjorn Bergman has been watching some interesting activity by the Chinese fishing fleet in the Pacific. A large Chinese flagged squid-fishing fleet had been fishing at the boundary of Peru’s exclusive economic zone (EEZ) throughout the summer and fall of 2016. Then, near the middle of December, many of them suddenly began migrating some 3,000 miles to the northwest.

At their new location, around 118 degrees West longitude and just north of the equator, they met up with another group of Chinese-flagged vessels. These vessels had just moved to this remote part of the Pacific about a week or two earlier. Some arrived from China and Indonesia, and some came directly from fishing just outside the Japanese EEZ.

This screen shot from the Global Fishing Watch map shows the movement of 55 Chinese flagged vessels from early November 2016 through February 5, 2017. You can see vessels moving to a single location around 118 degrees West longitude from the western Pacific (red tracks), and from the squid fishing grounds just outside the Peru EEZ (blue tracks). Some vessels off the Peru EEZ also moved south to Argentina. You will find a link to see these tracks on the live map at the bottom of this post.

When fishing for squid, fishers use powerful lights to attract the animals to the surface for an easy catch. This nighttime VIIRS imagery from the Suomi-NPP satellite, taken on January 29, 2017, shows the lights of Chinese squid fishing vessels off of Peru, and at the new location in the middle of the Pacific.

The same pattern is seen using satellite signals from fishing vessels.

This Global Fishing Watch heat map shows the AIS signals from fishing vessels from January 9 to February 2, 2017. With one fishing track defined in blue, we can see the path of the Chinese squid fleet moving from just outside the Peru EEZ to a location on the high seas.

The new location of these vessels is not known for squid. It is also an unlikely habitat as squid usually live near continental shelves and canyons where there are steep changes in water depth. It’s unclear what the vessels are fishing for now, but the sudden move from the eastern Pacific may be a reflection of a dwindling catch.

Usually Chinese flagged squid fishers operating around South America concentrate off of Peru in the Pacific and Argentina in the Atlantic Ocean. For the past few years, some squid-fishing fleets have seen their catch decline in both regions.  Undercurrent News reports that some Taiwanese boat captains abandoned squid altogether because of low catch. They are now targeting Pacific saury (mackerel pike), which is found in the north Pacific.

Perhaps the Chinese fleet around South America has also given up on catching squid. We noted that when many of the Chinese vessels off Peru began moving to the northwest, some of them turned south, headed for Argentina, but according to Undercurrent, Chinese captains who moved to Argentina said they wish they had stayed in Peru because the catch was so bad.

The fleet that stayed in Peru may not have fared much better. By February 7, only three Chinese squid-fishing vessels remained in that location. Why so many have moved some 3,000 km to the northwest, and what they’re fishing for now remains a mystery to us. Whatever it is, it’s also drawn a crowd of Chinese vessels from the western Pacific. We checked in with the Southern Pacific Regional Management Organization that has jurisdiction over the area, and even they are not sure what the sudden change in location by this fleet means. 

We would be very interested to hear from anyone who can help explain it.

Click here to see these vessels on the Global Fishing Watch Map where you can manipulate the time frame, zoom in, add vessels. Note: you will need to be registered to access the map (it’s free). If you are already a registered user, and the map link isn’t working, please log in then copy the link into your browser. http://globalfishingwatch.org/map/workspace/udw-627b8ae0-02f3-4fd1-b080-119462b69c8c 

Press roundup from the public launch of Global Fishing Watch

ourocean-prelaunch-14sep2016

Last month marked a big moment for SkyTruth: the public launch of Global Fishing Watch (GFW) with our partners Google and Oceana at the State Department brought an avalanche of great press that we’re excited to share with all you skytruthers.

The UK’s Daily Mail covers Leonardo DiCaprio’s interest in and support of the project. Read Leo’s remarks and Secretary Kerry’s introduction via the State Department transcript here. Scientific American gives our algorithm some props. The New York Times’ Andrew Revkin urges readers to register and explore GFW directly. See how the Washington Post places GFW in the context of broader ocean conservation efforts. Noted enviro reporter Chris Pala gives readers a glimpse of our work with research partners. Vox highlights the potential of GFW and gives a nod to SkyTruth’s past successes using satellite mapping. Find out about the way GFW can harness market forces to encourage more responsible fishing practices from Lauren Williams at ThinkProgress. Ted Danson gives SkyTruth and GFW some love on the Rachael Ray show (second video — good stuff starts around the 2:20 mark).

And this is just a sampling. All in all we had over 200 unique hits in press outlets around the world, creating a surge of interest not just in SkyTruth and in Global Fishing Watch but moreover in the power of sharing technology with the public to solve big environmental problems. Our team worked hard with our partners to make this moment possible. We will be growing and improving Global Fishing Watch in the months to come. In the meantime, we’ll be chewing on the question: what’s the Next Big Thing? Stay tuned.

Global Fishing Watch Goes Live

SkyTruth is helping make the world’s oceans a little less mysterious and a great deal more transparent with the public beta release of Global Fishing Watch, announced today at the Our Ocean Conference in Washington, DC. Actor and ocean advocate Leonardo DiCaprio announced in his remarks to the conference that Global Fishing Watch is now free and open to the public, and U.S. Secretary of State John Kerry personally received a demonstration of the tool from the Oceana, SkyTruth, and Google team.

In partnership with Oceana and Google, Global Fishing Watch was designed, developed, and tested by SkyTruth to enable users to map and analyze all of the world’s trackable commercial fishing activity. Global Fishing Watch is the world’s first dynamic, global, near real-time measure of fishing activity.

SkyTruth is proud to make this tool available to the public, enabling researchers, advocates, regulators, consumers, and industry to shine a light on fishing activity and pierce the fog of uncertainty surrounding global seafood supply chains.

fleets

Above: With Global Fishing Watch, users will easily be able to visualize when and where fishing activity occurs. This visualization depicts six months of fishing activity by three of the world’s most prolific fleets – fishing vessels flagged to China, Japan, and Spain.

Our oceans are under pressure from overfishing, and recent stories about crime on the high seas have riveted the public’s attention. Global Fishing Watch gives legal operators a way to show the world they’re playing by the rules and that they deserve access to premium seafood markets. Global Fishing Watch provides regulators with an easy way to visualize their own data, and GFW will empower citizens and indigenous peoples to hold regulators accountable for enforcing the rules.

Oceana, SkyTruth, and Google unveiled the prototype in November 2014 at the IUCN World Parks Congress in Sydney, Australia. Today, Global Fishing Watch unlocks the power of machine-learning, mapping, and a near real-time feed of satellite data to anyone with a modern computer and decent internet connection.

When Vessels Report False Locations

Lu Yan Yuan Yu 10 TPY9 offset GE inset logo

The red tracks show the broadcast position of the Lu Yan Yuan Yu 10 apparently transiting across Antarctica (inset). The yellow tracks show its true location along the coast of South America passing through the Strait of Magellan and into port at Lima, Peru.

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 vessel’s location. Read more

Scientists develop precise methods to identify and measure three very different types of fishing activity

Scientists develop precise methods to identify and measure three very different types of fishing activity

Scientists develop precise methods to identify and measure three very different types of fishing activity

On dry land, ecologists and conservationists can map our human footprints on the landscape. We can see deforestation, mountaintop removal, river damming and development, and it is relatively easy to recognize our impacts on an ecosystem and the plants and animals that live there.

In the ocean, our impacts are less tangible. Water covers more than 70 percent of the surface of the globe and its resources are exploited as vigorously as those on land. Yet our footprints are lost to the ripples and waves. The effects of our exploits lie beneath the surface in a three-dimensional, liquid “landscape” that remains out of sight and far from reach.

Satellite tracking technology and big-data processing are helping solve that problem by allowing us to see and record the tracks of ships on the ocean. This week, a new study released in the journal PLoS ONE brings finer resolution to our newly developing view of how humans are using the seas. Researchers from Dalhousie University in Halifax, Nova Scotia have developed distinct methods for identifying the activity of vessels fishing with three different types of gear.

Commercial fishing vessels regularly broadcast their positions to satellites via an Automatic Identification System (AIS). By plotting these signals on a map of the ocean we can recreate their tracks and identify movement or behavior consistent with fishing. Until now, remote sensing methods have provided only a broad or incomplete view of fishing behavior.

The broad view, which tries to capture all fishing activity without considering the type of gear being used, is somewhat like trying to quantify land-based farming for a given area without distinguishing between livestock, row-crops or orchard farming.

There has also been work to develop more fine-scale views that focus in on a specific type of fishing. Previous studies have looked at trawling, for instance. While this work is significant, it doesn’t allow for a comprehensive view of fishing activity. Again, to take an analogy from the land, analyzing wheat farms doesn’t allow us to make conclusions about land use relative to all farming.

This new work allows researchers to take a comprehensive look at how fishers use the oceans by combining fine-scale analyses of three of the most common types of fishing, trawling, longlining and purse seining. It also allows them to see the amount of time spent actually fishing as opposed to something else such as transiting or hanging at anchor.

“We’re very much aware of the differences of the gear types, and we’ve tailor made our algorithms for that so we can really tell what is happening out there,” says Kristina Boerder, one of our academic partners and an author on the paper. “Because all three algorithms were developed in one place to fit into the same framework, it is the first opportunity to run these analyses all together.”

According to Elizabeth Madin, researcher from Macquarie University in New South Wales Australia, this work helps to fill critical gaps in the scientific understanding of how and where fishing is occurring on the high seas. “It’s something that’s been notoriously difficult to quantify over large scales with any accuracy in the past,” she says. “Perhaps equally importantly, this study improves our ability to harness the full power of the vast dataset of fishing patterns globally that has emerged through the use of satellite AIS technology. Marine scientists and ocean resource managers will find this incredibly valuable.

To develop their tools, Kristina and her team analyzed satellite-based AIS tracks from 2011 to Oct 2015. They looked at characteristics such as speed, changes in direction, how a vessel moves, and how long it engages in certain types of movement. Some characteristics were more important than others in identifying each type of gear. So in order to automate the identification process, they had to take a different approach for each fishing method.

For trawlers, they applied a machine learning approach. They fed a computer thousands of examples of trawling vessel tracks (millions of individual AIS signals) and asked the computer to identify patterns among those tracks. Having established the set of rules to define trawler patterns, the computer could then apply those rules to unidentified tracks and pick out trawling behavior.

Purse seiner behavior is distinct in that vessels move very quickly in a circle around a school of fish to set the net, then move very slowly for a period of time, drifting as they haul up their nets. For these vessels, the researchers applied a filtering process by which, step-by-step, the computer eliminated behavior that did not fit with the behavior of pulling up the net. By re-evaluating after each filter, and applying the next level of elimination, the algorithm narrowed in on purse seine fishing events with 97 percent accuracy.

Longliners posed a slightly different challenge because speed was not as relevant to longlining as it was to the other two gear types. In this case, the researchers used a data mining technique and applied methodology from land-based ecologists who study animal movements. Other work has shown that human fishing activity resembles that of animals searching for and hunting prey. “If an animal spends a lot of time in one confined area,” Kristina says, “there has to be something of interest there—they could be sleeping, or foraging, or hiding.” Longliners offer the same clues by spending a lot of time traveling back and forth over the same territory as they set and retrieve their lines and hooks.

Kristina says the team fed AIS signals into their computer and asked the computer to mine the data and pull out tracks that met a certain set of expectations for what longliner fishing behavior over time and space looked like. Evaluating each vessel track, the computer took note when a vessel began to behave according to the expectations given. It then applied the next level of expectations, highlighting tracks that met those, and re-evaluated again. This is the first time an automated process has been developed to identify fishing activity of longliners.

The new Dalhousie algorithms can be a game changer for fisheries management and conservation, especially in combination with Global Fishing Watch’s list of individual fishing vessels, which helps identify the species of fish being harvested. Knowing where and when a given species is being taken from the ocean allows for a much better assessment of fisheries management on a global scale.

Researchers will be able to study more precisely how human activity overlaps with such things as migration patterns of tuna, nursery areas for sharks, or ecosystems surrounding marine protected areas. “It is a tailor-made approach that can be used to search and evaluate fishing effort for any fleet anywhere in the world,” says Kristina. “We hope that other researchers and ocean managers will use our tools to further their work. It opens the door to a whole host of research questions that couldn’t be asked before.”