Bilge Dumping Caught in Indonesia – Again!

SkyTruth identified the bulk carrier Lumoso Aman as the likely polluter via AIS and satellite imagery.

On October 10, 2019, SkyTruth discovered yet another likely bilge dumping incident in Southeast Asian waters. At 10:25:26 UTC (Coordinated Universal Time), Sentinel-1 Imagery captured this oily pollution during routine monitoring of the Makassar Strait. Lingering off the southwest coast of Sulawesi, Indonesia, this oil slick measures approximately 33 kilometers long. The slick and the suspected responsible vessel (circled in red in Figure 1 below) appear roughly 100 kilometers west of the coast of Makassar, the capital of Sulawesi. Makassar is a port city with active commerce and tourism.

Figure 1: A vessel suspected of bilge dumping.

We identified the potential culprit through AIS (Automatic Identification System) broadcasts from the Lumoso Aman (Figure 2), a bulk cargo carrier operating under the flag of Indonesia. 

Figure 2: A picture of the Lumoso Aman, courtesy of Vessel Finder.

Bilge dumping is the disposal of waste water from a ship’s lower hull. Bilge water is supposed to be treated before it’s discharged, but sometimes vessel operators will bypass the pollution control equipment and flush oily, untreated bilge into the ocean – in direct violation of international marine pollution law. You can learn more about this ongoing source of ocean pollution, and how SkyTruth identifies perpetrators, in our recent post about bilge dumping in Southeast Asia.

Our motto at SkyTruth is “If you can see it, you can change it.” We tirelessly monitor the ocean with this vision in mind, to be watchdogs and defenders of our Earth’s waters. No matter how remote these areas of pollution appear to be, we can see them with satellite images. These seemingly remote bodies of water are connected to waters throughout the world. Just as air pollution migrates between contiguous countries or states, oil pollution can find its way to any coastline and harm coastal environments and communities. With continued monitoring, we hope that nations, communities, and enforcement agencies can hold ship operators accountable, making it clear that bilge pollution is an unacceptable threat to the world’s ocean ecosystems. 

Figure 3: SkyTruth intern Tatianna Evanisko tracks polluting vessels around the world from the SkyTruth offices in Shepherdstown WV. Photo credit: Johnna Armstrong.

What About the Oceans? Mapping Offshore Infrastructure

Mapping stationary structures in the ocean helps us track fishing vessels and monitor pollution more effectively.

We’re all accustomed to seeing maps of the terrestrial spaces we occupy. We expect to see cities, roads and more well labeled, whether in an atlas on our coffee table or Google Maps on our smartphone. SkyTruthers even expect to access information about where coal mines are located or where forests are experiencing regrowth. We can now see incredibly detailed satellite imagery of our planet. Try looking for your house in Google Earth. Can you see your car in the driveway?

In comparison, our oceans are much more mysterious places. Over seventy percent of our planet is ocean, yet vast areas are described with only a handful of labels: the Pacific Ocean, Coral Sea, Strait of Hormuz, or Chukchi Sea for example. And while we do have imagery of our oceans, its resolution decreases drastically the farther out from shore you look. It can be easy to forget that humans have a permanent and substantial footprint across the waters of our planet. At SkyTruth, we’re working to change that.

Former SkyTruth senior intern Brian Wong and I are working to create a dataset of offshore infrastructure to help SkyTruth and others more effectively monitor our oceans. If we know where oil platforms, aquaculture facilities, wind farms and more are located, we can keep an eye on them more easily. As technological improvements fuel the growth of the ocean economy, allowing industry to extract resources far out at sea, this dataset will become increasingly valuable. It can help researchers examine the effects of humanity’s expanding presence in marine spaces, and allow activists, the media, and other watchdogs to hold industry accountable for activities taking place beyond the horizon.

What We’re Doing

Brian is now an employee at the Marine Geospatial Ecology Lab (MGEL) at Duke University. But nearly two years ago, at a Global Fishing Watch research workshop in Oakland, he and I discussed the feasibility of creating an algorithm that could identify vessel locations using Synthetic Aperture Radar (SAR) imagery. It was something I’d been working on on-and-off for a few weeks, and the approach seemed fairly simple.

Image 1. SkyTruth and Global Fishing Watch team members meet for a brainstorming session at the Global Fishing Watch Research Workshop, September 2017. Photo credit: David Kroodsma, Global Fishing Watch.

Readers who have been following SkyTruth’s work are probably used to seeing SAR images from the European Space Agency’s Sentinel-1 satellites in our posts. They are our go-to tools for monitoring marine pollution events, thanks to SAR’s ability to pierce clouds and provide high contrast between slicks and sea water. SAR imagery provides data about the relative roughness of surfaces. With radar imagery, the satellite sends pulses to the earth’s surface. Flat surfaces, like calm water (or oil slicks), reflect less of this data back to the satellite sensor than vessels or structures do, and appear dark. Vessels and infrastructure appear bright in SAR imagery because they experience a double-bounce effect. This means that — because such structures are three-dimensional — they typically reflect back to the satellite more than once as the radar pulse bounces off multiple surfaces. If you’re interested in reading more about how to interpret SAR imagery this tutorial is an excellent starting point.

Image 2. The long, dark line bisecting this image is a likely bilge dump from a vessel captured by Sentinel-1 on July 2, 2019. The bright point at its end is the suspected source. Read more here.

Image 3. The bright area located in the center of this Sentinel-1 image is Neft Daşları, a massive collection of offshore oil platforms and related infrastructure in the Caspian Sea.

Given the high contrast between water and the bright areas that correspond to land, vessels, and structures (see the vessel at the end of the slick in Image 2 and Neft Daşları in Image 3), we thought that if we could mask out the land, picking out the bright spots should be relatively straightforward. But in order to determine which points were vessels, we first needed to identify the location of all the world’s stationary offshore infrastructure, since it is virtually impossible to differentiate structures from vessels when looking at a single SAR image. Our simple task was turning out to be not so simple.

While the United States has publicly available data detailing the locations of offshore oil platforms (see Image 4), this is not the case for other countries around the world. Even when data is available, it is often hosted across multiple webpages, hidden behind paywalls, or provided in formats which are not broadly accessible or useable. To our knowledge, no one has ever published a comprehensive, global dataset of offshore infrastructure that is publicly available (or affordable).

Image 4. Two versions of a single Sentinel-1 image collected over the Gulf of Mexico, in which both oil platforms and vessels are visible. On the left, an unlabelled version which illustrates how similar infrastructure and vessels appear. On the right, oil platforms have been identified using the BOEM Platform dataset.

As we began to explore the potential of SAR imagery for automated vessel and infrastructure detection, we quickly realized that methods existed to create the data we desired. The Constant False Alarm Rate algorithm has been used to detect vessels in SAR imagery since at least 1988, but thanks to Google Earth Engine we are able to scale up the analysis and run it across every Sentinel-1 scene collected to date (something which simply would not have been possible even 10 years ago). To apply the algorithm to our dataset, we, among other things, had to mask out the land, and then set the threshold level of brightness that indicated the presence of a structure or vessel. Both structures and vessels will have high levels of reflectance. So we then had to separate the stationary structures from vessels. We did this by compiling a composite of all images for the year 2017. Infrastructure remains stationary throughout the year, while vessels move. This allowed us to clearly identify the infrastructure.

Image 5. An early version of our workflow for processing radar imagery to identify vessel locations. While the project shifted to focus on infrastructure detection first, many of the processing steps remained.

Where We Are Now

Our next step in creating the infrastructure dataset was testing the approach in areas where infrastructure locations were known. We tested the algorithm’s ability to detect oil platforms in the Gulf of Mexico, where the US Bureau of Ocean Energy Management (BOEM) maintains a dataset. We also tested the algorithm’s ability to identify wind turbines. We used a wind farm boundary dataset provided by the United Kingdom Hydrographic Office to validate our dataset, as well as information about offshore wind farms in Chinese waters verified in media reports, with their latitude and longitude available on Wikipedia.

Image 6. Wind farms in the Irish Sea, west of Liverpool.

Our results in these test areas have been very promising, with an overall accuracy of 96.1%. The methodology and data have been published by the journal Remote Sensing of Environment. Moving beyond these areas, we are continuing to work with our colleagues at MGEL to develop a full global dataset. What started as a project to identify vessels for GFW has turned into an entirely different, yet complementary, project identifying offshore infrastructure around the world.

Image 7. This animated map shows the output of our offshore infrastructure detection algorithm results (red) compared to the publicly available BOEM Platform dataset (yellow).

In addition to helping our partners at Global Fishing Watch identify fishing vessels, mapping the world’s offshore infrastructure will help SkyTruth more effectively target our daily oil pollution monitoring work on areas throughout the ocean that are at high risk for pollution events from oil and gas drilling and shipping (such as bilge dumping). This is also the first step towards one of SkyTruth’s major multi-year goals: automating the detection of marine oil pollution, so we can create and publish a global map of offshore pollution events, updated on a routine basis.

Be sure to keep an eye out for more updates, as we will be publishing the full datasets once we complete the publication cycles.

Taylor Energy Oil Spill: This Is How Change Happens

Recently a front-page article ran in The Washington Post, describing the ongoing, 14-year-long leak of crude oil from hurricane-damaged wells at the former location of an oil platform in the Gulf of Mexico, operated by a company called Taylor Energy.  The article stated that — based on the latest scientific estimates of the leak rate — the Taylor spill was about to surpass BP’s disastrous 2010 blowout in the Gulf, becoming the world’s worst oil spill.  News outlets around the world pounced on this headline, shining a global spotlight on this egregious chronic leak. Within weeks the US Coast Guard announced they had finally ordered Taylor Energy to fix the leak or face a daily $40,000 fine.  The team at SkyTruth was thrilled when we heard the news: when Taylor finally fixes the leak, this will be a great result for the environment in the Gulf and will send a strong message to the offshore oil industry that we won’t let them walk away from their messes.  And, this is the vindication of eight years of persistent, dogged work by SkyTruth and our partners.

Taylor Energy - Washington Post

Source: The Washington Post, October 21, 2018

How did we achieve this significant victory for the environment and the people of the Gulf Coast?  We….  

  • Built partnerships.  We teamed up with Southwings and Waterkeeper Alliance to form the Gulf Monitoring Consortium.  Gulf-area citizens groups, notably the Louisiana Environmental Action Network, Louisiana Bucket Brigade, and Gulf Restoration Network soon joined, giving us the ability to monitor, investigate, and systematically document the Taylor spill from space, from small aircraft, and on the water.  Alerted by our work, researchers from Florida State University conducted their own independent sampling and measurements, bringing a higher level of scientific expertise to the growing public scrutiny of this continuous pollution event.  
  • Worked with journalists to help them understand the significance of this unchecked spill.  Our methodical, transparent, and conservative analysis helped us build a reputation as being a trustworthy source of credible information.  We developed long-running relationships with journalists, particularly Mike Kunzelman at The Associated Press.  Reporters reached out for our comments and expert insights whenever new information or developments in the Taylor saga came to light.  These relationships resulted in dozens of articles in major media markets over the years, helping to maintain public attention and interest, and a steady drumbeat of public criticism.

And finally, an hour-long interview with Washington Post reporter Darryl Fears resulted in an article that triggered Coast Guard action.  Now, of course, we will continue to monitor the Taylor Energy leak to ensure that effective action is taken.  And we’ll let the world know what we see.

This is what it takes, to make positive change happen for the environment.  We’d like to thank the foundations and individuals who have donated to SkyTruth, making it possible for us to dedicate the time and resources to sustaining this watchdog effort over so many years.  We couldn’t have done it without you.

Please help us keep it going.  Donate to SkyTruth today!

The SkyTruther path: an intern’s excursion to understanding offshore oil (part I)

Practice does not guarantee perfection but it is a diligent educator. During my first week of orientation at SkyTruth, the other interns and I filtered through Sentinel 1 radar satellite imagery on the European Space Agency’s (ESA) online portal, compressed large .tiff image files using the command-line, and constructed final, publishable visuals in QGIS – a free, open source geographic information system (GIS), enabling users to create, view, edit, and analyze geospatial data. Essentially, we learned the fundamentals of finding, processing, and analyzing imagery.

Subsequent to grasping the basics, I worked on catching my first ocean offender by clicking through images, zooming in and out of rasters, and adjusting min and max values. Eventually, I spotted several shadowy slithers. Possible identification: oil leak.

Oil slicks off the coast of China.

The first image I discovered at SkyTruth.

Before hopscotching to conclusions, I checked in with mentor, Dr. Ry Covington (Doctorate of Philosophy; he’s not the medical type but he knows a thing about bodies – bodies of water, that is). Without hesitation, Ry confirmed my sighting as plausible. Three likely slicks from three unidentified sources. Mission success, phase two initiated: annotate.

When annotating an image, there are certain guidelines to follow. Most of the metadata – basic information needed to read a visual such as image credit/source, author, scale-bar, and date – is there. However, I did not include any boxed nouns or pointy things denoting the white zit-like points, or running, dark mascara streaks. Reflecting, I should have marked up this version more; I should have labeled the several pimples as unidentified sources, and measured the length of the eyelash-lacquer lines, ticketing them as slicks. Instead, I let the caption clamor over the image.

My first caption went something like this: “This image displays three leaks from several unidentified sources, off the coast of Guangzhou Province, China (near Hong Kong).”

That was all I got. New to the practice in general and unfamiliar with that latitude, I didn’t have much to say. So to boost productivity, I harvested a separate, bluer pair of eyes. My advisor with three first names, Christian James Thomas, looked over my caption. He was particularly picky with diction. One word, to be precise: leaks. Backspacing five times, Christian typed ‘slick’. Slick? Like ‘smooth’ or ‘glossy’? Or maybe like Eric Slick, the drummer of my favorite band, Dr. Dog? I wish, but certainly not.

‘Slick’ has various definitions, but to the SkyTruth team, slick typically describes flat water. Smooth surfaces on satellite radar imagery could signify oil, algae, lack of wind, or the like. What we are interested in is the accidental or purposeful release of oil or oily waste that may be a result of drilling, disposal, or disaster. Leak or spill is too specific, too assuming. I learned why this was after confusing slicks with a number of other ocean junk. When examining satellite evidence, slicks are often muddled by air and ocean current due to lag time between spill and image capture – this phenomenon also contributes to why some slicks exist without suspect in sight. Other times, slicks can be confused with false positives from weather events, natural disasters, coastal features, natural seeps, and other anomalies.

Bilge dumps off the coast of China.

This figure displays two likely slicks from intersecting bilge dumps off the coast of China. Due to their kinky shapes, these slicks are likely several days old; this image also shows the influence of time and natural forces on slick appearance.

Although I discovered how to be more transparent with terminology and make better imagery-based speculations, I did not know enough about slicks themselves. Oil naturally exists in the earth, and we harvest it to power our consumptive, energetic lifestyles. Sometimes, the oil itself leaks. In other other cases, wastewater produced during offshore drilling processes is released by us. This produced water is known as brine. Brine contains inorganic substances, toxic matter, and variably sized oil particles that must be properly disposed of or treated before release; it can be treated on platform and discharged into open water, transported to an offsite facility treatment or disposal facility, or put into beneficial reuse – for irrigation, recycled flowback fluid for other drilling operations, or as a substance for ice control (“Produced Water 101”, 2017).

Unlike shoplifting or arson, oil slicks are not always a result of unlawfulness. Some slicks are consequences of legal dumping – legality depending on individual cases in regard to international and country approvals. Accidental spills and leaks also occur and must be cleaned up. However, not all slicks are legally permitted or accidental and concern arises when oil slicks appear without record. Bilge dumping is one indicator of purposeful, often illegal, offshore pollution. To relieve ship weight and space, ships release oily waste from their engine and fuel systems, flushing residual material out of their cargo holds. This is highly illegal, as noted by a case in 2016, when Caribbean Princess, a luxury cruise ship under Princess Cruises, was fined $40 million for illegally discharging thousands of gallons of bilge. Senior intern, Daniel Nicholls, spotted a similar incident with another Princess Cruises ship in late January, indicating an ongoing dilemma.

A bilge dump from the Sapphire Princess.

Nicholls’s annotated Sentinel 1 radar satellite image of possible bilge dumping by Caribbean Princess-owned cruise ship, Sapphire Princess, as it heads towards Kuala Lumpur, Malaysia. Check out the full post here.

Now, I understand slicks not just as mascara tears or eyeliner blunders across a wrinkled ocean display; but as oily remnants with purpose and disposition. This comprehension allows me to more appropriately identify and interpret oil slicks in marine environments. As valuable as this was process and realization was, I registered that the beluga colored specks, aka the potential sources of the slicks, were still unidentified. Probably boats….

Who’s to blame? The murky dilemma of oil spill accountability

As global energy consumption continues to grow, Trinidad and Tobago — a small, Caribbean nation rich in oil and gas resources — has become one of the top exporters of liquified natural gas (LNG) in the world.  But the benefits to the economy of Trinidad and Tobago have come with a cost: chronic leaks and spills from aging oil and gas infrastructure on and offshore.

In early July, an abandoned oil well off of the west coast of Trinidad ruptured, sending dangerous hydrocarbons spewing into the ocean.  Trinidad and Tobago’s state-owned oil company Petrotrin stepped in to help address the rupture, but six days after the orphaned well erupted, the Ministry of Energy was still trying to determine which private company was responsible.

Insufficient documentation and incomplete record-keeping makes response efforts more difficult.  Gary Aboud, Corporate Secretary of Trinidad and Tobago’s Fishermen and Friends of the Sea (FFOS), summed up the the deeper issue in Trinidad concisely: Who is the responsible party? Nothing has been done all week…There are literally hundreds of decades-old, capped, orphaned or abandoned wells which may not have been properly decommissioned, and are corroding.”

Map of Trinidad and Tobago's energy resources.

Energy map of Trinidad and Tobago. Source: The National Gas Company of Trinidad and Tobago.

Better documentation about ownership and better geospatial data showing oil and gas fields, pipelines, and abandoned wells would be a step in the right direction.  Some of this information is available but, as the map above shows, much of it is in a form that is very difficult to use. This energy map is pretty ‘busy’ — the various oil fields, gas fields, and pipelines depicted together make it difficult to use, especially in a crisis scenario like responding to an oil spill.

Officials need a comprehensive geospatial data set — filled with attributes like ownership or responsible party — that they can easily examine, especially during crises like this one.  One of my tasks as an intern at SkyTruth has been to pick apart the existing information (including the map above) and provide it as a robust geospatial data set that’s easy for the public to use.

A map of Trinidad and Tobago's gas fields and gas pipelines.

Gas fields and gas pipelines in Trinidad and Tobago, digitized from the map above.

I’ve digitized all of the oil and gas fields, pipelines, and existing platforms around Trinidad and Tobago, and I’m constantly adding in new fields and data that I’m collecting about these features.

Map of Trinidad and Tobago's oil fields and oil pipelines.

Oil fields and oil pipelines in Trinidad and Tobago, digitized from the map above.

I’m using these new data sets — combined with Sentinel 1 radar satellite imagery — to help monitor oil leaks and spills around Trinidad and Tobago like the one described above.  Having better geospatial data will improve not only how companies handle clean-ups, but will also provide local fisherfolk with more insight into leaks and spills from oil infrastructure as they happen.