The hyperspectral view from space

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Abigail Williams speaks to scientists tracking marine plastic using satellite spectral imagery

Mathias Bochow, GFZ Helmholtz Centre, Potsdam, is working on the Trace project to track marine plastic. Credit: Frank Schweikert, Aldebaran Marine Research & Broadcast (www.aldebaran.org/en/)

Hyperspectral imaging and remote sensing are emerging as key tools for tracking plastic pollution in the world’s oceans. There’s a lot of scientific research using satellite images, and the European Space Agency is supporting a number of remote sensing projects in this area.

Projects like Trace, which uses hyperspectral data from the Italian Space Agency’s Prisma satellite (see the glossary for a list of satellites mentioned in this piece), along with other satellite imagery, to develop a system to track large marine litter and accumulation zones in oceans.

Mathias Bochow, environmental scientist at the Helmholtz Centre, Potsdam, part of the GFZ German Research Centre for Geosciences, is working on the project. He said: ‘While high-resolution, multispectral data enables tracking of floating objects, only hyperspectral data enables material identification. We need to capture a hyperspectral image of a location that allows us to assume where floating litter will be over the next few days to be able to say it is really marine litter and not drifting algae or wood.’

In addition to the Prisma images – and EnMap images once launched – data from multispectral satellites in the PlanetScope constellation were used, alongside the Tiresias oceanographic forecasting model developed by CNR-ISMAR.

Bochow noted the ability to track floating objects has only become possible following the launch of the PlanetScope satellite fleet, which captures images from locations around the Earth every day. Although the fleet is typically only used to obtain images over land and coastal zones, images were recorded over the Adriatic Sea for this project.

‘High frequent imaging over time enables tracking of floating objects when linked with an oceanographic forecasting system. We are about to find out how well this works over the next month,’ said Bochow.

Spectral capabilities in the shortwave infrared (SWIR), between around 1,000nm and 2,500nm, are important for identifying plastics, because of the material’s spectral fingerprint at these wavelengths. According to András Jung, co-founder of spectral camera firm Cubert, hyperspectral imaging can be used to sort plastic at a macroscopic level, such as everyday waste products from household or industry. He said there are many successful applications between 400nm and 1,000nm for this. But hyperspectral imaging can also be used to detect microplastics in water, and in this case the SWIR region is more useful.

Professor Jonathan Chan, ETRO guest professor at the Vrije Universiteit Brussel, noted that the ideal sensor to detect marine plastic should possess more spectral measurement capabilities at SWIR wavelengths.

Chan is working on the Muss2 project, which is using spectral and spatial enhancement methods to generate simulated Earth orbit hyperspectral shortwave infrared images and data from the Copernicus Sentinel 2 satellite using spectral response function modelling.

Hyperspectral images taken from Earth orbit are not always available and their coverage is not as large as conventional missions, such as Landsat and Sentinel. To overcome these limitations, Chan said the Muss2 team will apply a sparse theory-based method to enhance multispectral images from the Sentinel 2 satellite. The expected results are what he described as synthetic Sentinel 2 hyperspectral images at a spatial resolution of 10m, with the same coverage as Sentinel 2 multispectral images.

‘So far, we have been able to generate such images based on Hyperion and Prisma spectral configurations, [and] quantitative assessments are promising,’ he said. ‘In addition, we apply a deep learning-based method for the spatial enhancement of Prisma images to assist in the detection of smaller objects.’

Chan added: ‘All the data inputs for the project are from open sources, including Sentinel 2, Hyperion and Prisma. The launch of Prisma in 2019 was a major milestone, and soon EnMap will be launched. These are full stretch hyperspectral images at 400-2,500nm with hundreds of spectral bands and represent the most powerful Earth orbit data source for environmental monitoring. The potential is not yet fully understood nor exploited, and scientific communities are just beginning to understand all the pre-processing protocols and data quality issues.’

Signed, sealed, delivered

Another interesting initiative is the Spots project, which aims to study the hyperspectral signature of floating plastic debris under less-than-ideal circumstances. As Robin de Vries, geospatial analyst at The Ocean Cleanup non-profit organisation, explained, hyperspectral satellite data has the potential to be a key component in the remote sensing of floating plastic debris.

He said: ‘The hyperspectral signature is affected when plastic is submerged, or when it becomes covered by biological growth over time, known as biofouling. The Spots project is important because many studies have only investigated the detection of floating plastic under ideal conditions.’

The key objectives of the Spots project are to gather a spectral library of different plastics under varying water depth and biofouling scenarios, and to explore predictive models to estimate depth of water, material type and degree of biofouling from the hyperspectral signature.

According to de Vries, the project team has already collected most of the laboratory and field data and, although it is too early to share any definite results, he said the scientists are already finding that material thickness and water depth have profound and sometimes unexpected effects on the hyperspectral signature of plastics.

Throughout the project the Spots team will make use of a range of hyperspectral imaging technology, including a Bayspec OCI-F imager, a Spectral Evolution SR-3501 spectrophotometer, and a Specim IQ snapshot hyperspectral camera.

‘This equipment is only suitable for use in controlled environments,’ de Vries explained. ‘This means that we collect data of plastic in a controlled environment, to learn how we can best extrapolate it to applied remote sensing in the future.’

He added: ‘At this stage, it is challenging to apply multispectral and hyperspectral sensors in the field for applied remote sensing for dispersed marine litter. The main reasons for this are the relatively high cost of the equipment and the limited spatial resolution, as well as the long sensor integration times, compared with a dynamic environment such as flowing rivers or ocean waves.’

Polarised potential

Elsewhere, the Ocean Plastics Polarisation Properties (OP3) project is focused on obtaining fully characterised polarisation signatures of plastic marine litter in relation to other natural seawater constituents. This is through a combination of laboratory experimentation, in situ measurements and existing polarisation data from satellite missions, such as Parasol.

As Tristan Harmel, research scientist at Géosciences Environnement Toulouse, explained, remote sensing of plastic marine litter can be challenging because of the very high water absorption in the NIR-SWIR range, and the signal being masked during atmospheric correction.

Harmel said that complementary optical information is needed to detect plastics in the oceans. The polarisation state of light leaving water has been shown to be a significant tool to disentangle complex marine signals to retrieve water constituents.

To sense the two important elements of polarisation and directionality, Harmel explained that specific setups are needed in the laboratory, as well as in the field and from satellite platforms. For the latter, he said the historical French mission, Parasol, which contained the Polder instrument, was of particular interest because Polder sensors provided polarisation at three spectral bands (blue, red and near infrared) for up to 16 different viewing directions.

Image from the Ocean Plastics Polarisation Properties project, which aims to characterise polarisation signatures of plastic marine litter. Credit: OP3

Moving forward, he said the next generation of satellite polarimeters will also provide a much more refined dataset encompassing the visible, NIR and SWIR bands. These include the 3MI instrument, to be launched on the Eumetsat Metop-SG series of satellites, which will provide multispectral (410-2,130nm), multi-polarised (-60°, 0°, and +60°) and multi-angular images of outgoing radiance at the top of the atmosphere. In addition, the SpexOne instrument, to be launched on the Nasa Pace platform, will provide polarisation parameters within the spectral range of 350nm to 770nm, with a 10-40nm spectral resolution in five angular directions. The Harp2 instrument, also to be launched on Pace, will provide polarisation parameters for four visible-NIR spectral bands at up to 60 viewing angles.

Harmel said the main limitation for proper implementation of these instruments for plastic litter monitoring is their coarse spatial resolution, which is more than a kilometre. Harmel’s project also investigates using portable or drone polarimeters.

Beyond plastic

Professor Chan noted that it is only a matter of time before the new types of data captured and used as part of plastic marine litter monitoring projects will be disseminated and applied to areas never thought of before.

‘Due to its powerful spectral information, there should be enormous potential. More detailed mapping of land surface materials will be possible and temporal hyperspectral analysis will become more conventional – even though it is a big challenge due to the high dimensionality of the data sets,’ he said.

‘There are already motivations to incorporate such sensors in cubesats to deepen understanding of real-time emissions, temperature and so on. These are very active areas. There will certainly also be new applications related to climate change, green environment and sustainability related topics,’ he added.

Elsewhere, Harmel observed a deeper understanding of the way that light – and polarisation – interacts with plastic in the natural environment is a first step for global monitoring of polluted waters, from lakes and rivers to oceans.

De Vries said it is likely that ongoing research into hyperspectral imaging technology will contribute to the improved atmospheric correction of spectral satellite data over water bodies, which can also benefit other environmental monitoring domains, such as ocean colour sensing.

‘The outcomes of the Spots study and all its data will be made open access, so that industrial parties can also make use of it. I can imagine our library will be useful for industrial waste sorting, in that it could make industrial waste sorting more robust against dirty or wet plastics,’ he remarked.

Jung at Cubert noted that, in terms of the general translation of research moving forward, most of Cubert’s customers are scientists or researchers, but he definitely sees a growing share of OEM or industrial applications.

‘We see potential applications in life sciences – including medicine, agriculture and food – because they need fast and spectrally accurate cameras,’ Jung added. ‘We are good at the identification of randomly moving objects from a randomly moving camera position; this is something which cannot be done by scanners.’

Glossary

  • EnMap: Environmental mapping and analysis programme, a German hyperspectral satellite mission set to launch this year.
  • Hyperion: a hyperspectral imager (220 channels from visible to SWIR) onboard the Earth-Observing One satellite, which was decommissioned in 2017.
  • Landsat: Nasa’s Landsat programme provides the longest continuous space-based record of Earth’s land in existence.
  • Metop-SG: Meteorological Operational, Second Generation series of satellites, set to launch over the next two decades. The 3MI instrument, developed by Eumetsat as an improvement on Polder, will be onboard.
  • Muss2 project: Multi-model synthetic S2-HS (Sentinel 2-hyperspectral) data for marine-plastic debris characterisation.
  • OP3project: Ocean plastics polarisation properties, led by Carl von Ossietzky Universität Oldenburg.
  • Pace satellite: Plankton, aerosol, cloud, ocean, ecosystem. A Nasa mission due to launch in 2023. It will house the SpexOne instrument, a multi-angle polarimeter, as well as the Harp2 polarimeter.
  • Parasol microsatellite: Polarisation and anisotropy of reflectances for atmospheric science coupled with observations from a lidar. Launched by French agency CNES to look at how clouds and aerosols impact climate. Contains the Polder instrument: Polarisation and directionality of the Earth's reflectances. The mission ended in 2013.
  • PlanetScope: a constellation of approximately 130 satellites, able to image the entire land surface of the Earth every day (a daily collection capacity of 200 million km²/day).
  • Prisma: Italian Space Agency medium-resolution hyperspectral imaging mission, launched in 2019.
  • Sentinel-2: a constellation of two polar-orbiting satellites housing a multispectral instrument. It is part of the European Earth observation programme, Copernicus, overseen by the European Space Agency. Seven Sentinel missions are in operation.
  • Spots project: Spectral properties of submerged and biofouled marine plastic litter.
  • Trace project: Detection and tracking of large marine litter based on high-resolution remote sensing time series, machine learning and ocean current modelling.

Paul Brown of Fera Science operating the hyperspectral drone camera at Big Wood, Suffolk. Credit: Gary Battell

13 December 2021

Paul Brown of Fera Science operating the hyperspectral drone camera at Big Wood, Suffolk. Credit: Gary Battell

13 December 2021

Image taken from an aircraft with an engineering model of Satellite Vu's space camera compared with typical optical photographs. Credit: Satellite Vu

26 April 2021

Seaweed is grown on ropes, the moorings and position of which can be tracked by a vision system. Credit: PEBL

11 February 2022

Paul Brown of Fera Science operating the hyperspectral drone camera at Big Wood, Suffolk. Credit: Gary Battell

13 December 2021