Call for Participation in the third Atmospheric Correction Intercomparison eXercise (ACIX-III)

Dear Ocean Colour Community

On behalf of the European Space Agency (ESA) and National Aeronautics Space Agency (NASA), we would like to invite you to participate in the 3rd atmospheric correction intercomparison exercise (ACIX-III) being formulated to gauge the performances of atmospheric correction (AC) methods for processing moderate-resolution hyperspectral and multispectral imagery acquired by missions including PRISMA, Landsat-8/9, and Sentinel-2A/B.

The 2nd exercise evaluated Landsat-8 and Sentinel-2A/B aquatic (water-leaving) reflectance products using Ocean Color radiometer data collected from the Aerosol Robotic Network stations (AERONET-OC) and a community validation dataset acquired through independent research cruises. Given the successful implementation of ACIX-II, remaining challenges in AC, and existing/upcoming missions with hyperspectral capabilities, the organizing committee is embarking on the next round-robin exercise to assess and advance the performance of AC processors across global inland and coastal waters. To that end, this announcement calls for the community’s involvement in ACIX-III in three forms:

  1. Agencies or research institutes that have developed operational AC processors for the target missions indicated above. Detailed information about these processors must be available in the form of peer-reviewed publications.
  2. Research teams that have conceptualized and formulated AC processors and anticipate their methodology to be peer-reviewed and published by Aug 31st, 2023.
  3. Research institutes/teams with the capacity to contribute to either the assembly of in situ radiometric data or the assessment of satellite matchups.

Further specifics on the scope of the activity, inter-comparison protocols, and data policy will be shared amongst the participants in due course. To register, please fill out this form and provide as much detail as needed in the “Comments” box regarding the nature of your participation.

ACIX-III Coordinators – Aquatic Subgroup
Claudia Giardino and Nima Pahlevan

Take the ESA CCI Ocean Colour Survey – Closes May 20th!

The following user survey is being distributed to support an understanding of the community accessing and using the Ocean Colour Climate Change Initiative (CCI) dataset that receives funding from ESA for its generation. The current phase will end in 2022, and it would be helpful to receive community feedback before starting the next phase. We would appreciate receiving responses before 20 May 2022.

Survey available at:

The Ocean Colour CCI Team

For details on the project, documentation and how to access the OC-CCI data, see

To ask any questions, contact

Training! Monitoring Aquatic Vegetation with Remote Sensing: NASA ARSET

Introductory Webinar: Monitoring Aquatic Vegetation with Remote Sensing
July 12, 14, & 19, 2022
11:00-12:30 EDT (UTC-4)Aquatic vegetation (AV) provides a habitat for numerous small invertebrate and fish species. Kelp forests, for example, are the dominant coastal ecosystem in temperate waters. The presence of AV in coastal waters is a normal occurrence, as it is an important component of the natural marine environment. Nevertheless, in the last decades, the appearance of increasingly abundant mats of certain floating species in other coastlines (i.e., Caribbean/Atlantic) has become a nuisance to local economies. Sargassum mats, for example, are reaching coastal areas by tons every year and there is still not a clear hypothesis as to why this is happening. While these mats provide an important habitat for small invertebrate and fish species, they also affect the amount of light reaching shallow-water ecosystems like coral reefs and seagrass beds. Several NASA-funded efforts are currently using remote sensing techniques to monitor the presence of Sargassum in Caribbean and Atlantic waters, while others have a citizen science-oriented approach to follow giant kelp populations in the Pacific. This training will combine basic information on the remote sensing of AVs, spectrometry of aquatic/coastal vegetation, and a demonstration of the NASA-funded Floating Forests citizen science tool.

Webinar Introductorio: Monitoreo de la Vegetación Acuática con Teledetección
Los días 12, 14, y 19 de julio de 2022
14:00h a 15:30h horario este de EE.UU. (UTC-4)La vegetación acuática (AV por sus siglas en inglés) sirve de hábitat para numerosas especies de invertebrados y peces pequeños. Los bosques de kelpo, por ejemplo, son el ecosistema costero dominante en aguas templadas. La presencia de AV en aguas costeras es una ocurrencia normal ya que es un componente importante del ambiente marino natural. Sin embargo, en las últimas décadas, la aparición de mantos cada vez más grandes de ciertas especias flotantes en otras zonas costeras (p.ej, el caribe, el atlántico) se ha convertido en un estorbo para las economías locales. Esta capacitación combinará información básica sobre la teledetección de la AV, espectrometría de la vegetación acuática/costera y una demostración de la herramienta de la ciencia ciudadana fundada por la NASA, Floating Forests.


Early Career Post/Doc Job Opportunity @USGS!

Attention early career scientists! Are you interested in doing applied research? Are you skilled in aquatic remote sensing? Apply your skills at the USGS California Water Science Center conducting science for a changing world. The Biogeochemistry Group (BGC) at the U.S. Geological Survey California Water Science Center (CAWSC) is seeking a postdoctoral candidate to work on a variety of projects related to remote sensing of water quality in estuarine and inland waters. The successful applicant will join a vibrant research group studying nutrient biogeochemistry and algal ecology in the San Francisco Estuary and inland waters. The California Water Science Center expects to open a permanent position for a researcher specializing in aquatic remote sensing in the near future.

The specific projects funding this position involve issues such as early detection of harmful algal blooms, water quality impacts of fires, tracking contaminants, regional assessments of temperature and turbidity. We note that most projects involve co-development of methods for near-field remote sensing in conjunction with improving earth observations.

The candidates will be help lead one of the current research projects, write peer-reviewed manuscripts and collaborate with other projects. In addition to leading existing projects, the candidate will also have opportunities to write grants and develop new research projects in collaboration with PIs in the BGC.

The applicant must be a U.S. citizen and have earned a Ph.D. in Biology, Ecology, Oceanography, Limnology, Engineering, or other relevant field within the past 5 years. Applicants must have relevant experience and a strong publication history.

Interested applicants should email 1) a cover letter stating research interests and career goals, 2) current curriculum vita, and 3) copies of academic transcripts and publications. When prompted, please provide names, phone numbers, and email addresses of three professional references. Salary will be at a GS-12 level.

We will begin reviewing potential candidates on June 3, 2022, but will continue to consider applications until these positions are filled.

 For questions about this announcement, please email Keith Bouma-Gregson,

Check us out next week ESA Living Planet ’22: A7.06 EO for Monitoring Water Quality….

Join us next week at ESA Living Planet Symposium for a special 3 part session on water quality, A7.06 ‘EO for monitoring water quality and ecological status in inland waters’, convening Thursday afternoon May 26th as part of the ESA Living Planet Symposium, Bonn (

The 3 back-to-back sessions will run from 1:30pm – 4:30pm and focus on the innovative use of Earth Observation for water quality monitoring and ecological research. We will interpret inland waters in a broad sense to include nearshore coastal environments. The full session description is included below.

A7.06 EO for monitoring water quality and ecological status in inland waters

Session Description: Inland waters are important and vulnerable ecosystems that, despite covering a relatively small area of the Earth’s surface, support a disproportionate amount of biodiversity and ecosystem services, providing numerous benefits to humans such as food provisioning, transportation, and recreation. Moreover, inland waters are increasingly threatened by anthropogenic pressures including climate change, land use intensification and eutrophication. Satellite remote sensing can contribute to monitoring and understanding changes in water quality parameters (turbidity, chlorophyll etc.), ecological status (e.g., trophic status, toxic algal blooms) and ecological processes (e.g., primary production) in inland waters, providing valuable data for investigating the drivers and impacts of these changes, and supporting water resources management and decision-making. In recent years, there has been a shift from remote sensing studies focused on individual waterbodies to the development of products that can be applied at a regional or global scale, including efforts to generate global products that combine information from several satellite sensors to produce multi-decadal records of lake parameters. However, there is still much to be done to generate Earth Observation algorithms and data products, that are robust across the wide concentrations ranges of optically active water constituents present in inland waters. This session aims to showcase the development and application of new methods for monitoring water quality and ecological status of inland waters using satellite Earth Observation technologies. Contributions are particularly welcomed that describe novel approaches (e.g., using machine learning, ensemble classifiers, cloud computing and new satellite sensors) that are applicable across multiple waterbodies and that allow investigation of long-term temporal dynamics and spatial patterns within and between inland waters. We seek presentations which demonstrate a holistic approach to characterizing inland water ecosystems, integrating remote sensing, in situ data and modelling. Of particular interest would be projects which leverage technology or unique capacity development techniques to get the water quality information into the hands of decision-makers to improve water resource management.

Convenors: Emma Tebbs (King’s College London); Carmen Cillero (3edata); Merrie Beth Neely (GEOAquaWatch); Ils Reusen (VITO Remote Sensing); Stefan Simis (Plymouth Marine Laboratory); Evangelos Spyrakos (University of Stirling)


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