News

Meeting: 2nd International Operational Satellite Oceanography Symposium

Please Save-the-Dates of May 24-28, 2021 for the 2nd International Operational Satellite Oceanography Symposium in Darmstadt Germany, sponsored by EUMETSAT and NOAA.  This FREE Symposium will be open to all interested international participants in the global satellite oceanography community and geared toward building off the outcomes of the successful 1st Symposium.  View the full meeting announcement here.  The Sponsors are also please to announce the 1st OSOS Summary Report is now available!

GEO AquaWatch and UW-Madison SSE Dept Awarded Water Quality Portal Grant!

We are thrilled to announce that GEO AquaWatch, in partnership with the University of Wisconsin-Madison Space Science and Engineering Department, has been awarded a one year $86,000(USD) grant from the University of Wisconsin-Madison to initiate development of a water quality information system. The project titled “Development of a Global Water Quality Portal Using the SSEC RealEarth™ Framework” uses visualization technology to create an open, web-accessible visualization tool with capabilities including map displays of satellite-derived water quality information, in situ data sources, providing live graphs, and charts with daily updates and trends that draw attention to water quality issues. The website will also take advantage of RealEarth™ mobile device alert capabilities and social media sharing.

Open Access Publication in Remote Sensing on Analysis Ready Data

The new publication A Virtual Geostationary Ocean Color Sensor to Analyze the Coastal Optical Variability  authored by Dr. Marco Bracaglia and others at CNR ISMAR, might be of interest to the Water Quality Community deliberating Analysis Ready Data.  This work was carried out as part of Marco’s doctoral thesis, where he created an hyper-temporal analysis-ready Ocean Color (OC) dataset, named Virtual Geostationary Ocean Color Sensor (VGOCS). This dataset contains the observations acquired over the North Adriatic Sea by the currently functioning near-polar orbiting sensors, allowing approaching the geostationary sensor temporal resolution.  The VGOCS dataset is defined as an analysis-ready dataset as it is conceived to provide to users, without the expertise in pre-processing procedures, “ready to use” OC data to analyze the coastal optical variability at the high temporal resolution, similarly to the CEOS Analysis Ready Data for Land (CARD4L).

New Publication in GeoHealth: Quantifying Human Health Benefits of EO

The authors Signe Stroming, Molly Robertson, Bethany Mabee,  Yusuke Kuwayama, and Blake Schaeffer are pleased to announce their newly published GeoHealth paper entitled: Quantifying the Human Health Benefits of Using Satellite Information to detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes.  This article fills in the previously missing quantitative estimate of the socioeconomic benefits generated from earth observation detection of cyanoHABs and managing recreational advisories at freshwater lakes.

Now Available! Merged Satellite Products for the ECV – Lakes

Now Available! The first version of merged satellite products for the ECV – Lakes

The ESA Lakes Climate Change Initiative (Lakes_cci) project team is happy to inform that the first version (1.0) of merged satellite products is accessible at:

https://catalogue.ceda.ac.uk/uuid/3c324bb4ee394d0d876fe2e1db217378

This dataset contains global lake products for the following five thematic Essential Climate Variables:
– Lake Water Level (LWL)
– Lake Water Extent (LWE)
– Lake Surface Water temperature (LSWT)
– Lake Ice Cover (LIC)
– Lake Water-Leaving Reflectance (LWLR)

Main Data characteristics:
– Spatial coverage: 250 lakes spread over the world
– Spatial resolution: Grid 1/120 degree
– Temporal resolution: Daily.
– 1 netCDF file per day containing all parameters
– Temporal coverage: From 1992 up to 2019 (shorter ranges for some parameters).

For more information please see http://cci.esa.int/lakes
E-mail contact lakes_cci@groupcls.com

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