Registration is required!
The LSI-VC series on CEOS Analysis Ready Data for Land (CARD4L) isscheduled for February 1-2, 2021. The webinar series is being organised as a means to strengthen the dialogue between CEOS and the broader community on the topic of ARD (ceos.org/ard), and to explore what interfaces and cooperative activities are needed to increase data use, choice and flexibility for users.
This second webinar will cover an introduction to the CARD4L specifications for Synthetic Aperture Radar (SAR) sensors, and provide some examples of actual uptake of CARD4L SAR products by the EO community, both public and private. The agenda will include significant time for discussion to promote dialogue between participants. Duration 75 minutes.
To accommodate participation at decent hours across most time zones the webinar will be repeated during two time slots 12 hours apart:
Time slot 1:
February 1, 2021 (Mon): 15:00-AKST/ 16:00-PST / 19:00-EST / 21:00-ART
February 2, 2021 (Tue): 08:00-CST / 09:00-JST / 11:00-AEDT
Time slot 2:
February 2, 2021 (Tue): 07:00-EST / 09:00-ART / 12:00-UTC / 13:00-CET / 15:30-IST / 20:00-CST / 21:00-JST / 23:00-AEDT
All are welcome to join. More information and a registration form can be found here. Connection details will be shared with all registered participants in due course. The CEOS ARD website has further background information and links to the CEOS ARD Strategy and CARD4L Product Family Specifications:
This PhD will bring together Earth observation, GEE processing and data analytics. To find out more and apply click here.
Earth observation: The applicant will develop or optimise algorithms for the retrieval of water quality (focusing initially on chlorophyll-a) and water quantity parameters in water bodies identified by GEO Aquawatch and World Bank Group. Algorithm development will be based on optical water type frameworks (Spyrakos et al. 2018) or/and data driven approaches (Spyrakos et al. 2011). Ground data, for the development and validation of the models in these water systems, will be provided by initiatives led by USTIR such as Limnades (https://limnades.stir.ac.uk/Limnades_login/index.php) and Aquawatch (https://www.geoaquawatch.org/). Both Sentinel 2 and LandSat satellites will be exploited to retrieve water constituents. Simulated (Hydrolight) spectra will also be generated to fill gaps in the in situ data record, to contribute to algorithm development and uncertainty characterisation.
GEE: GEE will be used to process large volume of remotely sense data. These will include water quality and quantity parameters but also available data of land cover, catchment and climatic variables. GEE will make it easier to build inventories with high spatial and temporal resolutions, since processing of the often large remote sensing data can be performed in the cloud. It also allows for reanalysis of the data to build climatology.
Data analytics: Innovative tools in environmental data analytics including functional data analysis will be investigated and applied for temporal trend (O’Donnel et al., 2015) and climatology. These data analytics approaches will be applied (and developed) in the R software environment. Non-parametric time series analysis will be used to identify the presence and strength of key underlying long-term patterns in the EO data. Where relevant this analysis will be developed to account for autocorrelation, identify change points and explore patterns beyond the mean, modelling quantiles to assess if changes over time are constant across all levels of the variables of interest.
The Committee on Earth Observation Satellites (CEOS) needs your feedback! Now is YOUR chance to review and contribute to the draft Product Specification for Aquatic Reflectance for CEOS Analysis Ready Data, which is now open for community comment and contributions. Please email any comments, suggested edits, or additions to firstname.lastname@example.org. Contributions are strongly recommended to be submitted by November 20th, but it is possible to add comments through mid-December.