Saturday and Sunday, October 6 and 7
See below for times and locations
Short courses are offered free of charge, however advance registration is required due to limited seating for each event. Conference attendees are eligible to select one of the short courses listed below during the conference registration process. The short courses listed below will take place in the Valamar Dubrovnik Lacroma Hotel, unless otherwise noted.
» Copernicus Training
» ACOLITE: Landsat and Sentinel High Resolution Processing
» Better Metrics for Algorithm Assessment
» SeaDAS Training
» AccuRT: A Radiative Transfer Tool for Coupled Atmosphere-Water Systems
Saturday and Sunday, October 6 and 7 (both sessions full)
09:00–17:00 each day
Bokar Meeting Room
Contact: Hayley Evers-King
This two-day training course will introduce participants to the latest satellite data available through the Copernicus Marine Data Stream from EUMETSAT, part of the European Commission Copernicus programme. Daily, level 1 and level 2 Ocean colour, Sea Surface Temperature, and altimetry data will be covered. The training will include practical sessions on data access, visualisation and analysis using the Sentinel Application Platform (SNAP) and python programming language. The training will comprise of a few formal lectures to supplement several practical sessions where participants can explore the data and tools appropriate to their own levels of experience. Participants will also have the opportunity for one-on-one discussions with the trainers to develop their individual work flows to use satellite data for their own applications and regions of interest. Participants with a range of experience are welcome, however they should have some familiarity with the underlying principles of marine Earth Observation data, and be intending to use this data in future work.
ACOLITE: Landsat and Sentinel High Resolution Processing
Sunday, October 7
Two Sessions Available: 10:00–13:00 or 14:00–17:00 (both sessions full)
Divona 2 Meeting Room
Contact: Quinten Vanhellemont
Since the launch of Landsat 8 (2013) and Sentinel-2 (A in 2015, B in 2017) the interest for metre-scale satellite data (1-100 m) in coastal and inland waters has increased dramatically, as the data from these sensors are freely available and prove to be of good quality for aquatic remote sensing. Several applications in coastal and inland waters have been demonstrated using Sentinel-2 and Landsat imagery, such as the monitoring of algal blooms as well as human activities (e.g. dredging and offshore construction) and their impacts.
- Where to obtain Sentinel-2 and Landsat top-of-atmosphere “level 1” imagery
- How to use ACOLITE to perform an atmospheric correction and process these images to water reflectances and derived parameters such as turbidity
- How to analyse typical ACOLITE output products in the SNAP toolbox
- How to perform batch processing of multiple scenes in ACOLITE
The number of ocean colour algorithms available to the community has increased in recent years, along with the need for these algorithms to inform models, decision support, and management. The ocean colour community has generally relied on a small set of statistical tools for algorithm assessment, which limits the ability to evaluate or compare algorithms for various applications. This short course will discuss metrics in the context of several key questions. How do we assess when and where algorithms work well or perform poorly? What metrics best allow algorithm comparison? What metrics can be used to evaluate algorithms for applications? The topics will be combined with case studies and data for a practical and hands-on statistical experience. Bring a computer or share a computer, we’ll work in pairs. If you don’t have a computer, we will find you a partner. We will have code and examples to work through for Matlab, R, and Excel. Plus, additional tools and approaches will be demonstrated for broad coverage to make you feel confident in your statistical approaches.
SeaDAS is software developed by NASA that enables users to process, visualize, and analyze remote-sensing data. SeaDAS continually evolves to support new satellite missions, as well as to add and refine tools to meet users needs. This one-day course presents an overview of the capabilities of SeaDAS along with presenting live demonstrations and workflow examples. The course is an opportunity for participants to interact directly with developers of SeaDAS. It is open to beginners, as well as more advanced users who may have questions regarding how to use SeaDAS to accomplish their specific goals and interests. Although not a requirement, participants are encouraged to bring their own laptops with the latest SeaDAS version installed. This is an evolving course and the latest material is posted on the SeaDAS website. The SeaDAS Forum is also a good user resource. Note that although participation will be limited to 24 people, SeaDAS developers and other members of the NASA ocean biology processing group (OBPG) will be available at the poster sessions.
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AccuRT: A Radiative Transfer Tool for Coupled Atmosphere-Water Systems
Saturday, October 6
Asimon Meeting Room
Registration: Jenny Ramarui by September 7, 2018
Course Contact: Knut Stamnes
AccuRT is an accurate, efficient, and easy-to-use radiative transfer (RT) simulation tool that (i) can be used to generate irradiances at any user-specified location in the atmosphere-water system as well as total and polarized radiances at any desired (user-specified) location and direction for user-specified inherent optical properties; (ii) will provide accurate results for given input parameters; (iii) will lead to significant progress in research areas such as remote sensing algorithm development and other atmospheric and hydrologic applications. This short course will give an introduction to AccuRT and provide examples of how it can be used in a variety of ocean optics and ocean color remote sensing applications. Practical training will also be provided. This short course is free of charge and a free software package will be provided to the participants.