S3.6 sustain development goals (SDG)

25 Sep 2018
10:30 - 12:30
Lecture Hall 5

S3.6 sustain development goals (SDG)

S3.6 _ Efficient data and workflow management for reaching Sustainable Development Goals (SDGs) targets associated to biodiversity and ecosystems. (Session Chairs: Jan Bumberger, Jitendra Gaikwad and Aidin Niamir)

The Sustainable Development Goals (SDGs) are a collection of 17 global goals, including zero hunger, good health and well-being, climate action, clean water and sanitation, affordable and clean energy, that has been agreed by international communities to be hopefully achieved by 2030. Monitoring progress towards these goals require a reliable data and information which are accessible and reproducible over time and space. Earth Observation (EO) products can potentially address such a need for trusted sources of data to monitor the trends of environmental conditions (i.e. essential variables), and also inform models to predict progress (i.e. indicators) towards policy targets over variety of scenarios. However, efficient management of big earth observation datasets and reproducible modeling workflows remains a challenge.

In this session we want to bring together experts representing broad range of experience in applications related to SDGs with a special focus on biodiversity and ecosystem services. We invite contributions presenting challenges, solutions, cases studies, and best practices dealing with big data and modeling workflows management. We intend to discuss on the list (not excluding) of following topics:
– Efficient data management approaches along the chain of information from field data to derived indicators taking into account the uncertainties
– Standardized and operationalized data quality assurance and fusion approaches for biotic, abiotic and other EO data
– From data to variable, and from variable to indicator workflows for biodiversity and ecosystem services
– Best practices to improve interoperability
– Uncertainty/data reliability

Keywords: Sustainable Development Goals (SDGs), Earth Observation (EO), data management, data quality assurance, data fusion, wodeling workflows management, indicator workflows, biodiversity
ecosystem services, uncertainty/data reliability

Talk 01-08

Data lifecycle is not a cycle, but a plane!
Javad Chamanara and Birgitta König-Ries

Data science for environmental health
Angela Lausch, Peter Dietrich, Toralf Kirsten, Sonja Knapp, Josef Settele, Steffen Zacharias, Jan Bumberger

Green Infrastructures and Essential Variables Workflows towards SDG 15
Erica Honeck, Anthony Lehmann, Diana-Denisa Rodila and Gregory Giuliani

moveStore: an extensible cloud-based framework for applications dealing with movement data
Babak Naimi and Kamran Safi

Community-curated Linked Open Data about the Sustainable Development Goals, their targets, and indicators
Daniel Mietchen

Methods of calculating indicators of the sustainable development goals using biophysical modelling and classification of the land cover in Nexus Approach
Leonid Shumilo, Nataliia Kussul, and Mykola Lavreniuk

Automated and efficient workflow for large airborne remote sensing vegetation mapping and research of Natura 2000 habitats
Adam Kania, Dominik Kopeć, Jan Niedzielko and Łukasz Sławik

ProSIt: An Ontology-based Reference Process to Provide Interoperability and Foster Database Integration for Biodiversity Data
Fabiana Santana, Silvia Scheunemann, Anarosa A.F. Brandão, Antonio Saraiva