Lead author: PhD, prof. Nataliia Kussul, Space Research Institute NAS Ukraine and SSA Ukraine
- Esteban Julian Copati, Buenos Aires Grains Exchange, Argentina
- Nilanchal Patel, Birla Institute of Technology, Mesra, India
- Michael Ryabokon, NGO Association Noosphere (Noosphere Engineering school)
- Sergii Skakun, Department of Geographical Sciences and College of Information Studies (iSchool), University of Maryland, College Park, MD, USA
About the project:
The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, makes an emphasis on the Sustainable Development Goals (SDGs) and corresponding indicators that characterize complex interactions of human influence and environment state. Many indicators are based on geospatial information, and can be derived from satellite data integrated along with in-situ measurements and models, including weather forecasts, biophysical estimation and classification (machine learning) models. Therefore, there is a need to develop methods and tools that will allow derivation of SDG indicators as geoinformation products.
The main innovation of the project is concerned with the improvements of existing workflows for SDG indicators calculation by the use of high spatial resolution data and filling gaps between existing global products and national ones.