Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
| Session | ||
Thematic sessions - Sustainability indicators
Chairs: Grazia Zulian and Eleonora De Falcis | ||
| Presentations | ||
10:00am - 10:10am
ID: 129 / 2.1.3: 1 Climate Extremes and Food Security in Malawi 1Statistics Norway, Norway; 2Norwegian Space Agency, Norway 10:10am - 10:20am
ID: 149 / 2.1.3: 2 Earth Observations and Machine Learning for Gridded Macroeconomic Data International Monetary Fund 10:20am - 10:30am
ID: 207 / 2.1.3: 3 Analysis of Earth Observation Data for Economic Statistics German Federal Statistical Office, Germany 10:30am - 10:40am
ID: 178 / 2.1.3: 4 Earth Observation and AI for Construction Statistics (EO4ConStat): Developing an EO-based Approach for Quality Assessment in Building Statistics 1Federal Agency for Cartography and Geodesy Germany; 2Federal Statistical Office Germany; 3German Aerospace Center 10:40am - 10:50am
ID: 188 / 2.1.3: 5 Has pasture already peaked in 2000? The first independent global statistical assessment of grassland, livestock association, and change 1International Institute for Applied Systems Analysis (IIASA); 2OpenGeoHub Foundation; 3World Resources Institute; 4Remote Sensing and GIS Laboratory (LAPIG/UFG) 10:50am - 11:00am
ID: 279 / 2.1.3: 6 From long-term (>30 years) annual ESA CCI / EU C3S global 300 m categorical land use and land cover change maps to an equivalent long-term global annual series of spatially explicit sub-pixel plant functional type fractions informed by 10–30 m EO datasets 1UCLouvain-Geomatics (Belgium), Belgium; 2Met Office, UK; 3LSCE, France; 4Brockmann Consult Gmbh, Germany; 5European Space Agency ECSAT, UK 11:00am - 11:10am
ID: 299 / 2.1.3: 7 Mapping the Unmapped: Integrating Earth Observation and Open Data to Construct Brazil’s National Rural Road Network Brazilian Institute of Geography and Statistics, Brazil | ||
