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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).

Only Sessions at Date / Time

Agenda Overview

Session

Import to your local calendar

Thematic sessions - Sustainability indicators

Time:

Wednesday, 06/May/2026:

10:00am - 11:30am

Location: James Cook

Bld. 1, main entrance

Presentations

ID: 129 / 2.1.3: 1

Climate Extremes and Food Security in Malawi

Hilde Orderud¹, Ola Nordbeck²

¹Statistics Norway, Norway; ²Norwegian Space Agency, Norway

ID: 149 / 2.1.3: 2

Earth Observations and Machine Learning for Gridded Macroeconomic Data

Marco Marini, Andinet Woldemichael, Jim Tebrake

International Monetary Fund

ID: 178 / 2.1.3: 3

Earth Observation and AI for Construction Statistics (EO4ConStat): Developing an EO-based Approach for Quality Assessment in Building Statistics

Frederik Stellmach¹, Stefan Irrgang², Carola Stolle¹, Maren Köhlmann², Dorothee Stiller³, Michael Wurm³, Thorsten Dahms¹, Michael Hovenbitzer¹

¹Federal Agency for Cartography and Geodesy Germany; ²Federal Statistical Office Germany; ³German Aerospace Center

ID: 188 / 2.1.3: 4

Has pasture already peaked in 2000? The first independent global statistical assessment of grassland, livestock association, and change

Steffen Fritz¹, Myroslava Lesiv¹, Ivelina Georgieva¹, Leandro Parente², Katya Perez Guzman¹, Lindsey Sloat³, Ana Paula Matos⁴, Nathália Teles⁴, Vinicius Mesquita⁴, Laerte Ferreira⁴, Luis Baumann⁴, Ichsani Wheeler²

¹International Institute for Applied Systems Analysis (IIASA); ²OpenGeoHub Foundation; ³World Resources Institute; ⁴Remote Sensing and GIS Laboratory (LAPIG/UFG)

ID: 207 / 2.1.3: 5

Analysis of Earth Observation Data for Economic Statistics

Maren Koehlmann, Stefan Irrgang, Melanie Brauchler

German Federal Statistical Office, Germany

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

Céline Lamarche¹, Inès Bruyère¹, Kandice Harper¹, Andrew Hartley², Philippe Peylin³, Catherine Ottlé³, Vladislav Bastrikov³, Luis Olivera³, Rodrigo San Martín³, Grit Kirches⁴, Martin Boettcher⁴, Roman Shevchuk⁴, Carsten Brockmann⁴, Clément Albergel⁵, Pierre Defourny⁴

¹UCLouvain-Geomatics (Belgium), Belgium; ²Met Office, UK; ³LSCE, France; ⁴Brockmann Consult Gmbh, Germany; ⁵European Space Agency ECSAT, UK

ID: 299 / 2.1.3: 7

Mapping the Unmapped: Integrating Earth Observation and Open Data to Construct Brazil’s National Rural Road Network

Ian Nunes, Vitor Franca, Bruna Rezende, Marcelo Maia

Brazilian Institute of Geography and Statistics, Brazil