Conference Agenda

ID: 134 / 2.2.2: 1

GAIG-Embeddings: A Multi-Modal Spatiotemporal Foundation Model for Agroecosystem Intelligence – Insights from Canadian Prairies

Kwabena A. Nketia^1,2, Thuan Ha^1,2, Morteza Khazaei^1,3, Ali Lotfi^1,2, Steve J. Shirtliffe^1,2

¹Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Canada; ²Nutrien Centre for Sustainable and Digital Agriculture, College of Agriculture and Bioresources, University of Saskatchewan, Canada; ³Centre d'applications et de recherches en télédétection (CARTEL), Département de géomatique appliquée, Université de Sherbrooke, Canada

ID: 141 / 2.2.2: 2

Earth Observation-Based Detection of Crop-Residues for Official Statistics in Sweden

Sebastian Hafner¹, Burcu Kocoglu¹, Erik Kallman¹, Tobias Edman¹, Kristine Berezkova^1,2, Johanna Wicht^1,2, Linus Rispling³, Jerker Mostrom³, Ylva Andrist Rangel³, Sergio Tena Vasco³

¹RISE Research Institutes of Sweden, Sweden; ²University of Stockholm, Sweden; ³Statistics Sweden (Statistiska centralbyrån, SCB), Sweden

ID: 152 / 2.2.2: 3

Sentinel-2 Based Estimation of Crop Yields for Official Statistics in Germany

Oliver Reitz

Hesse Statistical Office, Germany

ID: 203 / 2.2.2: 4

Monitoring soil management dynamics in European arable systems with Sentinel-1&2

Paolo Dal Lago¹, Marc Rußwurm², Claudia Paris³, Nandika Tsendbazar¹, Lammert Kooistra¹, Kirsten de Beurs¹

¹Wageningen University, the Netherlands; ²University of Bonn, Germany; ³University of Twente, the Netherlands

ID: 209 / 2.2.2: 5

EO and agrometeorological data-driven crop yield forecasting at national and sub-national scales

Michele Meroni¹, Francesco Collivignarelli¹, Inti Luna², Jordi Muñoz-Marí², Maria Piles², Jonathan Pound³, Felix Rembold¹, Petar Vojnovic¹, Filip Sabo¹, Mario Zappacosta³

¹Joint Research Centre, Italy; ²Image Processing Laboratory (IPL) - Universitat de València; ³Global Information and Early Warning System on Food and Agriculture (GIEWS), Food and Agriculture Organization (FAO)

ID: 218 / 2.2.2: 6

Grassland Monitoring for Official Statistics Using Satellite Data.

Igors Liberts, Artūrs Luņevs

Central Statistical Bureau of Latvia, Latvia

ID: 229 / 2.2.2: 7

YPSGlobe – one-stop high-resolution yield prediction for the Globe

Sandra Dotzler, Heike Bach, Solveig Blöcher, Christian Miesgang, Silke Migdall, Anusha Sanmathi Sathyaniranjan

Vista GmbH, Germany

ID: 261 / 2.2.2: 8

Mapping grassland age at a national scale using multidecadal satellite time series

Lukas Blickensdörfer^1,2, Tom Broeg¹, Felix Lobert^1,2, Marcel Schwieder^1,2, Patrick Hostert^2,3, Stefan Erasmi¹

¹Thünen Institute of Farm Economics; ²Humboldt-Universität zu Berlin, Geography Department; ³Humboldt-Universität zu Berlin, Integrative Research Institute of Transformations of Human-Environment Systems

ID: 322 / 2.2.2: 9

Seasons in the Algorithm: Error-Driven Insights into Winter and Spring Crop Classification: An Exploratory Study by Statistics Portugal

Cristina Gabriel, Isabel Gonçalves

Statistics Portugal, Portugal