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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).

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Agenda Overview

Session

Thematic sessions - Land Use/Land Cover

Time:

Wednesday, 06/May/2026:

2:30pm - 4:00pm

Location: Big Hall

Bld. 14

Presentations

ID: 100 / 2.3.3: 1

Generalising Earth Observation AI/ML pipelines for European statistics

Remco Paulussen

Statistics Netherlands (CBS)

ID: 114 / 2.3.3: 2

Map quality assessment and area estimation to support the use of global land cover maps at (sub)national level

Nandika Tsendbazar¹, Panpan Xu², Martin Herold³, Sytze de Bruin¹, Sarah Carter⁴

¹Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; ²College of Marine Geosciences, Ocean University of China, Qingdao, China; ³Section 1.4 Remote Sensing and Geoinformatics, Deutsches GeoForschungsZentrum, Potsdam, Germany; ⁴World Resources Insititute, the Hague, Netherlands

ID: 115 / 2.3.3: 3

Promoting Good Practices for Land Cover and Change Map accuracy assessment and area estimation

Alexandra Tyukavina^1,2, Nandika Tsendbazar^2,3

¹University of Maryland; ²Committee on Earth Observation Satellites, Land Product Validation Subgroup; ³Wageningen University, The Netherlands

ID: 124 / 2.3.3: 4

Very High-Resolution Land Cover Mapping: A Reusable Pipeline for Official Statistics.

Fabrizio De Fausti¹, Anatol Garioud², Jolien Cremers³, Nils von Norsinski⁴, Stefano Mugnoli¹

¹Italian National Institute of Statistics (ISTAT), Italy; ²National Institute of Geographic and Forest Information (IGN), France; ³Statistics Denmark (Danmarks Statistik),Denmark; ⁴Statistics Austria (Statistik Austria),Austria

ID: 172 / 2.3.3: 5

The Copernicus LCFM Service: Next-Generation Global Land Cover at 10 m Resolution

Daniele Zanaga¹, Ruben Van De Kerchove¹, Joris Coddé¹, Ioannis Kalfas¹, Giorgia Milli¹, Mathilde De Vroey¹, Carolien Toté¹, Stelios Lagaras¹, Victor Verhaert¹, Dirk Daems¹, Peter Van Bouwel¹, Luc Bertels¹, Astrid Verhegghen¹, Manu Goudar¹, Francesco Perfetto¹, Myroslava Lesiv², Steffen Fritz², Antoine Masse³, Gabriel Jaffrain³, Adrien Moiret³, Andrea Lupi⁴, René Colditz⁴, Frédéric Achard⁴, Andreas Brink⁴

¹VITO - Flemish Institute for Technological Research, Belgium; ²IIASA - International Institute for Applied Systems Analysis, Austria; ³IGNFI - Geographic engineering and spatial information consultancy, France; ⁴JRC - Joint Research Centre (European Commission), Italy

ID: 185 / 2.3.3: 6

Developing Land Use and Land Cover Statistics with Earth Observation - Statistics Portugal experience

Célia Ferreira

Statistics Portugal, Portugal

ID: 191 / 2.3.3: 7

Challenges in the Validation of Land Use and Land Cover Change Maps

Myroslava Lesiv¹, Steffen Fritz¹, Ruben Van De Kerchove², Daniele Zanaga², Antoine Masse³, Gabriel Jaffrain³, Maria Shchepashchenko¹, Ivelina Georgieva¹, Dmitry Schepaschenko¹, Maxim Neumann⁴, Linda See¹, Ian McCallum¹

¹IIASA, Austria; ²VITO, Belgium; ³IGNFI, France; ⁴Google DeepMind, Switzerland

ID: 201 / 2.3.3: 8

Artificial Intelligence for Reliable Land Use Statistics: Opportunities and Challenges from Switzerland

Gillian Milani, Michèle Gillard, Romain Douard

Federal Statistical Office, Switzerland

ID: 220 / 2.3.3: 9

Statistical calibration of land cover changes in CLMS CLCplus Backbone time-series

André Stumpf¹, Fabian Berndt¹, Christophe Sannier¹, Benjamin Argyle-Ross², Manuel Mayr³, Massimiliano Rossi³

¹GAF AG, Arnulfstr. 199, 80634 Munich, Germany; ²GeoVille GmbH, Sparkassenplatz 2, 6020 Innsbruck, Austria; ³European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen, Denmark