Conference Agenda

Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium)

Nicola Dimarco, Benoît Bartiaux, Louis Andreani, Romy Schlögel

Spacebel sa., Earth Observation Applications, Angleur, Belgium

Scaling Individual Tree Crown Segmentation using Large Vision Models

Jacopo Lungo Vaschetti, Edoardo Arnaudo, Claudio Rossi

LINKS Foundation, Italy

Tree Crown Damage Detection In Aerial Imagery Using Robust Deep Learning Models

Javier Francisco Gonzalez, Adelheid Wallner

LWF, Germany

TreeAI: a Global Database for Tree Species Annotations and High-resolution Aerial Imagery

Zhongyu Xia¹, Mirela Beloiu Schwenke¹, Yan Cheng², Arthur Gessler^1,3, Teja Kattenborn⁴, Xinlian Liang⁵, Clemens Mosig⁶, Stefano Puliti⁷, Nataliia Rehush³, Lars Waser⁸, Verena C. Griess¹, Martin Mokros⁹

1: Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zurich, 8092 Zurich, Switzerland; 2: University of Copenhagen, Copenhagen, Denmark; 3: Forest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland; 4: Department for Sensor-based Geoinformatics, University of Freiburg; 5: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China; 6: Remote Sensing Centre for Earth System Research, Leipzig; 7: Norwegian Institute for Bio-economy Research (NIBIO) National Forest Inventory, Norway; 8: Remote sensing group, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland; 9: Department of Geography, University College London, United Kingdom

AI-based Assessment of Bark Beetle Infestation Risk with Sentinel-2

Janik Deutscher¹, Andreas Wimmer¹, Martin Puhm¹, Klaus Haslinger²

1: Joanneum Research, Institute for Digital Technologies, Graz, Austria; 2: GeoSphere Austria, Department for Climate-Impact-Research, Vienna, Austria

UAV Based Monitoring Of Cover Crop Effects On Nitrogen Uptake Dynamics For Barley

Lammert Kooistra¹, Nikos Vavlas², Paolo Dal Lago¹, Gerlinde De Deyn²

1: Laboratory of Geo-Information Science and Remote Sensing (GRS), Wageningen University & Research, the Netherlands; 2: Soil Biology Group (SBL), Wageningen University & Research, the Netherlands

Habitat Selection Preferences Of Antarctic Fauna: Spatial Analysis Based On UAV- Derived Data

Małgorzata Korczak-Abshire¹, Anna Zmarz²

1: Institute of Biochemistry and Biophysics, Polish Academy of Sciences; 2: University of Warsaw, Poland

Optimizing Class Definition For Classification Of Ink Disease Severity In Chestnut Forest Groves

Kyra Nancie Smith¹, Elena Belcore¹, Marco Piras¹, Mattia Balestra², Federico Fiorani², Alessandro Vitali²

1: Politecnico di Torino, Italy; 2: Università Politecnica delle Marche

UAS Data and Machine Learning for Precise Monitoring of Peat Bog Vegetation: A Case Study of Kyselé Kouty (Krkonoše Mts.)

Adam Kulich, Lucie Kupková, Lucie Červená, Jakub Lysák

Department of Applied Geoinformatics and Carthography, Faculty of Science, Charles University, Czech Republic

Urban Trees for Changing Climates: Insights for Bavarian Cities

Julian Fäth¹, John Friesen², Andrea Sofia Garcia de León², Julia Rieder¹, Christian Schäfer¹, Tobias Leichtle³, Tobias Ullmann¹, Hannes Taubenböck^1,3

1: Department of Remote Sensing, Institute of Geography and Geology, University of Würzburg, Germany; 2: Department of Global Urbanization and Remote Sensing, Institute for Geography and Geology, University of Würzburg, Germany; 3: German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany

Approaching the EUDR by a Combination of Crowd Sourcing and Remote Sensing

Manuela Hirschmugl^1,2, Nik Cepirlo², Caroline Kunesch³, Koimé Kouacou⁴

1: Dept. of Geography and Regional Science, University of Graz, Graz, Austria; 2: Joanneum Research, Graz, Austria; 3: BOKU University of Life Sciences, Vienna, Austria; 4: BeetleForTech, Vienna, Austria

Detection of Early Symptoms of Bark Beetle Infestation in Norway Spruce Forests over Past 10 Years

Vojtěch Bárta

Global Change Research Institute, CAS, Czech Republic

Timberline change modelling (1970s to 2023) in the context of climate change. An integrated approach in Iezer Mountains, Southern Carpathians.

Bogdan Andrei Mihai¹, Carmen Bizdadea², Ionuț Săvulescu¹, Marina Vîrghileanu¹, Liviu Toma³

1: University of Bucharest, Faculty of Geography, Romania; 2: Simion Mehedinți Doctoral School, University of Bucharest, Faculty of Geography , Romania; 3: GISBOX Srl

FUTUREFOR - Copernicus Applications for Next-Generation Forest Monitoring

Conrad Bielski¹, Jakob Lobensteiner¹, Gunter Zeug¹, Annemarie Bastrup-Birk²

1: Riscognition GmbH, Germany; 2: University of Copenhagen, Denmark

Towards Integrating Spectral And Physiological Forest Modelling

Ephraim Schmidt-Riese¹, Fabian Fassnacht², Jean-Baptiste Féret³, Florian de Boissieu³, Rüdiger Grote⁴, Pia Kräft¹, Robert Jackisch¹, Christine Wallis¹, Michael Förster¹

1: Technische Universität Berlin, Germany; 2: Freie Universität Berlin; 3: UMR-TETIS, INRAE; 4: Karlsruhe Institut für Technologie

Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data

Ramazan Bülbül¹, Stefan Reder¹, Ferréol Berendt², Kevin Beiler¹, Tobias Cremer², Jan-Peter Mund¹

1: Eberswalde University for Sustainable Development Eberswalde, Department for GIS and Remote Sensing, Eberswalde, Germany; 2: Eberswalde University for Sustainable Development Eberswalde, Department of Forest Utilization and Timber Market, Eberswalde, Germany

Mapping Old-growth Beech Forest by Means of Sentinel-2 and LiDAR Data in Various Regions of Europe

Manuela Hirschmugl^1,2, Carina Sobe², Selina Schaar², Peter Meyer³, Kris Vandekerkhove⁴

1: Dept. of Geography and Regional Science, University of Graz, Graz, Austria; 2: Joanneum Research, DIGITAL, Graz, Austria; 3: Nordwestdeutsche Forstliche Versuchsanstalt, Münden, Germany; 4: Research Institute for Nature and Forest, Belgium

Modeling Forest Stand Variability By Means Of Remotely Sensed Vertical Structure Parameters

Florian Josef Lippl¹, Manuela Hirschmugl^1,2

1: University of Graz, Austria, Austria; 2: Institute for Digital Technologies, JOANEEUM RESEARCH Forschungsgesellschaft mbH

Identification Of Biochemical Traits In Spectral Signatures At The Leaf Level In A Mixed Beech Forest In Northeast Germany

Pia Kräft¹, Michael Förster¹, Ralf Kätzel², Ephraim Schmidt-Riese¹, Robert Jackisch¹, Christine Wallis¹

1: Technical University Berlin, Germany; 2: State Competence Centre Forestry Eberswalde, Germany

Calibrating UAV-Based Uncooled Thermal Cameras for Crop Water Stress Detection: Insights from Mission Planning to Post-Processing

Quanxing Wan¹, Magdalena Smigaj¹, Benjamin Brede², Lammert Kooistra¹

1: Wageningen University and Research, the Netherlands; 2: GFZ German Research Centre for Geosciences, Germany

Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches

Massimiliano Guastella^1,2, Raffaele Martorana², Antonino D'Alessandro³, Antonino Pisciotta³

1: Dept. of Civil, Building and Environmental Engineering, DICEA - Sapienza University of Rome; 2: Dept. of Earth and Marine Sciences, DiSTeM – Università degli Studi di Palermo; 3: National Institute of Geophysics and Volcanology, INGV –Roma, Italy

Mapping with UAS (Unmanned Aircraft Systems) of Natura 2000 Habitat Type 6210 (Dry Continental Grasslands) in the Učka Nature Park

Tonko Megyery¹, Marta Rogošić¹, Nela Jantol¹, Iva Odak¹, Zrinka Mesić²

1: Oikon Ltd. - Institute of Applied Ecology; Zagreb, Croatia; 2: Karlovac University of Applied Sciences; Karlovac, Croatia

Expansion or Error? Evaluating of Small Vegetation Changes in Krkonoše Mountains Based on UAS Data

Lucie Červená¹, Jakub Lysák¹, Markéta Potůčková¹, Záboj Hrázský^1,2, Stanislav Březina², Michaela Vítková³, Jan Pergl³, Jan Čuda³, Natálie Kolombová^3,4, Klára Kušková^3,4, Josef Kutlvašr^3,4, Irena Perglová³, Jiří Sádlo³, Vojtěch Vítek³, Petr Pyšek^3,5, Lucie Kupková¹

1: Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Czech Republic; 2: The Krkonoše Mountains National Park Administration, Czech Republic; 3: Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Czech Republic; 4: Faculty of Environmental Sciences, Czech University of Life Sciences, Czech Republic; 5: Department of Ecology, Faculty of Science, Charles University, Czech Republic

Recent Dynamics of Forest Canopy Cover Loss in Germany

Frank Thonfeld¹, Patrick Kacic^1,2, Stefanie Holzwarth¹, Marco Wegler¹, Niklas Jaggy^1,2, Kjirsten Coleman¹, Ursula Gessner¹, Claudia Kuenzer^1,2

1: German Aerospace Center (DLR), Germany; 2: University of Wuerzburg, Germany

The German National Forest Damage Monitoring System: Validation process and accuracies of the annual Sentinel-2 disturbance product

Katja Oehmichen¹, Julian Backa², Janik Deutscher³, Philipp Eisnecker⁴, Niklas Langner¹, Martin Puhm³, Eike Reinosch⁵, Marius Rüetschi⁶, Jens Wiesehahn⁷, Lars T. Waser⁶

1: Thünen Institute of Forest Ecosystems, Germany; 2: Public Enterprise Sachsenforst, Germany; 3: Joanneum Research, Austria; 4: Forest Research Institute Baden-Württemberg, Germany; 5: Bavarian State Institute of Forestry, Germany; 6: Swiss Federal Institute for Forest, Snow, and Landscape Research, Switzerland; 7: Northwest German Forest Research Institute, Germany

Detecting Bark Beetle-Induced Changes in Coniferous Alpine Forests Using Sentinel-2 Time Series and In-Situ Felling Data

Ana Potočnik Buhvald¹, Krištof Oštir¹, Mitja Skudnik^2,3

1: University of Ljubljana Faculty of Civil and Geodetic Engineering, Slovenia; 2: University of Ljubljana, Biotechnical Faculty, Department of Forestry and Renewable Forest Resources; 3: Slovenian Forestry Institute

Enabling Near Real-Time Forest Disturbance Detection on the Copernicus Data Space Ecosystem

Jonas Viehweger

Joanneum Research, Austria

MoBiTools – Monitoring Biodiversity with remote sensing Tools

Selina Ganz^1,2, Martin Denter¹, Katarzyna Zielewska-Büttner³, Petra Adler¹

1: Dept. of Biometry and Informatics, Forest Research Institute Baden-Württemberg (FVA); 2: Chair of Sensor-based Geoinformatics (geosense), Albert-Ludwigs-Universität Freiburg; 3: Dept. of Forest Nature Conservation and Biodiversity, Forest Research Institute Baden-Württemberg (FVA)

Towards A Collaborative Framework: Integrating Remote Sensing Research With Forestry Practice

Lars T. Waser¹, Nataliia Rehush¹, Hannes Horneber², Bienz Raffael³, Krzysztof Stereńczak⁴, Mirela Beloiu Schwenke⁵

1: Swiss Federal Institute for Forest, Snow and Landscape Research, WSL; 2: School of Agriculture and Food Sciences, HAFL, Switzerland; 3: Forest department of Aargau, BVU, Switzerland; 4: Forest Research Institute, IBL, Poland; 5: Federal Institute of Technology, ETH, Swizterland

Advancing the European Copernicus Forest Layers: Prototyping and New Developments Towards a Continuous and Harmonized Monitoring of Forests in Europe

Janik Deutscher¹, Martin Puhm¹, Andreas Wimmer¹, Annemarie Bastrup-Birk², Gunter Zeug³, Conrad Bielski³, Jakob Lobensteiner³, Linda Moser⁴, Andreas Langner⁴, Anna Grabatin-Homolka⁴, Fabian Berndt⁴, Tim Ng⁵, Koimé Kouacou⁶, Ludvig Forslund⁷

1: Joanneum Research, Institute for Digital Technologies, Graz, Austria; 2: University of Copenhagen Faculty of Science, Forests and Bioresources, Denmark; 3: Riscognition GmbH, Germany; 4: GAF AG, Munich, Germany; 5: Flemish Institute for Technological Research (VITO), Remote Sensing Unit, Mol, Belgium; 6: Beetle ForTech, Tulln, Austria; 7: European Environment Agency, Copenhagen, Denmark

From Microscale to Sentinel and Landsat Images – Peatland Vegetation Monitoring

Anna Jarocinska¹, Sandra Słowińska², Joanna Kaczorowska^1,2, Arkadiusz Bartczak³, Adrian Kaszkiel², Mariusz Lamentowicz⁴, Michał Słowiński²

1: University of Warsaw, Faculty of Geography and Regional Studies, Poland; 2: Institute of Geography and Spatial Organization, Polish Academy of Sciences, Warsaw, Poland; 3: Institute of Geography and Spatial Organization, Polish Academy of Sciences, Torun, Poland; 4: Adam Mickiewicz University in Poznan, Faculty of Geographical and Geological Sciences, Poland

Applying Deep Learning Methods For The Classification Of Riparian Vegetation On The Scale Of The Elbe Estuary

Marcel Reinhardt, Edvinas Rommel, Maike Heuner, Björn Baschek

German Federal Institute of Hydrology, Germany

Land Restoration Effectiveness Assessed By Satellite-based Remote Sensing Technologies As A New Monitoring Approach

Ghadir Zbedat^1,2,3, Anna Brook^1,2,3

1: Spectroscopy and Remote Sensing Laboratory; 2: School of Environmental Science; 3: University of Haifa, Israel

Mapping Tree Alleys in Czech Republic by means of Artificial Intelligence and Multi-Sensor Imagery

Ales Létal¹, Ionut Sandric², Matej Kaspar¹

1: Palacký University Olomouc, Czech Republic; 2: University of Bucharest, Romania

SEADETECT: Multi-sensor Cetacean Collision Prevention in the Pelagos Area of the Mediterranean Sea

Anita Schilling¹, Bob Rumes², Simone Panigada³, Romain Jan⁴, Thomas Folegot⁵, Vincent Carrier⁶, Antoine Dumoulin⁷, David Van Hamme⁸, Gilda Marquis-Laisné⁹, Angélique Rouhan¹⁰, Olivier Langrand¹¹

1: ONERA / DOTA, University of Toulouse, France; 2: Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environment, Aquatic and Terrestrial Ecology, Marine Ecology and Management, Belgium; 3: Tethys Research Institute, Italy; 4: GREENOV ITES, France; 5: Quiet-Oceans, France; 6: Nexvision, France; 7: Diades Marine, France; 8: Interuniversity Microelectronics Center, Belgium; 9: Sirehna, France; 10: Bureau Veritas Marine & Offshore, France; 11: Naval Group, France

Detecting Vegetation Impact Due to Construction Events, With Semantically Enriched Sentinel-2 Time-series

Luke McQuade, Rajeswari Parasa, Martin Sudmanns, Dirk Tiede

Paris Lodron University of Salzburg, Austria

Utility of Remote Sensing Data Useful for Identifying Non-forest Vegetation in Protected Areas

Anna Jarocinska¹, Dominik Kopeć^2,3, Marlena Kycko¹

1: University of Warsaw, Faculty of Geography and Regional Studies, Poland; 2: University of Lodz, Faculty of Biology and Environmental Protection, Poland; 3: MGGP Aero sp. z o.o., Poland

Advancing the Monitoring of Traditional Meadow Orchards: Current Approaches and Future Directions

Paul Joseph¹, Maike Petersen¹, Alexander Siegmund^1,2

1: Institute for Geography and Geocommunication – Research Group for Earth Observation (rgeo), Heidelberg University of Education, Germany; 2: Heidelberg Center for the Environment (HCE) & Institute of Geography, Heidelberg University, Germany

Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data

Itza Hernández-Sequeira¹, Damián Ibañez¹, Rubén Fernández-Beltrán², Filiberto Pla¹

1: Institute of New Imaging Technologies, University Jaume I, 12071 Castellón de la Plana, Spain; 2: Departement of Computer Science and Systems, University of Murcia, 30100 Murcia, Spain

Segment Anything Model with Lidar Based Images for Building Segmentation in Forest Areas

Emilia Hattula, Jere Raninen, Lingli Zhu

The National Land Survey of Finland, Finland

Comparison Of Pansharpening And Hypersharpening Performances On Urban Scenes

Sacha Neiger¹, Sophie Fabre¹, Colin Thomas², Xavier Briottet¹

1: ONERA, France; 2: ADS, France

Hybrid Approach To Atmospheric Correction For Thermal Airborne Remote Sensing Over Urban Areas

Daniel Kopkáně, Miroslav Pikl, Jan Novotný, Jan Hanuš, Lucie Homolová

Global Change Research Institute CAS, Czech Republic

How much Urban Green do Bavarian cities need to cool by 1 degree?

John Friesen¹, Tobias Leichtle², Hannes Taubenböck^1,2

1: Julius Maximilians Universität Würzburg, Würzburg, Germany; 2: German Aerospace Center, Wessling, Germany

Comparative Study of Urban Heat and its Vulnerability in Los Angeles and Atalanta, USA

Sunhui Sim

University of North Alabama, United States of America

Radiometric Cross-Calibration of an Aerial Sensor with Satellite Top-of-Atmosphere Reflectance

Alexane Nghien, Manchun Lei, Mathieu Brédif

Univ Gustave Eiffel, ENSG, IGN, LASTIG, F-94160 Saint-Mandé, France, France

Improving LUCAS Dataset Positional Representativeness for Machine Learning Land Cover Mapping

Tomáš Bouček¹, Lukáš Brodský², Martin Landa¹, Onřej Pešek¹, Lena Halounová¹

1: Department of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, Prague, 166 29, Czech Republic; 2: Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University in Prague, Albertov 6, 128 43 Prague, Czech Republic