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

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

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

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

Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science

Enzo Campomanes¹, Lorraine Trento Oliveira¹, Mariana Belgiu², Angela Abascal¹, Anne Dijkstra¹, Monika Kuffer¹

1: University of Twente, Netherlands, The; 2: Universidad Pública de Navarra, Spain

Identification And Mapping Of High-Risk Urban Settlements For Malaria Control Using Artificial Intelligence And Building Morphological Metrics for Nigerian Cities

Laurette Mhlanga¹, Laique Merlin Djeutchouang^1,2, Hephzibah A Adenji¹, Bernard O Boateng¹, Eniola A Bamgboye¹, Joshua Akinyemi^3,4,5, Akintayo O Ogunwale^2,6, IkeOluwapo Ajayi^2,3, Ifeoma D Ozodiegwu¹

1: Loyola University, Chicago, United States of America; 2: School for Climate Studies, Stellenbosch University; 3: Epidemiology and Biostatistics Research Unit, Institute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria; 4: Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria; 5: Infectious Diseases Institute, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria; 6: Department of Public Health, College of Health Sciences, Bowen University, Iwo, Osun, Nigeria

Understanding Informal Settlement Transformation through Google's 2.5D Dataset and Street View based Validation

Sai Ganesh Veeravalli^1,2, Stefanos Georganos¹, John Friesen³, Jan Haas¹

1: Geomatics, Karlstad University, Karlstad, Sweden; 2: Risk and Environmental Studies, Karlstad University, Sweden; 3: Department of Global Urbanization and Remote Sensing, University of Wurzburg, Germany

Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality In African Slums

Sally Ama Sampson¹, Angela Abascal², Jion Wang³, Sabine Vanhysse⁴, Ignacio Rodríguez Carreño⁵, Ignacio Garcia Ruiz², Monika Kuffer³

1: Navarra Centre for International Development (NCID), Universidad de Navarra; 2: Department of Engineering, Public University of Navarre (UPNA); 3: Faculty of Geo-Information Science & Earth Observation (ITC), University of Twente; 4: Department of Geosciences, Environment & Society, Université libre De Bruxelles (ULB); 5: Business Department, School of Business Administration and Economics, University of Navarra

Innovative Data Solutions for Inclusive Cities: The IDEAtlas User Portal

Bedru Tareke¹, Paulo Silva Filho¹, Monika Kuffer¹, Claudio Persello¹, Raian V. Maretto¹, Jon Wang¹, Angela Abascal², Priam Pillai³, Binti Singh⁴, Juan Manuel D'Attoli⁵, Caroline Kabaria⁶, Juilo Pedrassoli⁶, Patricia Brito⁷, Peter Elias⁸, Elio Atenógenes⁹, Andrea Ramírez Santiago⁹, Wahyu Mulyana¹⁰, Jati Pratomo¹, Ruth Leska¹¹, Jan Streitenberger¹¹, Dennis Mwaniki¹², Dana R. Thomson¹³, Ronald Jansen¹⁴

1: University of Twente, Netherlands, The; 2: Universidad Pública de Navarra, Spain; 3: Pillai College of Engineering, Navi Mumbai, India; 4: KRVIA, Mumbai, India; 5: National Registry of Informal Settlements, Argentina; 6: APHRC, Nairobi, Kenya; 7: Universidade Federal da Bahia, Salvador, Brazil; 8: University of Lagos, Nigeria; 9: INEGI, Mexico; 10: Urban and Regional Development Institute, Jakarta, Indonesia; 11: GeoVille, Austria; 12: UN-Habitat, Nairobi, Kenya; 13: Colombia University, US; 14: United Nations Statistics Division, US

3D Building Reconstruction Based on Publicly Available Satellite Data in Nairobi

Yingying Pei¹, Qunshan Zhao², Junye Wang¹, Zhi Zheng³, Xinyi Liu¹, Yongjun Zhang¹, Yi Wan¹

1: School of Remote Sensing and Information Engineering, Wuhan University, China; 2: Urban Big Data Centre, University of Glasgow, United Kingdom; 3: Dpt. of Geography and Resource Management, CUHK, N.T, Shatin, Hong Kong, China

The Shape Of Urban Life: Built Form of Cities Across Africa Reveals Socioeconomic Status

Jiong Wang¹, Angela Abascal², Stefanos Georganos³, Sabine Vanhuysses⁴

1: University of Twente, Netherlands, The; 2: Public University of Navarre (UPNA); 3: Geomatics, Karlstad University, Karlstad, Sweden; 4: Université libre De Bruxelles

Assessment of Biases in Crop Detection of Common Land Cover Products in sub-Saharan Africa

E. Sophia Klaußner¹, Gary Watmough², Stefan Lang¹

1: University of Salzburg, Austria; 2: University of Edinburgh, United Kingdom

Assessment of Economic Well-being in South Africa Based on Remote Sensing Transfer Learning

Longfei Wang^1,2, Tengfei Long^1,2, Elhadi Adam³

1: Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China; 2: University of Chinese Academy of Sciences, Beijing 100049, China; 3: University of the Witwatersrand, Johannesburg 2050, South Africa

Shifting Landscapes in Nairobi: Unveiling Slum Dynamics, Growth, and Mobility Patterns Over Time

Nicolas J. Kraff¹, Angela Abascal², John Friesen³, Monika Kuffer⁴, Hannes Taubenböck^1,3

1: German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany; 2: Department of Engineering, Public University of Navarra (UPNA), Pamplona, Spain; 3: Institute for Geography and Geology, University of Würzburg, 97074 Würzburg, Germany; 4: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7522 NB Enschede, The Netherlands

Towards a Spatial Measure of SDG 11.1.1: Open Data for Urban Deprivation Mapping

Stefanos Georganos¹, Sai Ganesh Veeravalli¹, Florencio Campones V², Sebastian Hafner³, John Friesen⁴, Dana R. Thomson⁵, Robert Ndugwa⁶, Dennis Mwaniki⁶, Angela Abascal⁷, Peter Elias⁸, Tobi Eniolu Morakinyo⁹, Julio Pedrassoli¹⁰, Gabriel de Oliveira¹¹, Anthony Boanada-Fuchs¹², Boris Zerjav¹³, Monika Kuffer², Juan Manuel D'Attoli¹⁴

1: Geomatics, Karlstad University, Karlstad, Sweden; 2: ITC, University of Twente, Enschede, Netherlands; 3: UBDC, University of Glasgow, Glasgow, Scotland; 4: Dept. of Remote Sensing, University of Würzburg, Würzburg, Germany; 5: CIESIN, Columbia Climate School, New York, USA; 6: Data & Analytics, UN-Habitat, Nairobi, Kenya; 7: Public University of Navarra, Pamplona, Spain; 8: University of Lagos, Lagos, Nigeria; 9: Dept. of Geography, Texas A&M University, Texas, USA; 10: Western Michigan University, Kalamazoo, USA; 11: University of South Alabama, Alabama, USA; 12: HIS, Erasmus University Rotterdam, Rotterdam, Netherlands; 13: World Bank, Belgrade, Serbia; 14: Registro Nacional de Barrios Populares

Modelling heat susceptibility in Deprived Urban Areas with open Earth Observation images and geospatial datasets

Sabine Vanhuysse¹, Angela Abascal², Jiong Wang³, Stefanos Georganos⁴, Monika Kuffer³, Eléonore Wolff¹

1: Université libre de Bruxelles (ULB), Belgium; 2: Public University of Navarre (UPNA), Spain; 3: University of Twente, The Netherlands; 4: Geomatics, Karlstad University, Karlstad, Sweden

A ten-year research in landslides of Western Greece using UAVs.

Aggeliki S. Kyriou, Ioannis Koukouvelas, Konstantinos G. Nikolakopoulos

University of Patras, Greece

Satellite Imagery for Bauxite Tailing Mapping in the Frame of the M4mining Project

Evlampia Kouzeli¹, Konstantinos Nikolakopoulos¹, Olga Sykioti², Saeid Asadzadeh³, Friederike Koerting⁴, Daniel Schläpfer⁵

1: University of Patras; 2: National Observatory of Athens; 3: GFZ; 4: Norsk Elektro Optikk AS; 5: ReSe Applications LLC

Devastating Natural Hazard Observation With The Combination Of Optical And Microwave Remote Sensing Datasets Valencia 2025 Flood

Hasan Bilgehan Makineci

konya technical university, Turkiye

Deciphering Exterior: Building Energy Efficiency Prediction with Emerging Urban Big Data

Maoran Sun¹, Ce Hou², Qiaosi Li³, Fan Zhang⁴, Ronita Bardhan¹, Qunshan Zhao³

1: Sustainable Design Group, University of Cambridge, United Kingdom; 2: Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong; 3: Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow, United Kingdom; 4: Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing, China

Mapping Agricultural Landscape Heterogeneity over Six Decades: Automatic Field Segmentation Using Historic and Modern Remote Sensing Data

Eric Kosczor¹, Matthias Forkel¹, Anna Cord²

1: TUD Dresden University of Technology, Junior Professorship in Environmental Remote Sensing, Dresden, Germany; 2: University of Bonn, Institute of Crop Science and Resource Conservation, Bonn, Germany

Mapping Slums in Kenya by a Combination of Building Footprint Metrics and Optical Imagery

Hang Yang¹, Eunice Jimmy², Jasper van Vliet¹

1: Institute of Environmental Studies, Vrije University Amsterdam, The Netherlands; 2: Department of Architecture, University of Naples Federico II, Italy

The Role Of Land Use Intensity On Vegetation Recovery Gradients After Land Abandonment In The Semiarid SE Alentejo, Portugal

Henrique Morgado Cerqueira¹, Maria José Roxo¹, Adolfo Calvo-Cases²

1: CICS.NOVA - Centro Interdisciplinar de Ciências Sociais, FCSH-UNL, Lisbon, Portugal; 2: Inter-University Institute for Local Development, Unversitat de València, Spain

How The Variability Of Tree Predictors And Biomass Changes With The Different Complexity Of Virtual 3D Scenes

Tomáš Hanousek^1,2, Jan Novotný¹, Barbora Navrátilová¹, Růžena Janoutová¹

1: Global Change Research Institute of the Czech Academy of Sciences; 2: Department of Geography, Faculty of Science, Masaryk University

Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint Data

Sebastian Hafner¹, Qunshan Zhao¹, Angela Abascal², Manuella Comerio de Paulo¹, Grant Tregonning¹, Alexandra Middleton³, Adenike Shonowo¹, Monika Kuffer⁴, Ryan Engstrom⁵, Dana R. Thomson⁶, Francis C. Onyambu⁷, Caroline Kabaria⁷, Peter Elias⁸, Oluwatoyin Odulana⁸, Bunmi Alugbin⁸, Kehinde Baruwa⁸, João Porto de Albuquerque¹

1: Urban Big Data Centre (UBDC), University of Glasgow, Glasgow, United Kingdom; 2: Engineer Department, Public University of Navarra, Pamplona, Spain; 3: University of Warwick, Warwick, United Kingdom; 4: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enchede Netherlands; 5: Department of Geography & Environment, George Washinton University, Washington, D.C., United States; 6: Center for Integrated Earth System Information (CIESIN), Columbia University, New York, United States; 7: African Population and Health Research Center (APHRC), Nairobi, Kenya; 8: University of Lagos, Lagos, Nigeria

Machine Learning-Based Assessment of Agricultural Flood Damage with Sentinel-2 Data: The 2023 Emilia-Romagna Floods

Filippo Bocchino¹, Valeria Belloni¹, Roberta Ravanelli², Roderik Lindenbergh³

1: DICEA, Geodesy and Geomatics Division, Sapienza University of Rome, Rome, Italy; 2: Geomatics Unit, Department of Geography, University of Liège, Belgium; 3: Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands

Integrating Multimodal Remote Sensing And Artificial Intelligence To Distinguish Combined Nitrogen And Irrigation Treatments In Sesame

Maitreya Mohan Sahoo¹, Rom Tarshish¹, Yaniv Tubul¹, Idan Sabag¹, Yaron Gadri¹, Gota Morota², Zvi Peleg¹, Victor Alchanatis³, Ittai Herrmann¹

1: The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel; 2: School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA; 3: Institute of Agricultural Engineering, Agricultural Research Organization – Volcani Institute, Rishon LeZion 7505101, Israel

Spectral Response Of Pre-planting Tillage Practices From PlanetScope And Field Spectroscopy Measurements

Vidya Nahdhiyatul Fikriyah^1,2, Roshanak Darvishzadeh¹, Stephan M Haefele³, Andrew Nelson¹

1: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands; 2: Faculty of Geography, Universitas Muhammadiyah Surakarta, Indonesia; 3: Sustainable Soils and Crops, Rothamsted Research, UK

Accuracy Assessment of MOD16A2 Evapotranspiration Estimates in Piemonte (NW Italy): an Analysis of Temporal and Spatial Biases

Edoardo Ronco¹, Enrico Borgogno-Mondino²

1: University of Turin, Italy; 2: University of Turin, Italy and Italian Society of Remote Sensing (AIT)

Standard to Validate Innovations in Agricultural Testing

Penny Nagel¹, Warren Zamudio¹, SiriJodha Khalsa², Katsutoshi Mizuta PhD³

1: Soilytics, United States of America; 2: University of Colorado; 3: University of Kentucky

Evaluating Different Methods For The Estimation Of Bare Soil Surface Reflectance Using Multi-spectral Satellite Image Time Series

Eleni Sofikiti, Vasileios Tsironis, Konstantinos Karantzalos

National Technical University of Athens, Greece

Linking Phenological Development at Landscape And Field Level By Means Of Sentinel-1 Time Series

Johannes Markus Löw¹, Steven Hill², Christoph Friedrich², Insa Otte², Tobias Ullmann², Christopher Conrad¹

1: Martin-Luther-University Halle-Wittenberg, Germany; 2: Earth Observation Research Cluster, University of Würzburg

Leveraging Genomic and UAV-Borne Phenotyping Promote Climate Change Resilience Wheat Improvement

Roy Sadeh¹, Victor Alchantis², Roi Ben david³, Zvi Peleg¹, Ittai Herrmann¹

1: The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem; 2: Institute of Agricultural and Biosystems Engineering, Agricultural Research Organization - Volcani Institute, Rishon LeZion, Israel; 3: Institute of Plant Sciences, Agriculture Research Organization - Volcani Institute, Rishon LeZion, Israel

Multi-Year Multi-Crop Correlation Analysis in Brasov Area

Ioana Plajer¹, Alexandra Baicoianu¹, Matei Debu¹, Maria Stefan², Mihai Ivanovici¹, Corneliu Florea^1,3, Adrian Ghinea², Luciana Majercsik¹

1: Transilvania University of Brasov, Romania; 2: National Institute of Research and Development for Potato and Sugar Beet, Brasov, Romania; 3: National University of Science and Technology Politehnica Bucharest, Romania

Anomaly Detection In Permanent Grasslands For CAP Compliance Monitoring Using Sentinel-2

Eric Kosczor¹, Christine Wessollek¹, Daniel Kinalczyk¹, Pierre Karrasch², Nora Egli², Matthias Forkel¹

1: TUD Dresden University of Technology, Junior Professorship in Environmental Remote Sensing, Dresden, Germany; 2: Saxon State Office for Environment, Agriculture and Geology (LfULG), Dresden, Germany

Monitoring Soybeans and Ozone Relationship with TROPOMI Solar-Induced Fluorescence

Luka Mamic^1,4, Mj Riches², Delphine K. Farmer², Rose K. Rossell², Francesco Pirotti^3,4

1: Sapienza University of Rome, Department of Civil, Building and Environmental Engineering, Italy; 2: Colorado State University, Department of Chemistry, United States of America; 3: University of Padua, Department of Land and Agroforestry Systems (TESAF), Italy; 4: University of Padua, Interdepartmental Research Centre in Geomatics (CIRGEO), Italy