MoPreAnESD
Project: Modelling, Prediction and Anomaly detection of Earth Surface Dynamics
Collaborating Departments: Department of Mathematics, Statistics (Imperial); Remote Sensing Technology (TUM)
Maja Schneider, Christian Marchington, Marco Körner (2022): Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data, in: arXiv:2210.07178 [cs.DL].
Maja Schneider; Marco Körner (2022): Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring, in: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Maja Schneider, Amelie Broszeit, Marco Krömer (2022): EUROCROPS: A Pan-European Dataset for Time Series Crop Type Classification, in: Proc. of the 2021 conference on Big Data from Space (BiDS’21), pp. 125-132. doi:10.2760/125905.
Dataset: EuroCrops: doi:10.5281/zenodo.6866846
Team
Principal Investigator (Imperial)
Professor Almut Veraart
Professor of Statistics
Department ofMathematics
Principal Investigator (TUM)
PD Marco Körner
Adjunct Teaching Professor and Deputy Head
Chair of Remote Sensing Technology
Doctoral Candidate (Imperial)
Dan Leonte