Publikationen
Lennart Kaiser, Thomas Hänel, Sebastian Vogel, and Nils Aschenbruck. (2025).
A long-term evaluation of soil moisture sensing based on wireless communication.
Computers and Electronics in Agriculture 239 (2025) 111054.
doi.org/10.1016/j.compag.2025.111054
Jonas Schmidinger, Sebastian Vogel, Viacheslav Barkov, Anh-Duy Pahm, Robin Gebbers, Hamid Tavakoli, ... and Martin Atzmüller. (2025).
LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping.
Geoderma, 459, 117337.
doi.org/10.1016/j.geoderma.2025.117337
Amin Naboureh, Ainong Li, Jinhu Bian, Meysam Moharrami, Hamid Ebrahimy, Guangbin Lei, and Meisam Amani. (2025).
Accuracies, discrepancies, and challenges of the 10 m global land cover products in mountains.
GIScience & Remote Sensing, 62(1), 2556064.
doi.org/10.1080/15481603.2025.2556064
Oliver Schütte, Moritz Lucas, and Björn Waske. (2025).
Individual tree crown delineation in heterogenous urban environments using high-resolution airborne imagery.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99):1-17.
doi.org/10.1109/JSTARS.2025.3626942
Paola D’Orazio and Anh-Duy Pham. (2025).
Evaluating climate-related financial policies’ impact on decarbonization with machine learning methods.
Scientific Reports, 15(1), 1694.
https://doi.org/10.1038/s41598-025-85127-7
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers and Martin Atzmüller. (2024).
An efficient model-agnostic approach for uncertainty estimation in data-restricted pedometric applications.
2024 International Conference on Machine Learning and Applications (ICMLA), pp. 198–205, 2024.
doi.org/10.1109/ICMLA61862.2024.00033
Thomas Hänel and Lennart Kaiser. (2024).
Estimating Soil Moisture with COTS Hardware Using BLE’s Angle-Of-Arrival Feature.
2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France, 2024 pp. 1-6.
doi.org/10.1109/LCN60385.2024.10639811
Moritz Lucas, Viacheslav Barkov, Ralf Pecenka, Martin Atzmüller, Björn Waske. (2024)
Mapping Trees Outside Forests Using Semantic Segmentation.
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium.
Athens, Greece, 2024, pp. 4435-4438
doi.org/10.1109/IGARSS53475.2024.10641035
Matthias Reitzner, Tim Römer, and Mandala von Westenholz. (2024).
Covariance matrices of length power functionals of random geometric graphs – an asymptotic analysis.
Linear Algebra Appl. 691, 151-181.
doi.org/10.1016/j.laa.2024.03.032
Jonas Schmidinger, Viacheslav Barkov, Hamed Tavakoli et al. (2024).
Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors.
Geoderma, 450, 117017.
doi.org/10.1016/j.geoderma.2024.117017
Jonas Schmidinger, Ingmar Schröter, Eric Bönecke et al. (2024).
Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming.
Precision Agriculture 25(3), 1529–1555.
doi.org/10.1007/s11119-024-10122-3
Daniel Otten, Thomas Hänel, Tim Römer, and Nils Aschenbruck. (2023).
Generating more Realistic Packet Loss Patterns for Wireless links using Neural Networks.
The International FLAIRS Conference Proceedings, 36(1)
doi.org/10.32473/flairs.36.133099
Sonstige Beiträge
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, and Martin Atzmüller. (2025).
Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping?
arXiv preprint.
doi.org/10.48550/arXiv.2508.09888
Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel, Martin Atzmüller, and Gerad B M Heuvelink. (2025).
Kriging prior Regression: A Case for Kriging-Based Spatial Features with TabPFN in Soil Mapping.
arXiv preprint.
doi.org/10.48550/arXiv.2509.09408
Moritz Lucas, Hamid Ebrahimy, Ralf Pecenka, Kai-Uwe Kühnberger, and Björn Waske. (2025).
Mapping and Classification of Trees Outside Forests using Deep Learning.
arXiv preprint.
doi.org/10.48550/arXiv.2510.25239
Hamid Ebrahimy and Martin Atzmüller. (2025).
The Potential of Synthetic Data Generation in Predicting Agricultural Variables Using Machine Learning and Remote Sensing Data in Data Scarce Situations.
Poster presented at ESA Living Planet Symposium,
Wien, Austria (23 – 27 June, 2025)
Moritz Lucas, Kai-Uwe Kühnberger, Ralf Pecenka, Hamid Ebrahimy, and Björn Waske. (2025).
A Deep Learning Approach for Large-Scale Mapping of Trees Outside Forests in Germany.
Poster presented at ESA Living Planet Symposium,
Wien, Austria (23 – 27 June, 2025)
Clara Lößl, Viacheslav Barkov, Marcel Storch, and Thomas Jarmer. (2025).
Using Geometric UAV Data to derive biophysical plant properties in tree plantations.
Poster presented at ESA Living Planet Symposium,
Wien, Austria (23 – 27 June, 2025)
Moritz Lucas. (2025).
Amtliche Orthofotos zentral verfügbar: Eine Open-Source-Lösung für Deutschland.
Presented at the FOSSGIS-Konferenz 2025,
Münster, Germany (March 26 – 29, 2025)
Clara Lößl, Viacheslav Barkov, Marcel Storch, Lisa Schulz-Nielsen, Ralf Pecenka, Martin Atzmüller, and Thomas Jarmer. (2025).
Towards Precision Short Rotation Coppice Inventory Assessment through UAV-borne LiDAR Tree Diameter Estimation.
Oral presentation at International Conference on Advanced Remote Sensing (ICARS) Conference,
Barcelona, Spain (26 – 28 March, 2025)
Clara Lößl, Viacheslav Barkov, Marcel Storch, Lisa Schulz-Nielsen, Ralf Pecenka, Martin Atzmüller, and Thomas Jarmer. (2025).
Estimating Diameter at Breast Height for Fast-Growing Coppice Trees with Aerial Laser Scanning.
Oral presentation at GIL-Jahrestagung,
Wieselburg, Austria (25 – 26 February, 2025)
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, and Martin Atzmüller. (2025).
Efficient Uncertainty Estimation for Digital Soil Mapping.
Oral presentation at GIL-Jahrestagung,
Wieselburg, Austria (25 – 26 February, 2025)
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, and Martin Atzmüller. (2025).
A Model-Agnostic Approach for Reliable Uncertainty Estimation in Digital Soil Mapping.
Oral presentation at 3rd Joint Workshop on Digital Soil Mapping & GlobalSoilMap, ICAR-NBSS&LUP,
Bangaluru, India, (21 – 24 January, 2025)
Marina Höhne, Sharvari Raut, Barbara Sturm, and Martin Atzmüller. (2023).
Explainable AI Methods for Multimodal Data in the Circular Bioeconomy.
2023 Circular Bioeconomy Systems (CBS) Day, ASABE Annual International Meeting (AIM),
Omaha, Nebraska (9 – 12 July, 2023)
Sharvari Raut, Barbara Sturm, and Tim Römer. (2023)
Artificial Intelligence: A solution for food process optimization.
2023 Circular Bioeconomy Systems (CBS) Day, ASABE Annual International Meeting (AIM),
Omaha, Nebraska (9 – 12 July, 2023).