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Dr. Matthias Wengert
Postdoctoral Researcher
- Telephone
- +49 561 804-1236
- m.wengert[at]uni-kassel[dot]de
- Location
- University of Kassel
Faculty of Organic Agricultural Sciences
Section of Grassland Science and Renewable Plant Resources
Steinstr. 19
37213 Witzenhausen
- Room
- Lecture hall building Steinstrasse
Brief introduction
Matthias Wengert is a postdoctoral researcher at the section of Grassland Science and Renewable Plant Resources at the University of Kassel. His research focus is on the development of drone-borne remote sensing methods for analyzing the spatio-temporal variability of plant parameters in crops. Drone-borne data are utilized for mapping yield, forage quality, and sward composition of grasslands, forages, and arable crops at very high resolution. Another research field is the development of drone-borne methods for analyzing tree-crop/grassland interactions and their spatio-temporal patterns in agroforestry systems.
Research interests
- Development of models based on UAV-borne remote sensing data (RGB, multispectral, hyperspectral, 3D point clouds) for the estimation of agronomically relevant plant parameters
- Analysis of spatio-temporal patterns in crops and forages for improved understanding of interactions in cropping systems
- Remote sensing-based mapping of plant parameters for the analysis of the effect of grazing on the biodiversity of grassland and forages
Current research projects
GreenDairy - Integrierte Tier-Pflanze-Agrarökosysteme
KleeAss - Differenziertes Feldfuttermanagement: Systemvergleich auf Fruchtfolgeebene
Publications
2025
| Wengert, M., Piepho, H.-P., Astor, T., Graß, R., Wachendorf, M., Wijesingha, J., 2025. Spatial-temporal heterogeneity of yield, protein concentration, and leaf area index in grassland agroforestry systems can be modeled from UAV-borne imagery. Computers and Electronics in Agriculture 237, 110575. https://doi.org/10.1016/j.compag.2025.110575 |
2024
| Saucke, H., Nicol, C., Schelp, C., Wengert, M., Wijesingha, J., Stein-Bachinger, K., 2024. Kleegrasflächen mit Milchviehbeweidung: Einflüsse auf die Artenvielfalt am Beispiel Hessische Staatsdomäne Frankenhausen, in: Oberhofer, M. (Hrsg.), Beiträge zur 17. Wissenschaftstagung Ökologischer Landbau. FiBL Projekt GmbH, FiBL Frick, S. TBD. |
2023
| Wengert, M., Schulze-Brüninghoff, D., Weigelt, L., Wachendorf, M., Wijesingha, J., 2023. Drohnenbasierte Schätzung der räumlichen Variabilität von Luzerne-Ertragsanteilen in Luzerne-Gras-Gemengen, in: FiBL (Hrsg.), 16. Wissenschaftstagung Ökologischer Landbau. Frick, S. 1–4. |
| Weigelt, L., Wengert, M., Wachendorf, M., Wijesingha, J., 2023. Spatio-temporal variability of legume content in alfalfa-grass mixtures using UAV-borne images, in: H.-P. Kaul, R. Neugschwandtner, L.Francke-Weltmann (Hrsg.), 64. Jahrestangug der Gesellschaft für Pflanzenbauwissenschaften. Göttingen, S. 87–88. |
2022
| Wengert, M., Wijesingha, J., Schulze-Brüninghoff, D., Wachendorf, M., Astor, T., 2022. Multisite and Multitemporal Grassland Yield Estimation Using UAV-Borne Hyperspectral Data. Remote Sensing 14, 2068. https://doi.org/10.3390/rs14092068 |
2021
| Wengert, M., Piepho, H.-P., Astor, T., Graß, R., Wijesingha, J., Wachendorf, M., 2021. Assessing spatial variability of barley whole crop biomass yield and leaf area index in silvoarable agroforestry systems using UAV-borne remote sensing. Remote Sensing 13, 2751. https://doi.org/10.3390/rs13142751 |
2020
| Wijesingha, J., Astor, T., Schulze-Brüninghoff, D., Wengert, M., Wachendorf, M., 2020. Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy. Remote Sensing 12, 126. https://doi.org/10.3390/rs12010126 |