This page contains automatically translated content.
Dr. Damian Schulze-Brüninghoff
Postdoctoral Researcher
- Telephone
- +49 561 804-1236
- Fax
- +49 561 804-1230
- dam.schubrue[at]uni-kassel[dot]de
- Site
- Universität Kassel
Fachbereich Ökologische Agrarwissenschaften
Fachgebiet Grünlandwissenschaft und Nachwachsende Rohstoffe
Steinstr. 19
37213 Witzenhausen
- Room
- Hörsaalgebäude Steinstraße
Brief introduction
Damian Schulze-Brüninghoff is working since June 2017 at the “Department of Grassland Science and Renewable Plant Resources” at the faculty of “Organic Agricultural Sciences”. He is working in a project for “conservation and restitution of species richness in mountain meadows of the Biosphere reserve Rhön – management of the invasive large leaved lupin (Lupinus polyphyllus Lindl.) in a complex biological reserve” (promoted by the German Federal Environmental Foundation). His core area is the development of remote sensing methods for estimating quantitative and qualitative parameters of extensive grasslands with particular provision for the abundance of L. polyphyllus. Therefore, UAV-based (Unmanned Aerial Vehicle) hyperspectral sensors are used for identification of spectral characteristics and LiDAR (Light Detection And Ranging) systems are utilised to detect spatial characteristics.
Current research projects
DBU Lupine - Conservation and Restoration of Species Diversity in the Mountain Meadows of the Rhön Biosphere Reserve - Management of the Invasive Perennial Lupine (Lupinus polyphyllus Lindl.) in a Complex System of Protected Areas
Peer-reviewed publications in journals
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
| Schulze-Brüninghoff, D., Wachendorf, M., Astor, T., 2021. Potentials and Limitations of WorldView-3 Data for the Detection of Invasive Lupinus polyphyllus Lindl. in Semi-Natural Grasslands. Remote Sensing 13, 4333. https://doi.org/10.3390/rs1321433 |
2019
Further publications & Conference contributions
2021
| Schulze-Brüninghoff, D., Wachendorf, M., Astor, T., 2021. Remote sensing data fusion as a tool for biomass prediction in extensive grasslands invaded by L. polyphyllus. Remote Sensing in Ecology and Conservation 7, 198–213. https://doi.org/10.1002/rse2.182 |
2020
| Cunliffe, A.M., Anderson, K., Boschetti, F., Brazier, R.E., Graham, H.A., Myers-Smith, I.H., Astor, T., Boer, M.M., Calvo, L., Clark, P.E., Cramer, M.D., Encinas-Lara, M.S., Escarzaga, S.M., Fernández-Guisuraga, J.M., Fisher, A.G., Gdulová, K., Gillespie, B.M., Griebel, A., Hanan, N.P., Hanggito, M.S., Haselberger, S., Havrilla, C.A., Heilman, P., Ji, W., Karl, J.W., Kirchhoff, M., Kraushaar, S., Lyons, M.B., Marzolff, I., Mauritz, M.E., McIntire, C.D., Metzen, D., Méndez-Barroso, L.A., Power, S.C., Prošek, J., Sanz-Ablanedo, E., Sauer, K.J., Schulze-Brüninghoff, D., Šímová, P., Sitch, S., Smit, J.L., Steele, C.M., Suárez-Seoane, S., Vargas, S.A., Villarreal, M.L., Visser, F., Wachendorf, M., Wirnsberger, H., Wojcikiewicz, R., 2020. Drone-derived canopy height predicts biomass across non-forest ecosystems globally. bioRxiv NN. https://doi.org/10.1101/2020.07.16.206011 |
| Wijesingha, J., Astor, T., Schulze-Brüninghoff, D., Wachendorf, M., 2020. Mapping Invasive Lupinus polyphyllus Lindl. in Semi-natural Grasslands Using Object-Based Image Analysis of UAV-borne Images. Journal of Photogrammetry, Remote Sensing and Geoinformation Science 20, 391–406. https://doi.org/10.1007/s41064-020-00121-0 |
| 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 |