Thomas Astor - Research Information System | University of Kassel

Dr. Thomas Astor

Research Areas

Research Interest

Estimation of different parameter of grassland science (e.g. bioenergetic potential, biomass) with the help of spectral and laser-based remote sensing techniques Evaluation and estimation of plant diversity in grasslands

Academic background

07/2015 - recent Scientist University of Kassel

05/2015 - PhD degree

10/2010 - 05/2015 PhD studies at Lund University

09/2009 Diploma in Geoecologiy

2004 - 2009 Study of Geoecology at Bayreuth University

Projects as Co-Investigator

08/2016 - 07/2019

Erfassung struktureller und funktionaler Eigenschaften pflanzenbaulicher Anbausysteme mit modernen terrestrischen sowie luft- und raumgestützten Fernerkundungsmethoden

Publications

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2020	Kyere, I., Astor, T., Graß, R., Wachendorf, M., 2020. Agricultural crop discrimination in a heterogeneous low-mountain range region based on multi-temporal and multi-sensor satellite data. Computers and Electronics in Agriculture 179, 105864. https://doi.org/10.1016/j.compag.2020.105864
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
2020	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 88, 391–406. https://doi.org/10.1007/s41064-020-00121-0
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
2020	Astor, T., Grüner, E., Wachendorf, M., 2020. Prediction of biomass and N fixation of legume-grass mixtures using sensor fusion. Frontiers in Plant Science 11, 603921. https://doi.org/10.3389/fpls.2020.603921
2020	Grüner, E., Wachendorf, M., Astor, T., 2020. The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures. PLOS ONE 15, e0234703. https://doi.org/10.1371/journal.pone.0234703
2020	Astor, T., Dayananda, S., Nautiyal, S., Wachendorf, M., 2020. Vegetable Crop Biomass Estimation Using Hyperspectral and RGB 3D UAV Data. Agronomy 10, 1600. https://doi.org/10.3390/agronomy10101600
2019	Grüner, E., Astor, T., Wachendorf, M., 2019. Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging. Agronomy Journal 9, 54. https://doi.org/10.3390/agronomy9020054
2019	Wengert, M., Wijesingha, J., Astor, T., Wachendorf, M., 2019. Ertrags- und Qualitätsschätzung von Grünland mittels drohnengestützter hyperspektraler Bilder, in: Stützel, H., Fricke, A., Francke-Weltmann, L. (Hrsg.), Landscape Matters - Agrarlandschaften der Zukunft. Kurzfassungen der Vorträge und Poster. Verlag Liddy Halm, Göttingen, S. 29–30.
2019	Wijesingha, J., Astor, T., Hensgen, F., Wachendorf, M., 2019. Evaluation of 3D point cloud-based models for the prediction of grassland biomass. International Journal of Applied Earth Observation and Geoinformation 78, 352–359. https://doi.org/10.1016/j.jag.2018.10.006

Lectures

09/2018	Can remote sensing help to examine agricultural intensification in vegetable crop production? Indo-German Conference on Rural-Urban Transitions, Bangalore, Indien
09/2018	Estimating grassland biomass - Potentials and limitations of point cloud analysis 10th International Conference on Ecological Informatics, Jena
09/2018	Fusion of hyperspectral imagery with point cloud information to predict biomass of agricultural crops
06/2018	The Benefits of Sensors in Grassland Science 1. Workshop of the working group "Sensors in grasslands", Cork Irland
08/2015	Prediction of fine-scale plant diversity in grasslands using airborne hyperspectral measurements. 45th annual conference of the Ecological Society of Germany, Austria and Switzerland
05/2015	Multispectral and hyperspectral remote sensing in grassland. How much can remote sensing contribute to grassland research Seminar series at Swedish Agriculture University (SLU)
05/2014	Estimating plant diversity, habitat quality and successional stage of grasslands by means of hyperspectral remote sensing Berufspraktikum Geoökologie
03/2012	Monitoring fragmented semi-natural grasslands in agricultural landscapes using hyperspectral resolution imagery Lunch Seminar Series
10/2018	Ecological remote sensing of grasslands Arbeitsgruppenseminar des Departments für Nutzplanzenwissenschaften, Abteilung Agrarökologie, Göttingen

Other Research Activities

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2019	Stauden-Lupine im Grünland des Biosphärenreservats Rhön Advising activity
2018	2. Workshop der AG „Fernerkundung in den Pflanzenbauwissenschaften Workshop or training
2018	Erfassung der Obstbaumflächen im Gemeindegebiet Witzenhausen - Feldaufnahme und Einsatz von GIS - Advising activity
2018	Estimation of Forage Quality in Grassland Using UAV-based Hyperspectral Measurements Advising activity
2018	Fernerkundung und GIS Teaching
2018	Multi-Temporal Biomass Estimation of Vegetable Crops Using Unmanned Aerial Vehicles. Poster presentation
2017	1. Workshop der AG „Fernerkundung in den Pflanzenbauwissenschaften Workshop or training
2017	60. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften 26.- 28. September 2017 Conference or similar event
2017	Fernerkundung und GIS Teaching
2017	LiDAR-based estimation of lupin (Lupinus polyphyllus) biomass in grasslands Advising activity