Auflistung: nach Autor Jarmer, Thomas


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ErscheinungsdatumTitelAutor(en)
2023A coupled multitemporal UAV-based LiDAR and multispectral data approach to model dry biomass of maizeRettig, Robert; Storch, Marcel; Wittstruck, Lucas; Ansah, Christabel Edena; Bald, Richard Janis; Richard, David; Trautz, Dieter; Jarmer, Thomas 
2023A UAV-based rut depth detection - A potential for evaluating soil compaction on farmlandsAnsah, Christabel Edena; Rettig, Robert; Storch, Marcel; Jarmer, Thomas 
2021Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasetsStojanović, Olivera; Siegmann, Bastian; Jarmer, Thomas ; Pipa, Gordon ; Leugering, Johannes
2021Capture of population heterogeneity in trefoil grass with the aid of drone-supported RGB and multispectral data [Erfassung von Bestandsheterogenität im Kleegras mithilfe von drohnengestützten RGB- und Multispektraldaten]Reuter, T.; Nahrstedt, K.; Wittstruck, L.; Jarmer, T. ; Kühling, I.; Trautz, D.
2012Cest analysis: Automated change detection from very-high-resolution remote sensing imagesEhlers, M.; Klonus, S.; Jarmer, T. ; Sofina, N.; Michel, U.; Reinartz, P.; Sirmacek, B.
2012CEST ANALYSIS: AUTOMATED CHANGE DETECTION FROM VERY-HIGH-RESOLUTION REMOTE SENSING IMAGESEhlers, Manfred; Klonus, Sascha; Jarmer, Thomas ; Sofina, Natalia; Michel, Ulrich; Reinartz, Peter; Sirmacek, Beril
2015Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agricultureKoenig, Kristina; Hoefle, Bernhard; Haemmerle, Martin; Jarmer, Thomas ; Siegmann, Bastian; Lilienthal, Holger
2015Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral dataSiegmann, Bastian; Jarmer, Thomas 
2023Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle ImageryPoettker, Maren; Kiehl, Kathrin; Jarmer, Thomas ; Trautz, Dieter
2015Crop ground cover fraction and canopy chlorophyll content mapping using rapideye imageryZillmann, E.; Schönert, M.; Lilienthal, H.; Siegmann, B.; Jarmer, T. ; Rosso, P.; Weichelt, H.
2022Derivation of homogeneous management zones based on vegetation indices in trefoil grass [Ableitung von homogenen Managementzonen anhand von Vegetationsindizes im Kleegras]Reuter, T.; Nahrstedt, K.; Jarmer, T. ; Trautz, D.
2023Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector MachinesStorch, Marcel; de Lange, Norbert ; Jarmer, Thomas ; Waske, Bjorn 
2021Differentiation between maize and weed plants using multispectral UAV image data for subarea specific weed control [Unterscheidung von Mais- und Beikrautpflanzen unter Anwendung von multispektralen UAV-Bilddaten zur teilflächenspezifischen Beikrautregulierung]Wittstruck, L.; Reuter, T.; Nahrstedt, K.; Trautz, D.; Kühling, I.; Jarmer, T. 
2022Estimating LAI From Winter Wheat Using UAV Data and CNNsWittstruck, Lucas; Jarmer, Thomas ; Trautz, Dieter; Waske, Bjoern 
2023Evaluating the Potential of Multispectral Sensor Networks based on Deployments in Wheat FieldsHänel, Thomas; Reese, Matthew O.; Pöttker, Maren; Jarmer, Thomas ; Aschenbruck, Nils
2023Evaluation of a decision support system for the recommendation of pasture harvest date and formReuter, Tobias; Morales, Juan Carlos Saborío; Tieben, Christoph; Nahrstedt, Konstantin; Kraatz, Franz; Meemken, Hendrik; Hünker, Gerrit; Lingemann, Kai; Broll, Gabriele ; Jarmer, Thomas ; Hertzberg, Joachim ; Trautz, Dieter
2018High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield PredictionKanning, Martin; Kuehling, Insa; Trautz, Dieter; Jarmer, Thomas 
2015Identification of Agricultural Crop Types in Northern Israel using Multitemporal RapidEye DataBeyer, Florian; Jarmer, Thomas ; Siegmann, Bastian
2015Improved crop classification using multitemporal RapidEye dataBeyer, F.; Jarmer, T. ; Siegmann, B.; Fischer, P. 
2023Kartierung des Bedeckungsgrads von Cirsium arvense im Mais (Zea mays L.) mithilfe Neuronaler Netze in UAV-DatenPöttker, Maren; Hagemann, David; Pukop, Simon; Jarmer, Thomas ; Trautz, Dieter