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ORCIDThomas Jarmer 0001
Person information
- affiliation: University of Osnabrück, Institute of Computer Science, Germany
- affiliation (PhD 2003): University of Trier, Environmental Remote Sensing and Geoinformatics, Germany
Other persons with the same name
- Thomas Jarmer 0002 — University of Hagen, Department for Mathematics and Computer Science, Germany
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Journal Articles
- 2024
[j17]Niklas Ubben
, Maren Pukrop, Thomas Jarmer:
Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping - A Soybean Field Case Study. Remote. Sens. 16(10): 1778 (2024)- [j16]Anna Teresa Seiche, Lucas Wittstruck, Thomas Jarmer:
Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning - A Comparison between High-End and Low-Cost Multispectral Sensors. Sensors 24(5): 1544 (2024) - 2023
- [j15]Mark Niemeyer, Marian Renz, Maren Pukrop, David Hagemann, Tim Zurheide, Daniel Di Marco, Markus Höferlin, Philipp Stark, Florian Rahe, Matthias Igelbrink, Mario Jenz, Thomas Jarmer, Dieter Trautz, Stefan Stiene, Joachim Hertzberg:
Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation. Künstliche Intell. 37(2): 175-181 (2023) - [j14]Maren Pöttker, Kathrin Kiehl, Thomas Jarmer, Dieter Trautz:
Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery. Remote. Sens. 15(7): 1945 (2023) - [j13]Marcel Storch, Norbert de Lange, Thomas Jarmer, Björn Waske:
Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3158-3173 (2023) - 2022
- [j12]Lucas Wittstruck, Thomas Jarmer, Dieter Trautz, Björn Waske:
Estimating LAI From Winter Wheat Using UAV Data and CNNs. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j11]Marcel Storch, Thomas Jarmer, Mirjam Adam, Norbert de Lange:
Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning. Sensors 22(1): 217 (2022) - 2021
- [j10]Lucas Wittstruck, Insa Kühling, Dieter Trautz, Maik Kohlbrecher, Thomas Jarmer:
UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation. Sensors 21(1): 118 (2021) - [j9]Thomas Hänel, Thomas Jarmer, Nils Aschenbruck:
Learning a Transform Base for the Multi- to Hyperspectral Sensor Network with K-SVD. Sensors 21(21): 7296 (2021) - 2019
- [j8]Jan Bauer, Thomas Jarmer, Siegfried Schittenhelm, Bastian Siegmann, Nils Aschenbruck:
Processing and filtering of leaf area index time series assessed by in-situ wireless sensor networks. Comput. Electron. Agric. 165 (2019) - [j7]Thomas Hänel, Thomas Jarmer, Nils Aschenbruck:
Using distributed compressed sensing to derive continuous hyperspectral imaging from a wireless sensor network. Comput. Electron. Agric. 166 (2019) - 2018
- [j6]Martin Kanning, Insa Kühling, Dieter Trautz, Thomas Jarmer:
High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction. Remote. Sens. 10(12): 2000 (2018) - 2016
- [j5]Jan Bauer, Bastian Siegmann, Thomas Jarmer, Nils Aschenbruck:
On the potential of Wireless Sensor Networks for the in-situ assessment of crop leaf area index. Comput. Electron. Agric. 128: 149-159 (2016) - [j4]Martin Kanning, Bastian Siegmann, Thomas Jarmer:
Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations. Remote. Sens. 8(11): 927 (2016) - [j3]Daniele Cerra, Jakub Bieniarz, Florian Beyer, Jiaojiao Tian, Rupert Müller, Thomas Jarmer, Peter Reinartz:
Cloud Removal in Image Time Series Through Sparse Reconstruction From Random Measurements. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3615-3628 (2016) - 2015
- [j2]Bastian Siegmann, Thomas Jarmer, Florian Beyer, Manfred Ehlers:
The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI. Remote. Sens. 7(10): 12737-12762 (2015) - 2011
- [j1]Maxim Shoshany, Fadi Kizel, Nathan S. Netanyahu, Naftali Goldshlager, Thomas Jarmer, Gilad Even-Tzur:
An Iterative Search in End-Member Fraction Space for Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 8(4): 706-709 (2011)
Conference and Workshop Papers
- 2023
- [c14]Maren Pöttker, David Hagemann, Simon Pukop, Thomas Jarmer, Dieter Trautz:
Kartierung des Bedeckungsgrads von Cirsium arvense im Mais (Zea mays L.) mithilfe Neuronaler Netze in UAV-Daten. GIL Jahrestagung 2023: 195-205 - [c13]Tobias Jorissen, Silke Becker, Konstantin Nahrstedt, Maren Pöttker, Guido Recke, Thomas Jarmer:
Ökonomische Bewertung zum Spot-Spraying durch Drohnentechnik. GIL Jahrestagung 2023: 369-374 - [c12]Konstantin Nahrstedt, Tobias Reuter, Maria Vergara Hernandez, Dieter Trautz, Thomas Jarmer:
Multilokale Modellierung der Bestandesentwicklung von Kleegrasgemengen mittels Leaf Area Index (LAI) und multispektralen Drohnendaten. GIL Jahrestagung 2023: 429-434 - [c11]Robert Rettig, Marcel Storch, Lucas Wittstruck, Christabel E. Ansah, Richard Janis Bald, David Richard, Dieter Trautz, Thomas Jarmer:
A coupled multitemporal UAV-based LiDAR and multispectral data approach to model dry biomass of maize. GIL Jahrestagung 2023: 483-488 - [c10]Tobias Reuter, Juan Carlos Saborío-Morales, Christoph Tieben, Konstantin Nahrstedt, Franz Kraatz, Hendrik Meemken, Gerrit Hünker, Kai Lingemann, Gabriele Broll, Thomas Jarmer, Joachim Hertzberg, Dieter Trautz:
Evaluation of a decision support system for the recommendation of pasture harvest date and form. GIL Jahrestagung 2023: 489-494 - [c9]Lucas Wittstruck, Heike Gerighausen, Annelie Säurich, Markus Möller, Knut Hartmann, Michael Steininger, Simone Zepp, Thomas Jarmer:
Räumliche Erfassung des organischen Kohlenstoffgehaltes von Böden einer landwirtschaftlichen Intensivregion aus Sentinel-2-Daten. GIL Jahrestagung 2023: 531-536 - 2022
- [c8]Tobias Reuter, Konstantin Nahrstedt, Thomas Jarmer, Dieter Trautz:
Ableitung von homogenen Managementzonen anhand von Vegetationsindizes im Kleegras. GIL Jahrestagung 2022: 247-252 - [c7]Christoph Tieben, Tobias Reuter, Konstantin Nahrstedt, Franz Kraatz, Kai Lingemann, Dieter Trautz, Thomas Jarmer, Joachim Hertzberg:
Auf dem Weg zu einem Entscheidungsunterstützungs-system zur Pflege und Ernte von Grünlandflächen. GIL Jahrestagung 2022: 289-294 - 2021
- [c6]Tobias Reuter, Konstantin Nahrstedt, Lucas Wittstruck, Thomas Jarmer, Insa Kühling, Dieter Trautz:
Erfassung von Bestandsheterogenität im Kleegras mithilfe von drohnengestützten RGB- und Multispektraldaten. GIL Jahrestagung 2021: 271-276 - [c5]Lucas Wittstruck, Tobias Reuter, Konstantin Nahrstedt, Dieter Trautz, Insa Kühling, Thomas Jarmer:
Unterscheidung von Mais- und Beikrautpflanzen unter Anwendung von multispektralen UAV-Bilddaten zur teilflächenspezifischen Beikrautregulierung. GIL Jahrestagung 2021: 349-354 - 2016
- [c4]Jan Bauer, Bastian Siegmann, Thomas Jarmer, Nils Aschenbruck:
Towards in-situ sensor network assisted remote sensing of crop parameters: poster. MobiHoc 2016: 385-386 - [c3]Jan Bauer, Bastian Siegmann, Thomas Jarmer, Nils Aschenbruck:
Smart fLAIr: A smartphone application for fast LAI retrieval using Ambient Light Sensors. SAS 2016: 1-6 - 2015
- [c2]Florian Beyer, Thomas Jarmer, Bastian Siegmann, Peter Fischer:
Improved crop classification using multitemporal RapidEye data. MultiTemp 2015: 1-4 - 2014
- [c1]Jan Bauer, Bastian Siegmann, Thomas Jarmer, Nils Aschenbruck:
On the potential of Wireless Sensor Networks for the in-field assessment of bio-physical crop parameters. LCN Workshops 2014: 523-530
Coauthor Index
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