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Thomas 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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2020 – today
- 2024
- [j18]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) - [j17]Konstantin Nahrstedt, Tobias Reuter, Dieter Trautz, Björn Waske, Thomas Jarmer:
Classifying Stand Compositions in Clover Grass Based on High-Resolution Multispectral UAV Images. Remote. Sens. 16(14): 2684 (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) - [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
- [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) - [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
- [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) - [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
2010 – 2019
- 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) - [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
- [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) - [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 - 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)
Coauthor Index
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last updated on 2024-08-15 23:45 CEST by the dblp team
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