Thomas Jarmer
Orcid: 0000-0002-4652-1640Affiliations:
- University of Osnabrück, Institute of Computer Science, Germany
- University of Trier, Environmental Remote Sensing and Geoinformatics, Germany (PhD 2003)
According to our database1,
Thomas Jarmer
authored at least 35 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on uni-trier.de
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on orcid.org
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Bibliography
2024
Multi-Stage Feature Fusion of Multispectral and SAR Satellite Images for Seasonal Crop-Type Mapping at Regional Scale Using an Adapted 3D U-Net Model.
Remote. Sens., September, 2024
Classifying Stand Compositions in Clover Grass Based on High-Resolution Multispectral UAV Images.
Remote. Sens., July, 2024
Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping - A Soybean Field Case Study.
Remote. Sens., May, 2024
Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning - A Comparison between High-End and Low-Cost Multispectral Sensors.
Sensors, March, 2024
Proceedings of the 44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2024
Comparison of UAV- and mowing machine-mounted LiDAR for grassland canopy height estimation.
Proceedings of the 44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2024
2023
Künstliche Intell., December, 2023
Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery.
Remote. Sens., April, 2023
Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Räumliche Erfassung des organischen Kohlenstoffgehaltes von Böden einer landwirtschaftlichen Intensivregion aus Sentinel-2-Daten.
Proceedings of the 43. GIL-Jahrestagung, 2023
Evaluation of a decision support system for the recommendation of pasture harvest date and form.
Proceedings of the 43. GIL-Jahrestagung, 2023
A coupled multitemporal UAV-based LiDAR and multispectral data approach to model dry biomass of maize.
Proceedings of the 43. GIL-Jahrestagung, 2023
Kartierung des Bedeckungsgrads von Cirsium arvense im Mais (Zea mays L.) mithilfe Neuronaler Netze in UAV-Daten.
Proceedings of the 43. GIL-Jahrestagung, 2023
Multilokale Modellierung der Bestandesentwicklung von Kleegrasgemengen mittels Leaf Area Index (LAI) und multispektralen Drohnendaten.
Proceedings of the 43. GIL-Jahrestagung, 2023
Proceedings of the 43. GIL-Jahrestagung, 2023
2022
Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning.
Sensors, 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Auf dem Weg zu einem Entscheidungsunterstützungs-system zur Pflege und Ernte von Grünlandflächen.
Proceedings of the 42. GIL-Jahrestagung, 2022
Proceedings of the 42. GIL-Jahrestagung, 2022
2021
UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation.
Sensors, 2021
Sensors, 2021
Unterscheidung von Mais- und Beikrautpflanzen unter Anwendung von multispektralen UAV-Bilddaten zur teilflächenspezifischen Beikrautregulierung.
Proceedings of the 41. GIL-Jahrestagung, 2021
Erfassung von Bestandsheterogenität im Kleegras mithilfe von drohnengestützten RGB- und Multispektraldaten.
Proceedings of the 41. GIL-Jahrestagung, 2021
2019
Using distributed compressed sensing to derive continuous hyperspectral imaging from a wireless sensor network.
Comput. Electron. Agric., 2019
Processing and filtering of leaf area index time series assessed by in-situ wireless sensor networks.
Comput. Electron. Agric., 2019
2018
High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction.
Remote. Sens., 2018
2016
Cloud Removal in Image Time Series Through Sparse Reconstruction From Random Measurements.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations.
Remote. Sens., 2016
On the potential of Wireless Sensor Networks for the in-situ assessment of crop leaf area index.
Comput. Electron. Agric., 2016
Smart fLAIr: A smartphone application for fast LAI retrieval using Ambient Light Sensors.
Proceedings of the IEEE Sensors Applications Symposium, 2016
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016
2015
Remote. Sens., 2015
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015
2014
On the potential of Wireless Sensor Networks for the in-field assessment of bio-physical crop parameters.
Proceedings of the IEEE 39th Conference on Local Computer Networks, Edmonton, AB, Canada, 8-11 September, 2014, 2014
2011
IEEE Geosci. Remote. Sens. Lett., 2011