An Iterative Search in End-Member Fraction Space for Spectral Unmixing. - Maxim Shoshany; Fadi Kizel; Nathan S. Netanyahu; Naftali Goldshlager; Thomas Jarmer 001; Gilad Even-Tzur (IEEE Geosci. Remote. Sens. Lett., 2011)

On the potential of Wireless Sensor Networks for the in-field assessment of bio-physical crop parameters. - Jan Bauer; Bastian Siegmann; Thomas Jarmer 001; Nils Aschenbruck (LCN Workshops, 2014)

Improved crop classification using multitemporal RapidEye data. - Florian Beyer 003; Thomas Jarmer 001; Bastian Siegmann; Peter Fischer 002 (MultiTemp, 2015)

The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI. - Bastian Siegmann; Thomas Jarmer 001; Florian Beyer 003; Manfred Ehlers (Remote. Sens., 2015)

Towards in-situ sensor network assisted remote sensing of crop parameters: poster. - Jan Bauer; Bastian Siegmann; Thomas Jarmer 001; Nils Aschenbruck (MobiHoc, 2016)

Smart fLAIr: A smartphone application for fast LAI retrieval using Ambient Light Sensors. - Jan Bauer; Bastian Siegmann; Thomas Jarmer 001; Nils Aschenbruck (SAS, 2016)

On the potential of Wireless Sensor Networks for the in-situ assessment of crop leaf area index. - Jan Bauer; Bastian Siegmann; Thomas Jarmer 001; Nils Aschenbruck (Comput. Electron. Agric., 2016)

Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations. - Martin Kanning; Bastian Siegmann; Thomas Jarmer 001 (Remote. Sens., 2016)

Cloud Removal in Image Time Series Through Sparse Reconstruction From Random Measurements. - Daniele Cerra; Jakub Bieniarz; Florian Beyer 003; Jiaojiao Tian; Rupert Müller; Thomas Jarmer 001; Peter Reinartz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction. - Martin Kanning; Insa Kühling; Dieter Trautz; Thomas Jarmer 001 (Remote. Sens., 2018)

Processing and filtering of leaf area index time series assessed by in-situ wireless sensor networks. - Jan Bauer; Thomas Jarmer 001; Siegfried Schittenhelm; Bastian Siegmann; Nils Aschenbruck (Comput. Electron. Agric., 2019)

Using distributed compressed sensing to derive continuous hyperspectral imaging from a wireless sensor network. - Thomas Hänel; Thomas Jarmer 001; Nils Aschenbruck (Comput. Electron. Agric., 2019)

Erfassung von Bestandsheterogenität im Kleegras mithilfe von drohnengestützten RGB- und Multispektraldaten. - Tobias Reuter; Konstantin Nahrstedt; Lucas Wittstruck; Thomas Jarmer 001; Insa Kühling; Dieter Trautz (GIL Jahrestagung, 2021)

Unterscheidung von Mais- und Beikrautpflanzen unter Anwendung von multispektralen UAV-Bilddaten zur teilflächenspezifischen Beikrautregulierung. - Lucas Wittstruck; Tobias Reuter; Konstantin Nahrstedt; Dieter Trautz; Insa Kühling; Thomas Jarmer 001 (GIL Jahrestagung, 2021)

Learning a Transform Base for the Multi- to Hyperspectral Sensor Network with K-SVD. - Thomas Hänel; Thomas Jarmer 001; Nils Aschenbruck (Sensors, 2021)

UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation. - Lucas Wittstruck; Insa Kühling; Dieter Trautz; Maik Kohlbrecher; Thomas Jarmer 001 (Sensors, 2021)

Ableitung von homogenen Managementzonen anhand von Vegetationsindizes im Kleegras. - Tobias Reuter; Konstantin Nahrstedt; Thomas Jarmer 001; Dieter Trautz (GIL Jahrestagung, 2022)

Auf dem Weg zu einem Entscheidungsunterstützungs-system zur Pflege und Ernte von Grünlandflächen. - Christoph Tieben; Tobias Reuter; Konstantin Nahrstedt; Franz Kraatz; Kai Lingemann; Dieter Trautz; Thomas Jarmer 001; Joachim Hertzberg (GIL Jahrestagung, 2022)

Estimating LAI From Winter Wheat Using UAV Data and CNNs. - Lucas Wittstruck; Thomas Jarmer 001; Dieter Trautz; Björn Waske (IEEE Geosci. Remote. Sens. Lett., 2022)

Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning. - Marcel Storch; Thomas Jarmer 001; Mirjam Adam; Norbert de Lange (Sensors, 2022)

Ökonomische Bewertung zum Spot-Spraying durch Drohnentechnik. - Tobias Jorissen; Silke Becker; Konstantin Nahrstedt; Maren Pöttker; Guido Recke; Thomas Jarmer 001 (GIL Jahrestagung, 2023)

Multilokale Modellierung der Bestandesentwicklung von Kleegrasgemengen mittels Leaf Area Index (LAI) und multispektralen Drohnendaten. - Konstantin Nahrstedt; Tobias Reuter; Maria Vergara Hernandez; Dieter Trautz; Thomas Jarmer 001 (GIL Jahrestagung, 2023)

Kartierung des Bedeckungsgrads von Cirsium arvense im Mais (Zea mays L.) mithilfe Neuronaler Netze in UAV-Daten. - Maren Pöttker; David Hagemann; Simon Pukop; Thomas Jarmer 001; Dieter Trautz (GIL Jahrestagung, 2023)

A coupled multitemporal UAV-based LiDAR and multispectral data approach to model dry biomass of maize. - Robert Rettig; Marcel Storch; Lucas Wittstruck; Christabel E. Ansah; Richard Janis Bald; David Richard; Dieter Trautz; Thomas Jarmer 001 (GIL Jahrestagung, 2023)

Evaluation of a decision support system for the recommendation of pasture harvest date and form. - Tobias Reuter; Juan Carlos Saborío-Morales; Christoph Tieben; Konstantin Nahrstedt; Franz Kraatz; Hendrik Meemken; Gerrit Hünker; Kai Lingemann; Gabriele Broll; Thomas Jarmer 001; Joachim Hertzberg; Dieter Trautz (GIL Jahrestagung, 2023)

Räumliche Erfassung des organischen Kohlenstoffgehaltes von Böden einer landwirtschaftlichen Intensivregion aus Sentinel-2-Daten. - Lucas Wittstruck; Heike Gerighausen; Annelie Säurich; Markus Möller; Knut Hartmann; Michael Steininger; Simone Zepp; Thomas Jarmer 001 (GIL Jahrestagung, 2023)

Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines. - Marcel Storch; Norbert de Lange; Thomas Jarmer 001; Björn Waske (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery. - Maren Pöttker; Kathrin Kiehl; Thomas Jarmer 001; Dieter Trautz (Remote. Sens., 2023)

Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation. - 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 001; et al. (Künstliche Intell., 2023)

Comparison of UAV- and mowing machine-mounted LiDAR for grassland canopy height estimation. - Justus Bracke; Marcel Storch; Janis Bald; Thomas Jarmer 001 (GIL, 2024)

Weed detection with YOLOv8-seg in UAV-imagery. - Maren Pukrop; Simon Pukrop; Thomas Jarmer 001 (GIL, 2024)

Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning - A Comparison between High-End and Low-Cost Multispectral Sensors. - Anna Teresa Seiche; Lucas Wittstruck; Thomas Jarmer 001 (Sensors, 2024)

Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping - A Soybean Field Case Study. - Niklas Ubben; Maren Pukrop; Thomas Jarmer 001 (Remote. Sens., 2024)

Classifying Stand Compositions in Clover Grass Based on High-Resolution Multispectral UAV Images. - Konstantin Nahrstedt; Tobias Reuter; Dieter Trautz; Björn Waske; Thomas Jarmer 001 (Remote. Sens., 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. - Lucas Wittstruck; Thomas Jarmer 001; Björn Waske (Remote. Sens., 2024)