Publications

2025

• Site-specific mechanical weed management in maize (Zea mays) in North-West Germany
  Reuter, Tobias; Nahrstedt, Konstantin; Wittstruck, Lucas; Jarmer, Thomas; Broll, Gabriele; Trautz, Dieter
  
• Comparative analysis of UAV-based LiDAR and photogrammetric systems for the detection of terrain anomalies in a historical conflict landscape
  Storch, Marcel; Kisliuk, Benjamin; Jarmer, Thomas; Waske, Björn; Lange, Norbert
  

2024

• Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning-A Comparison between High-End and Low-Cost Multispectral Sensors
  Seiche, Anna Teresa; Wittstruck, Lucas; Jarmer, Thomas
  
• Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping—A Soybean Field Case Study
  Ubben, Niklas; Pukrop, Maren; Jarmer, Thomas
  
• Towards robust validation strategies for EO flood maps
  Landwehr, Tim; Dasgupta, Antara; Waske, Björn
  
• Individual tree detection and crown delineation in the Harz National Park from 2009 to 2022 using mask R–CNN and aerial imagery
  Lucas, Moritz; Pukrop, Maren; Beckschäfer, Philip; Waske, Björn
  
• Classifying Stand Compositions in Clover Grass Based on High-Resolution Multispectral UAV Images
  Nahrstedt, Konstantin; Reuter, Tobias; Trautz, Dieter; Waske, Björn; Jarmer, Thomas
  
• Farmland quality assessment using deep learning and UAVs
  Reese, Manuel; Dasgupta, Antara; Waske, Björn
  
• 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
  Wittstruck, Lucas; Jarmer, Thomas; Waske, Björn
  

2023

• A UAV-based rut depth detection - A potential for evaluating soil compaction on farmlands
  Ansah, Christabel Edena; Rettig, Robert; Storch, Marcel; Jarmer, Thomas
  
• Analyzing Gradual Vegetation Changes in the Athabasca Oil Sands Region Using Landsat Data
  Lucas, Moritz; Dasgupta, Antara; Waske, Bjoern
  
• Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines
  Storch, Marcel; de Lange, Norbert; Jarmer, Thomas; Waske, Bjorn
  
• Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery
  Poettker, Maren; Kiehl, Kathrin; Jarmer, Thomas; Trautz, Dieter
  
• Evaluating the Potential of Multispectral Sensor Networks based on Deployments in Wheat Fields
  Hänel, Thomas; Reese, Matthew O.; Pöttker, Maren; Jarmer, Thomas; Aschenbruck, Nils
  
• Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation
  Niemeyer, Mark; Renz, Marian; Pukrop, Maren; Hagemann, David; Zurheide, Tim; Di Marco, Daniel; Höferlin, Markus; Stark, Philipp; Rahe, Florian; Igelbrink, Matthias; Jenz, Mario; Jarmer, Thomas; Trautz, Dieter; Stiene, Stefan; Hertzberg, Joachim
  

2022

• Systematic Approach for Remote Sensing of Historical Conflict Landscapes with UAV-Based Laserscanning
  Storch, Marcel; Jarmer, Thomas; Adam, Mirjam; de Lange, Norbert
  
• Estimating LAI From Winter Wheat Using UAV Data and CNNs
  Wittstruck, Lucas; Jarmer, Thomas; Trautz, Dieter; Waske, Bjoern
  
• Mapping Lower Saxony's salt marshes using temporal metrics of multi-sensor satellite data
  Stückemann, K.-J.; Waske, B.
  

2021

• Learning a Transform Base for the Multi- to Hyperspectral Sensor Network with K-SVD
  Haenel, Thomas; Jarmer, Thomas; Aschenbruck, Nils
  
• UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation
  Wittstruck, Lucas; Kuehling, Insa; Trautz, Dieter; Kohlbrecher, Maik; Jarmer, Thomas
  
• Mapping regional surface water volume variation in reservoirs in northeastern Brazil during 2009-2017 using high-resolution satellite images
  Zhang, Shuping; Foerster, Saskia; Medeiros, Pedro; de Araujo, Jose Carlos; Duan, Zheng; Bronstert, Axel; Waske, Bjoern
  
• Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets
  Stojanović, Olivera; Siegmann, Bastian; Jarmer, Thomas; Pipa, Gordon; Leugering, Johannes
  

2020

• METHOD FOR TRANSFERRING NON-FOREST COVER TO FOREST COVER LAND USING LANDSAT IMAGERIES
  Karpov, A.; Waske, B.
  
• Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks
  Rosentreter, Johannes; Hagensieker, Ron; Waske, Bjoern
  
• Hierarchical classification with subsequent aggregation of heathland habitats using an intra-annual RapidEye time-series
  Fenske, Kristin; Feilhauer, Hannes; Foerster, Michael; Stellmes, Marion; Waske, Bjoern
  
• Multitemporal optical and radar metrics for wetland mapping at national level in Albania
  Muro, Javier; Varea, Ana; Strauch, Adrian; Guelmami, Anis; Fitoka, Eleni; Thonfeld, Frank; Diekkrueger, Bernd; Waske, Bjoern
  

2019

• Using distributed compressed sensing to derive continuous hyperspectral imaging from a wireless sensor network
  Haenel, Thomas; Jarmer, Thomas; Aschenbruck, Nils
  
• Mapping Chestnut Stands Using Bi-Temporal VHR Data
  Marchetti, Francesca; Waske, Bjoern; Arbelo, Manuel; Moreno-Ruiz, Jose A.; Alonso-Benito, Alfonso
  
• Mapping land cover change in northern Brazil with limited training data
  Crowson, Merry; Hagensieker, Ron; Waske, Bjoern
  
• Processing and filtering of leaf area index time series assessed by in-situ wireless sensor networks
  Bauer, Jan; Jarmer, Thomas; Schittenhelm, Siegfried; Siegmann, Bastian; Aschenbruck, Nils
  
• Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers
  Haburaj, Vincent; Krause, Jan; Pless, Sebastian; Waske, Bjoern; Schuett, Brigitta
  
• Multi-Source and Multi-Scale Platform for Quantitative Assessment of Shallow or/and Coastal Qater
  Brook, Anna; Reznikov, Ran; Kanning, Martin; Jarmer, Thomas
  

2018

• Spectral data source effect on crop state estimation by vegetation indices
  Polinova, Maria; Jarmer, Thomas; Brook, Anna
  
• High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction
  Kanning, Martin; Kuehling, Insa; Trautz, Dieter; Jarmer, Thomas
  

2016

• Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations
  Kanning, Martin; Siegmann, Bastian; Jarmer, Thomas
  
• On the potential of Wireless Sensor Networks for the in-situ assessment of crop leaf area index
  Bauer, Jan; Siegmann, Bastian; Jarmer, Thomas; Aschenbruck, Nils
  
• Relationships between soil spectral and chemical properties along a climatic gradient in the Judean desert
  Jarmer, Thomas; Shoshany, Maxim
  

2015

• Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data
  Siegmann, Bastian; Jarmer, Thomas
  
• Identification of Agricultural Crop Types in Northern Israel using Multitemporal RapidEye Data
  Beyer, Florian; Jarmer, Thomas; Siegmann, Bastian
  
• The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI
  Siegmann, Bastian; Jarmer, Thomas; Beyer, Florian; Ehlers, Manfred
  
• Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture
  Koenig, Kristina; Hoefle, Bernhard; Haemmerle, Martin; Jarmer, Thomas; Siegmann, Bastian; Lilienthal, Holger
  

2013

• Spectroscopy and hyperspectral imagery for monitoring summer barley
  Jarmer, Thomas
  

2012

• Night-Time Ground Hyperspectral Imaging for Urban-Scale Remote Sensing of Ambient PM. I. Aerosol Optical Thickness Acquisition
  Etzion, Yael; Jarmer, Thomas; Kolatt, Tsafrir; Shoshany, Maxim; Broday, David M.
  

2011

• Linking spatial patterns of soil organic carbon to topography - A case study from south-eastern Spain
  Schwanghart, Wolfgang; Jarmer, Thomas