Publications (37)

• AngleCam: Predicting the Temporal Variation of Leaf Angle Distributions from Image Series with Deep Learning
• Citizen Science Plant Observations Encode Global Trait Patterns
• Spatially Autocorrelated Training and Validation Samples Inflate Performance Assessment of Convolutional Neural Networks
• Transfer Learning from Citizen Science Photographs Enables Plant Species Identification in UAV Imagery
• Explaining Sentinel 2-Based dNBR and RdNBR Variability with Reference Data from the Bird's Eye (UAS) Perspective
• Evaluating Different Methods for Retrieving Intraspecific Leaf Trait Variation from Hyperspectral Leaf Reflectance
• Review on Convolutional Neural Networks (CNN) in Vegetation Remote Sensing
• Convolutional Neural Networks Accurately Predict Cover Fractions of Plant Species and Communities in Unmanned Aerial Vehicle Imagery
• Detection of Xylella Fastidiosa Infection Symptoms with Airborne Multispectral and Thermal Imagery: Assessing Bandset Reduction Performance from Hyperspectral Analysis
• Mapping Forest Tree Species in High Resolution UAV-Based RGB-Imagery by Means of Convolutional Neural Networks
• The Retrieval of Plant Functional Traits from Canopy Spectra through RTM-Inversions and Statistical Models Are Both Critically Affected by Plant Phenology
• TRY Plant Trait Database - Enhanced Coverage and Open Access
• Unmanned Aerial Vehicle-Based Mapping of Turf-Banked Solifluction Lobe Movement and Its Relation to Material, Geomorphometric, Thermal and Vegetation Properties
• A Landsat-Based Vegetation Trend Product of the Tibetan Plateau for the Time-Period 1990-2018
• Radiative Transfer Modelling Reveals Why Canopy Reflectance Follows Function
• Advantages of Retrieving Pigment Content [$μ$g/Cm2] versus Concentration [%] from Canopy Reflectance
• UAV Data as Alternative to Field Sampling to Map Woody Invasive Species Based on Combined Sentinel-1 and Sentinel-2 Data
• Chlorophyll Content Estimation in an Open-Canopy Conifer Forest with Sentinel-2A and Hyperspectral Imagery in the Context of Forest Decline
• Differentiating Plant Functional Types Using Reflectance: Which Traits Make the Difference?
• Convolutional Neural Networks Enable Efficient, Accurate and Fine-Grained Segmentation of Plant Species and Communities from High-Resolution UAV Imagery
• How Canopy Shadow Affects Invasive Plant Species Classification in High Spatial Resolution Remote Sensing
• Proximal VIS-NIR Spectrometry to Retrieve Substance Concentrations in Surface Waters Using Partial Least Squares Modelling
• Using Aboveground Vegetation Attributes as Proxies for Mapping Peatland Belowground Carbon Stocks
• Previsual Symptoms of Xylella Fastidiosa Infection Revealed in Spectral Plant-Trait Alterations
• Pilot Study on the Retrieval of DBH and Diameter Distribution of Deciduous Forest Stands Using Cast Shadows in UAV-Based Orthomosaics
• Linking Plant Strategies and Plant Traits Derived by Radiative Transfer Modelling
• Detecting the Spread of Invasive Species in Central Chile with a Sentinel-2 Time-Series
• Estimating Stand Density, Biomass and Tree Species from Very High Resolution Stereo-Imagery-towards an All-in-One Sensor for Forestry Applications?
• Estimating Stand Density, Biomass and Tree Species from Very High Resolution Stereo-Imagery-towards an All-in-One Sensor for Forestry Applications?
• Building a Hybrid Land Cover Map with Crowdsourcing and Geographically Weighted Regression
• Mapping Forest Biomass from Space - Fusion of hyperspectralEO1-Hyperion Data and Tandem-X and WorldView-2 Canopy Heightmodels
• Modeling Forest Biomass Using Very-High-Resolution Data-Combining Textural, Spectral and Photogrammetric Predictors Derived from Spaceborne Stereo Images
• Automatic Single Palm Tree Detection in Plantations Using UAV-Based Photogrammetric Point Clouds
• Potential of Unmanned Aerial Vehicle Based Photogrammetric Point Clouds for Automatic Single Tree Detection
• Segmentation of Forest to Tree Objects
• Forest Change Assessment and Corresponding Driver Analysis in the Magdalena Department, Colombia (1985-2010)
• Uav-Based Photogrammetric Point Clouds - Tree Stem Mapping in Open Stands in Comparison to Terrestrial Laser Scanner Point Clouds