Fabian Ewald Fassnacht

Research interests

Publications

• Remote sensing in forestry: current challenges, considerations and directions

  Forestry An International Journal of Forest Research · 2023 · https://doi.org/10.1093/forestry/cpad024

• Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery

  Remote Sensing in Ecology and Conservation · 2020 · https://doi.org/10.1002/rse2.146

• Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

  Scientific Reports · 2019 · https://doi.org/10.1038/s41598-019-53797-9

• UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data

  Remote Sensing of Environment · 2019 · https://doi.org/10.1016/j.rse.2019.03.025

• ISS observations offer insights into plant function

  Nature Ecology & Evolution · 2017 · https://doi.org/10.1038/s41559-017-0194

• Review of studies on tree species classification from remotely sensed data

  Remote Sensing of Environment · 2016 · https://doi.org/10.1016/j.rse.2016.08.013

• Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile

  Remote Sensing of Environment · 2015 · https://doi.org/10.1016/j.rse.2015.11.029

• Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass

  Remote Sensing of Environment · 2014 · https://doi.org/10.1016/j.rse.2014.07.028

• Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites

  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2014 · https://doi.org/10.1109/jstars.2014.2329390

• Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality

  Remote Sensing of Environment · 2013 · https://doi.org/10.1016/j.rse.2013.09.014

• A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales

  International Journal of Applied Earth Observation and Geoinformation · 2013 · https://doi.org/10.1016/j.jag.2013.05.017

Current projects

No projects listed.