Fabian Ewald Fassnacht

Orcid: 0000-0003-1284-9573

Affiliations:
  • Karlsruhe Institute of Technology, Institute of Geography and Geoecology, Germany


According to our database1, Fabian Ewald Fassnacht authored at least 23 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Combination of UAV Photogrammetry and Field Inventories Enables Description of Height-Diameter Relationship within Semi-Arid Silvopastoral Systems.
Remote. Sens., November, 2023

2022
Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code].
Dataset, August, 2021

Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird's eye (UAS) perspective.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2018
Application of a One-Class Classifier and a Linear Spectral Unmixing Method for Detecting Invasive Species in Central Chile.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Modis-Based Grassland Trends Within and Around the Kekexili Core Protection Zone of the Sanjiangyuan Nature Reserve.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Reconstructing the Vegetation Disturbance History of a Biodiversity Hotspot in Central Chile Using Landsat, Bfast and Landtrendr.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Adapting a Natura 2000 field guideline for a remote sensing-based assessment of heathland conservation status.
Int. J. Appl. Earth Obs. Geoinformation, 2017

Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016
Linking plant strategies (CSR) and remotely sensed plant traits.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015
Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure.
IEEE Geosci. Remote. Sens. Lett., 2015

Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Stratified aboveground forest biomass estimation by remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Corrigendum to "Mapping forest biomass from space - Fusion of hyperspectralEO1-hyperion data and Tandem-X and WorldView-2 canopy heightmodels" [Int. J. Appl. Earth Obs. Geoinfation 35 (2015) 359-367].
Int. J. Appl. Earth Obs. Geoinformation, 2015

Mapping forest biomass from space - Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data - where do the severely degraded areas occur?
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2012
An angular vegetation index for imaging spectroscopy data - Preliminary results on forest damage detection in the Bavarian National Park, Germany.
Int. J. Appl. Earth Obs. Geoinformation, 2012


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