Fabian Ewald Fassnacht
Orcid: 0000-0003-1284-9573Affiliations:
- Karlsruhe Institute of Technology, Institute of Geography and Geoecology, Germany
According to our database1,
Fabian Ewald Fassnacht
authored at least 22 papers
between 2012 and 2023.
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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
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
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
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