Fabian Ewald Fassnacht
Fabian Ewald Fassnacht
Verified email at kit.edu
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Cited by
Year
Review of studies on tree species classification from remotely sensed data
FE Fassnacht, H Latifi, K Stereńczak, A Modzelewska, M Lefsky, LT Waser, ...
Remote Sensing of Environment 186, 64-87, 2016
3252016
A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales
A Ghosh, FE Fassnacht, PK Joshi, B Koch
International Journal of Applied Earth Observation and Geoinformation 26, 49-63, 2014
2282014
Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
FE Fassnacht, F Hartig, H Latifi, C Berger, J Hernández, P Corvalán, ...
Remote Sensing of Environment 154, 102-114, 2014
1992014
Comparison of feature reduction algorithms for classifying tree species with hyperspectral data on three central European test sites
FE Fassnacht, C Neumann, M Förster, H Buddenbaum, A Ghosh, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
1392014
Forest structure modeling with combined airborne hyperspectral and LiDAR data
H Latifi, F Fassnacht, B Koch
Remote Sensing of Environment 121, 10-25, 2012
982012
Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality
FE Fassnacht, H Latifi, A Ghosh, PK Joshi, B Koch
Remote Sensing of Environment 140, 533-548, 2014
932014
ISS observations offer insights into plant function
EN Stavros, D Schimel, R Pavlick, S Serbin, A Swann, L Duncanson, ...
Nature Ecology & Evolution 1 (7), 1-5, 2017
822017
Comparing generalized linear models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile
J Lopatin, K Dolos, HJ Hernández, M Galleguillos, FE Fassnacht
Remote sensing of environment 173, 200-210, 2016
772016
Stratified aboveground forest biomass estimation by remote sensing data
H Latifi, FE Fassnacht, F Hartig, C Berger, J Hernández, P Corvalán, ...
International Journal of Applied Earth Observation and Geoinformation 38 …, 2015
622015
Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest
H Latifi, FE Fassnacht, J Müller, A Tharani, S Dech, M Heurich
International Journal of Applied Earth Observation and Geoinformation 42 …, 2015
582015
Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data—where do the severely degraded areas occur?
FE Fassnacht, L Li, A Fritz
International Journal of Applied Earth Observation and Geoinformation 42 …, 2015
542015
Mapping forest biomass from space–Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models
T Kattenborn, J Maack, F Faßnacht, F Enßle, J Ermert, B Koch
International Journal of Applied Earth Observation and Geoinformation 35 …, 2015
512015
Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices
FE Fassnacht, S Stenzel, AA Gitelson
Journal of Plant Physiology 176, 210-217, 2015
412015
Linking plant strategies and plant traits derived by radiative transfer modelling
T Kattenborn, FE Fassnacht, S Pierce, J Lopatin, JP Grime, S Schmidtlein
Journal of vegetation science 28 (4), 717-727, 2017
372017
Mapping plant species in mixed grassland communities using close range imaging spectroscopy
J Lopatin, FE Fassnacht, T Kattenborn, S Schmidtlein
Remote Sensing of Environment 201, 12-23, 2017
362017
Identification of high nature value grassland with remote sensing and minimal field data
S Stenzel, FE Fassnacht, B Mack, S Schmidtlein
Ecological indicators 74, 28-38, 2017
362017
Modeling forest biomass using Very-High-Resolution data—Combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images
J Maack, T Kattenborn, FE Fassnacht, F Enßle, J Hernández, P Corvalán, ...
European Journal of Remote Sensing 48 (1), 245-261, 2015
332015
An angular vegetation index for imaging spectroscopy data—Preliminary results on forest damage detection in the Bavarian National Park, Germany
FE Fassnacht, H Latifi, B Koch
International Journal of Applied Earth Observation and Geoinformation 19 …, 2012
332012
Land-use regime shift triggered the recent degradation of alpine pastures in Nyanpo Yutse of the eastern Qinghai-Tibetan Plateau
L Li, FE Fassnacht, I Storch, M Bürgi
Landscape Ecology 32 (11), 2187-2203, 2017
312017
Differentiating plant functional types using reflectance: which traits make the difference?
T Kattenborn, FE Fassnacht, S Schmidtlein
Remote Sensing in Ecology and Conservation 5 (1), 5-19, 2019
302019
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Articles 1–20