F. Fassnacht

发表

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

Birgit Kleinschmit, Michael Förster, Fabian Ewald Fassnacht, 2021, Int. J. Appl. Earth Obs. Geoinformation.

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

P. K. Joshi, B. Koch, F. Fassnacht, 2014 .

Mapping plant species in mixed grassland communities using close range imaging spectroscopy

S. Schmidtlein, F. Fassnacht, J. Lopatin, 2017 .

Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR

F. Hartig, F. Fassnacht, H. Latifi, 2018, Remote Sensing of Environment.

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

Florian Hartig, Fabian Ewald Fassnacht, Barbara Koch, 2014 .

Synergetic use of Sentinel‐1 and Sentinel‐2 for assessments of heathland conservation status

Michael Förster, Fabian Ewald Fassnacht, Sebastian Schmidtlein, 2018 .

Estimating stand density, biomass and tree species from very high resolution stereo-imagery- towards an all-in-one sensor for forestry applications?

Markus Immitzer, Fabian Ewald Fassnacht, Barbara Koch, 2017 .

Review of Forestry Oriented Multi-Angular Remote Sensing Techniques

B. Koch, F. Fassnacht, Barbara Koch, 2012 .

Invasive tree species detection in the Eastern Arc Mountains biodiversity hotspot using one class classification

P. Pellikka, J. Heiskanen, E. Maeda, 2018, Remote Sensing of Environment.

ISS observations offer insights into plant function

E. N. Stavros, S. Ustin, D. Schimel, 2017, Nature Ecology &Evolution.

Identification of high nature value grassland with remote sensing and minimal field data

S. Schmidtlein, F. Fassnacht, Stefanie Stenzel, 2017 .

Land-use regime shift triggered the recent degradation of alpine pastures in Nyanpo Yutse of the eastern Qinghai-Tibetan Plateau

F. Fassnacht, M. Bürgi, I. Storch, 2017, Landscape Ecology.

Non-destructive estimation of foliar carotenoid content of tree species using merged vegetation indices.

A. Gitelson, F. Fassnacht, Stefanie Stenzel, 2015, Journal of plant physiology.

Monitoring Andean high altitude wetlands in central Chile with seasonal optical data: A comparison between Worldview-2 and Sentinel-2 imagery

F. Fassnacht, J. Lopatin, H. J. Hernández, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Using multispectral landsat and sentinel-2 satellite data to investigate vegetation change at Mount St. Helens since the great volcanic eruption in 1980

F. Fassnacht, Katharina Teltscher, 2018, Journal of Mountain Science.

Linking plant strategies and plant traits derived by radiative transfer modelling

Fabian Ewald Fassnacht, Sebastian Schmidtlein, J. P. Grime, 2017 .

LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy

Ben Somers, Duccio Rocchini, Manuel Nicolas, 2018, Remote Sensing of Environment.

Hyperspectral classification of grassland species: towards a UAS application for semi-automatic field surveys

S. Schmidtlein, F. Fassnacht, J. Lopatin, 2017 .

Influence of plot and sample sizes on aboveground biomass estimations in plantation forests using very high resolution stereo satellite imagery

Fabian Ewald Fassnacht, Hooman Latifi, Hamed Naghavi, 2020 .

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

Klara Dolos, Fabian Ewald Fassnacht, Mauricio Galleguillos, 2016 .

Modeling forest biomass using Very-High-Resolution data—Combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images

Fabian Ewald Fassnacht, Barbara Koch, Jaime Hernández, 2015 .

Forest structure modeling with combined airborne hyperspectral and LiDAR data

Fabian Ewald Fassnacht, Barbara Koch, Hooman Latifi, 2012 .

Classifying surface fuel types based on forest stand photographs and satellite time series using deep learning

S. Schmidtlein, M. Ewald, F. Fassnacht, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Intra-annual Ips typographus outbreak monitoring using a multi-temporal GIS analysis based on hyperspectral and ALS data in the Białowieża Forests

F. Fassnacht, K. Stereńczak, Miłosz Mielcarek, 2019, Forest Ecology and Management.

A new concept for estimating the influence of vegetation on throughfall kinetic energy using aerial laser scanning

J. A. Senn, S. Schmidtlein, F. Fassnacht, 2020, Earth Surface Processes and Landforms.

Mapping degraded grassland on the Eastern Tibetan Plateau with multi-temporal Landsat 8 data - where do the severely degraded areas occur?

Li Li, Fabian Ewald Fassnacht, Andreas Fritz, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Review of studies on tree species classification from remotely sensed data

Michael A. Lefsky, Aniruddha Ghosh, Lars T. Waser, 2016 .

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]

Barbara Koch, Teja Kattenborn, Joachim Maack, 2014, Int. J. Appl. Earth Obs. Geoinformation.

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

Michael Förster, Fabian Ewald Fassnacht, Teja Kattenborn, 2019, Remote Sensing of Environment.

Adapting a Natura 2000 field guideline for a remote sensing-based assessment of heathland conservation status

Birgit Kleinschmit, Angela Lausch, Michael Förster, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Land-use regime shift triggered the recent degradation of alpine pastures in Nyanpo Yutse of the eastern Qinghai-Tibetan Plateau

F. Fassnacht, M. Bürgi, I. Storch, 2017, Landscape Ecology.

An angular vegetation index for imaging spectroscopy data - Preliminary results on forest damage detection in the Bavarian National Park, Germany

Fabian Ewald Fassnacht, Barbara Koch, Hooman Latifi, 2012, Int. J. Appl. Earth Obs. Geoinformation.

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

Aniruddha Ghosh, Fabian Ewald Fassnacht, Pawan Kumar Joshi, 2014, Int. J. Appl. Earth Obs. Geoinformation.

Linking plant strategies (CSR) and remotely sensed plant traits

Sebastian Schmidtlein, Teja Kattenborn, Fabian Faßnacht, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Assessing Restoration Potential of Fragmented and Degraded Fagaceae Forests in Meghalaya, North-East India

F. Fassnacht, J. Bauhus, D. Dey, 2020, Forests.

Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data

Fabian Ewald Fassnacht, Hooman Latifi, Elham Shafeian, 2021, Int. J. Appl. Earth Obs. Geoinformation.

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

Fabian Ewald Fassnacht, Teja Kattenborn, Jana Eichel, 2019, Scientific Reports.

Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data

Fabian Ewald Fassnacht, Krzysztof Stereńczak, Aneta Modzelewska, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Differentiating plant functional types using reflectance: which traits make the difference?

Fabian Ewald Fassnacht, Sebastian Schmidtlein, Teja Kattenborn, 2018, Remote Sensing in Ecology and Conservation.

Potential of TerraSAR-X and Sentinel 1 Imagery to Map Deforested Areas and Derive Degradation Status in Complex Rain Forests of Ecuador

F. Fassnacht, M. Peralvo, C. Schmitt, 2017, International Forestry Review.

Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest

Marco Heurich, Jörg Müller, Stefan W. Dech, 2015, Int. J. Appl. Earth Obs. Geoinformation.

About the link between biodiversity and spectral variation

S. Schmidtlein, M. Malavasi, F. Fassnacht, 2022, Applied Vegetation Science.

Estimation of aerial biomass using discrete-wave LiDAR data in combination with different vegetation indices in plantations of Pinus radiata (D. DON), Región del Maule, Chile.

F. Fassnacht, P. Vera, Diego Delgado, 2014 .

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

Sebastian Schmidtlein, Larry Burrows, Teja Kattenborn, 2020, Remote Sensing in Ecology and Conservation.

How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing

Klara Dolos, Teja Kattenborn, Javier Lopatin, 2019, Remote Sensing in Ecology and Conservation.

Mapping forest biomass from space - Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models

Barbara Koch, Teja Kattenborn, Joachim Maack, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Opaque voxel-based tree models for virtual laser scanning in forestry applications

Bernhard Höfle, Fabian Ewald Fassnacht, Katharina Anders, 2021 .

Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series

Birgit Kleinschmit, Michael Förster, Fabian Ewald Fassnacht, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

The spectral variability hypothesis does not hold across landscapes

Fabian Ewald Fassnacht, Sebastian Schmidtlein, S. Schmidtlein, 2017 .

Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure

Fabian Ewald Fassnacht, Mauricio Galleguillos, Jaime Hernández, 2015, IEEE Geoscience and Remote Sensing Letters.

Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types

Fabian Ewald Fassnacht, Mauricio Galleguillos, Javier Lopatin, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Stratified aboveground forest biomass estimation by remote sensing data

Florian Hartig, Fabian Ewald Fassnacht, Barbara Koch, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird's eye (UAS) perspective

Fabian Ewald Fassnacht, Jaime Hernández, Ephraim Schmidt-Riese, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Remote sensing in forestry: current challenges, considerations and directions

Joanne C. White, E. Næsset, M. Wulder, 2023, Forestry: An International Journal of Forest Research.

Reconstructing the Vegetation Disturbance History of a Biodiversity Hotspot in Central Chile Using Landsat, Bfast and Landtrendr

Fabian Ewald Fassnacht, Julian Cabezas, F. Fassnacht, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Consequences of land-use change and the wildfire disaster of 2017 for the central Chilean biodiversity hotspot

F. Fassnacht, A. Braun, M. Sepúlveda, 2021, Regional Environmental Change.

Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery

Stefan Dech, Fabian Ewald Fassnacht, Hooman Latifi, 2014 .

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

Henning Buddenbaum, Michael Förster, Carsten Neumann, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Using a landscape ecological perspective to analyze regime shifts in social–ecological systems: a case study on grassland degradation of the Tibetan Plateau

F. Fassnacht, M. Bürgi, Li Li, 2021, Landscape Ecology.

Multitemporal hyperspectral tree species classification in the Białowieża Forest World Heritage site

F. Fassnacht, K. Stereńczak, A. Kamińska, 2021 .

Carbon and oxygen dual-isotopes in tree rings indicate alternative physiological responses opted by European beech trees to survive drought stress

A. Matzarakis, F. Fassnacht, G. Helle, 2022, Scandinavian Journal of Forest Research.

Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations

S. Schmidtlein, F. Heinsch, M. Ewald, 2023, Remote Sensing of Environment.

Assessing the functional signature of heathland landscapes via hyperspectral remote sensing

Angela Lausch, Fabian Ewald Fassnacht, Sebastian Schmidtlein, 2017 .

Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator

S. Schmidtlein, F. Fassnacht, J. Schäfer, 2023, Forestry: An International Journal of Forest Research.

A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018

Xinquan Zhao, F. Fassnacht, T. Kattenborn, 2019, Scientific Data.

Application of a One-Class Classifier and a Linear Spectral Unmixing Method for Detecting Invasive Species in Central Chile

Michael Förster, Fabian Ewald Fassnacht, Tobias Schmidt, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests

B. Höfle, F. Fassnacht, J. Schäfer, 2022, Earth System Science Data.

Combination of UAV Photogrammetry and Field Inventories Enables Description of Height–Diameter Relationship within Semi-Arid Silvopastoral Systems

S. A. Fakhri, F. Fassnacht, Hooman Latifi, 2023, Remote Sensing.

PILOT STUDY ON THE RETRIEVAL OF DBH AND DIAMETER DISTRIBUTION OF DECIDUOUS FOREST STANDS USING CAST SHADOWS IN UAV-BASED ORTHOMOSAICS

G. Kattenborn, F. Fassnacht, T. Kattenborn, 2018, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Improving the application of UAV-LiDAR for erosion monitoring through accounting for uncertainty in DEM of difference

F. Fassnacht, Jinfei Hu, Hooman Latifi, 2022, CATENA.

Combining remote sensing, habitat suitability models and cellular automata to model the spread of the invasive shrub Ulex europaeus

Anne Clasen, M. Förster, Tobias Gränzig, 2023, Biological Invasions.

Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models

F. Fassnacht, J. Schäfer, G. Krok, 2023, Forestry: An International Journal of Forest Research.

Leaf litter combustion properties of Central European tree species

M. Ewald, F. Fassnacht, Elke Metzsch‐Zilligen, 2023, Forestry: An International Journal of Forest Research.