Hannes Feilhauer | Hannes Feilhauer – Institut für Geographie

Madrid Madrid
Hannes Feilhauer

Dr. Hannes Feilhauer

, ,

Wetterkreuz 15
91058 Erlangen
Germany

Room: 2.121


ed.ua1516794166f@reu1516794166ahlie1516794166f.sen1516794166nah1516794166
Phone: +49 (0)9131 8526680
Fax: +49 (0)9131 8522013

Office hours: on appointment
Office hours (term break): on appointment

Research areas: , ,

Research interests: Ecology, Modelling, Remote sensing, Vegetation science



Curriculum Vitae | Publications | Research | Teaching | More

Curriculum Vitae

2017 Science award for physical geography of the Prof. Dr. Frithjof Voss Stiftung für Geographie

2015 Teaching award of the students’ council

2014 Visiting researcher at the Carnegie Department of Global Ecology (Asner Lab), Carnegie Institution for Science, Stanford, CA

2013 Editor’s Award of Computers and Geosciences for the paper ‘Uncertainty in ecosystem mapping by remote sensing’

2012 Editor’s Award of the Journal of Vegetation Science for the paper ‘Mapping plant strategy types using remote sensing’

since 2012 Senior researcher (GIS and Remote Sensing) at the Department of Geography, FAU Erlangen-Nuremberg

2011 Poster Award of the International Association for Vegetation Science

2011 Visiting researcher at the Geophysical Institute, University of Alaska, Fairbanks, AK

2011 Postdoc in the project MSAVE, based at the Department of Geography and the Center for Remote Sensing of Land Surfaces of the University of Bonn, Germany

2010-2011 Executive of the Center for Remote Sensing of Land Surfaces of the University of Bonn, Germany

2011 Doctorate, University of Bonn, Germany

2006-2011 PhD student, University of Bonn, Germany

2009 Visiting researcher at the Carnegie Department of Global Ecology (Asner Lab), Carnegie Institution for Science, Stanford, CA

2006 Diploma in Geoecology, University of Bayreuth, Germany

2000-2006 Studies in Geoecology, University of Bayreuth, Germany

Editor

Applied Vegetation Science

Reviewer activities

Biology Letters, Climate Research, Ecological Complexity, Ecological Modelling, Erdkunde, IEEE JSTARS, IEEE TGRS, International Journal of Remote Sensing, Journal of Applied Geography, Journal of Maps, Journal of Tropical Ecology, Journal of Vegetation Science, NATURE Plants, Natur und Landschaft, PLOS One, Progress in Physical Geography, Remote Sensing, Remote Sensing in Ecology and Conservation, Remote Sensing of Environment, Trees – Structure and Function, Turkish Journal of Agriculture and Forestry

Publications

Peer-reviewed journal articles

2018

  • Feilhauer H, Schmid T, Faude U, Sánchez-Carillo S, Cirujano S (accepted). Are remotely-sensed traits suitable for ecological analysis? A case study of long-term drought effects on Leaf Mass per Area of wetland vegetation. Ecological Indicators.
  • Rocchini D, Luque S, Pettorelli N, Bastin L, Doktor D, Faedi N, Feilhauer H, Féret JB, Foody GM, Gavish Y, Godinho S, Kunin WE, Lausch A, Leitão PJ, Marcantonio M, Neteler M, Ricotta C, Schmidtlein S, Vihervaara P, Wegmann M, Nagendra H (accepted). Measuring β-diversity by remote sensing: a challenge for biodiversity monitoring. Methods in Ecology and Evolution.
  • Rocchini D, Bacaro G, Chirici G, Da Re D, Feilhauer H, Foody GM, Galluzzi M, Garzon-Lopez CX, Gillespie TW, He KS, Lenoir J, Marcantonio M, Nagendra H, Ricotta C, Rommel E, Schmidtlein S, Skidmore AK, Van De Kerchove R, Wegmann M, Rugani B (2018). Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity studies. Ecological Indicators 85, 983-990.

2017

  • Sierra CA, Mahecha M, Poveda G, Álvarez-Dávila E, Gutierrez V, Reu B, Feilhauer H, Anáya J, Armenteras D, Benavides AM, Buendia C, Duque A, Estupiñan LM, González C, González S, Jimenez R, Kraemer G, Londoño MC, Orrego SA, Polanía J, Posada JM, Ruíz D, Skowronek S (2017). Monitoring ecological change during rapid socio-economic and political transitions: Colombian ecosystems in the post-conflict era. Environmental Science and Policy 76, 40-49.
  • Hattab T, Garzón-López CX, Ewald M, Skowronek S, Aerts R, Horen H, Brasseur B, Gallet-Moron E, Spicher F, Decocq G, Feilhauer H, Honnay O, Kempeneers P, Schmidtlein S, Somers B, Van De Kerchove R, Rocchini D, Lenoir J (2017). A unified framework to model the potential and realized distributions of invasive species within the invaded range. Diversity and Distributions 23, 806-819.
  • Magiera A, Feilhauer H, Waldhardt R, Wiesmair M, Otte A (2017). Modelling biomass of mountainous grasslands by including a species composition map. Ecological Indicators 78, 8-18.
  • Aerts R, Ewald M, Nicolas M, Piat J, Skowronek S, Lenoir J, Hattab T, Garzón-López CX, Feilhauer H, Schmidtlein S, Rocchini D, Decocq G, Somers B, Van De Kerchove R, Denef K, Honnay O (2017). Invasion by the alien tree Prunus serotina alters ecosystem functions in a temperate deciduous forest. Frontiers in Plant Science 8, 179.
  • Skowronek S, Asner GP, Feilhauer H (in press). Performance of one-class classifiers for invasive species mapping using airborne imaging spectroscopy. Ecological Informatics 37, 66-76.
  • Skowronek S, Ewald M, Isermann M, Van de Kerchove R, Lenoir J, Aerts R, Warrie J, Hattab T, Honnay O, Schmidtlein S, Rocchini D, Somers B, Feilhauer H (2017). Mapping an invasive bryophyte species using hyperspectral remote sensing data. Biological Invasions 19, 239-254.
  • Feilhauer H, Somers B, van der Linden S (2017). Optical trait indicators for remote sensing of plant species composition: predictive power and seasonal variability. Ecological Indicators 73, 825-833.

2016

  • Mack B, Roscher R, Stenzel S, Feilhauer H, Schmidtlein S, Waske B (2016). Mapping raised bogs with an iterative one-class classification approach. ISPRS Journal of Photogrammetry and Remote Sensing 120, 53-64.
  • Feilhauer H, Doktor D, Schmidtlein S, Skidmore AK (2016). Mapping pollination types with remote sensing. Journal of Vegetation Science 27, 999-1011.
  • Lausch A, Bannehr L, Beckmann M, Boehm C, Feilhauer H, Hacker JM, Heurich M, Jung A, Klenke R, Neumann C, Pause M, Rocchini D, Schaepman ME, Schmidtlein S, Schulz K, Selsam P, Settele J, Skidmore AK, Cord AF (2016). Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives. Ecological Indicators 70, 317-339.
  • Magiera A, Feilhauer H, Tephnadze N, Waldhardt R, Otte A (2016). Separating reflectance signatures of shrub species – A case study in the Central Greater Caucasus. Applied Vegetation Science 19, 304-315.
  • Wiesmair M, Feilhauer H, Magiera A, Waldhardt R, Otte A (2016) Estimating vegetation cover from high resolution NDVI-data to assess grassland degradation in the Georgian Greater Caucasus. Journal of Mountain Science 36, 56-65.
  • Thonfeld F, Feilhauer H, Braun M, Menz G (2016). Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data. International Journal of Applied Earth Observation and Geoinformation 50, 131-140.

2015

  • Magiera A, Feilhauer H, Tephnadze N, Waldhardt R, Otte A (in press). Separating reflectance signatures of shrub species – A case study in the Central Greater Caucasus. Applied Vegetation Science. 
  • Hein N, Feilhauer H, Löffler J, Finch OD (2015). Elevational variation in reproductive traits in five Pardosa (Lycosidae) species. Arctic, Antarctic, and Alpine Research 47, 67-73.
  • Feilhauer H, Asner GP, Martin RE (2015). Multi-method ensemble selection of spectral bands related to leaf biochemistry. Remote Sensing of Environment 164, 57-65.

2014

  • Feilhauer H, Dahlke C, Doktor D, Lausch A, Schmidtlein S, Schulz G, Stenzel S (2014). Mapping the local variability of Natura 2000 habitats with remote sensing. Applied Vegetation Science 17, 765-779.
  • Hein N, Feilhauer H, Finch OD, Schmidtlein S, Löffler J (2014). Snow-cover determines the ecology and biogeography of spiders (Araneae) in alpine tundra ecosystems. Erdkunde 68, 157-172.
  • Stenzel S, Feilhauer H, Mack B, Metz A, Schmidtlein S (2014). Remote sensing of scattered Natura 2000 habitats using a one-class classifier. International Journal of Applied Earth Observation and Geoinformation 33, 211-217.
  • Brüser K, Feilhauer H, Schellberg J, Linstädter A, Oomen RJ, Ruppert JC, Ewert F (2014). Discrimination and characterization of management systems in semi-arid rangelands of South Africa using RapidEye time series. International Journal of Remote Sensing 35, 1653-1673.

2013

  • Schmidtlein S, Faude U, Rössler O, Feilhauer H, Ewald J, Meyn A, Schmidt J (2013). Differences between recent and historical records of upper species limits in the northern European Alps. Erdkunde 67, 345-354.
  • Muenchow J, Feilhauer H, Bräuning A, Rodríguez EF, Bayer F, Rodríguez RA, von Wehrden H (2013). Coupling ordination techniques and GAM to spatially predict vegetation assemblages along a climatic gradient in an ENSO-affected region of extremely high climate variability. Journal of Vegetation Science 24, 1154-1166.
  • Rocchini D, Delucchi L, Bacaro G, Cavallini P, Feilhauer H, Foody GM, He KS, Nagendra H, Porta C, Ricotta C, Schmidtlein S, Spano LD, Wegmann M, Neteler M (2013). Calculating landscape diversity with information-theory based indices – a GRASS GIS approach. Ecological Informatics 17, 82-93.
  • Magiera A, Feilhauer H, Otte A, Waldhardt R, Simmering D (2013). Relating canopy reflectance to the vegetation composition of mountainous grasslands in the Greater Caucasus. Agriculture, Ecosystems and Environment 177, 101-112.
  • Feilhauer H, Thonfeld F, Faude U, He KS, Rocchini D, Schmidtlein S (2013). Assessing floristic composition with multispectral sensors – a comparison based on monotemporal and multiseasonal field spectra. International Journal of Applied Earth Observation and Geoinformation 21, 218-229.
  • Rocchini D, Foody GM, Nagendra H, Ricotta C, Anand M, He KS, Amici V, Kleinschmit B, Förster M, Schmidtlein S, Feilhauer H, Ghisla A, Metz M, Neteler M (2013). Uncertainty in ecosystem mapping by remote sensing. Computers and Geosciences 50, 128-135.

2012

  • Feilhauer H, He KS, Rocchini D (2012). Modeling species distribution using niche-based proxies derived from composite bioclimatic variables and MODIS NDVI. Remote Sensing 4, 2057-2075.
  • Schmidtlein S, Feilhauer H, Bruelheide H (2012). Mapping plant strategy types using remote sensing. Journal of Vegetation Science 23, 395-405.

2011

  • Feilhauer H, Faude U, Schmidtlein S (2011). Combining Isomap ordination and imaging spectroscopy to map continuous floristic gradients in a heterogeneous landscape. Remote Sensing of Environment 115, 2513-2524.
  • Feilhauer H, Schmidtlein S (2011). On variable relations between vegetation patterns and canopy reflectance. Ecological Informatics 6, 83-92.

2010

  • Schmidtlein S, Tichý L, Feilhauer H, Faude U (2010). A brute force approach to vegetation classification. Journal of Vegetation Science 21, 1162-1171.
  • Faude U, Feilhauer H, Schmidtlein S (2010). Estimating consequences of land use for conservation management in developing tropical regions. Erdkunde 64, 47-56.
  • Feilhauer H, Asner GP, Martin RE, Schmidtlein S (2010). Brightness-normalized partial least squares regression for hyperspectral data. Journal of Quantitative Spectroscopy and Radiative Transfer 111, 1947-1957.
  • Feilhauer H, Oerke EC, Schmidtlein S (2010). Quantifying empirical relations between planted species mixtures and canopy reflectance with PROTEST. Remote Sensing of Environment 114, 1513-1521.

2009 and earlier

  • Feilhauer H, Schmidtlein S (2009). Mapping continuous fields of forest alpha and beta diversity. Applied Vegetation Science 12, 429-439.
  • Pätzold S, Mertens FM, Bornemann L, Koleczek B, Franke J, Feilhauer H, Welp G (2008). Soil heterogeneity at the field scale: a challenge for precision crop protection. Precision Agriculture 9, 367-390.

 

Book chapters and contributions to conference proceedings

  • Schmidtlein S, Faude U, Stenzel S, Feilhauer H (2014). Remote sensing of vegetation for nature conservation. In: Manakos I, Braun M (Hrsg.). Land use and land cover mapping in Europe. Practices and trends. Springer, 203-216.
  • Feilhauer H, Thonfeld, F, Faude U, He KS, Rocchini D, Schmidtlein S (2012). Important characteristics of multispectral data for an assessment of floristic variation. Proceedings of the Geoscience and Remote Sensing Symposium (IGARSS), 36-39.
  • Feilhauer H, Schmidtlein S (2012). Mapping plant strategy types and derivatives with imaging spectroscopy. Proceedings of the Geoscience and Remote Sensing Symposium (IGARSS), 6356-6359.
  • Feilhauer H, Stenzel S, Kübert C, Metz AK, Conrad C, Ehlers M, Esch T, Klein D, Oldenburg C, Reinartz P, Schmidtlein S (2012). RapidEye im Projekt MSAVE – Multisaisonale Fernerkundung für das Vegetationsmonitoring. In: Borg E, Daedelow H, Johnson R (Hrsg.): RapidEye Science Archive (RESA) ‘Vom Algorithmus zum Produkt’. 4. RESA Workshop, Neustrelitz, pp 153-164.
  • Faude U, Feilhauer H, Heuner M, Bauer EM, Schröder U, Kleinschmit B, Schiewe J, Schmidtlein S (2011). Multiseasonal mapping of tidal floodplains at the Elbe estuary. Verhandlungen der Gesellschaft für Ökologie 41, p 304.
  • Schmid T, Rodríguez M, Feilhauer H, Faude U, Ruiz A, Cuevas J (2011). Combining soil-vegetation relationships with imaging spectroscopy as a tool for soil characterization within a semiarid wetwland. Proceedings of the 7th EARSeL SIG-Imaging Spectroscopy workshop. Edinburgh, 11-13 April 2011.
  • Feilhauer H, Faude U, Schmidtlein S (2011). Remote sensing of ecotones in a heterogeneous landscape. Verhandlungen der Gesellschaft für Ökologie 41, p 303.
  • Feilhauer H, Faude U, Schmidtlein S (2011). Combining ordination and remote sensing techniques to map ecotones in a heterogeneous landscape. Abstracts of the 54th Symposium of the International Association for Vegetation Science, Lyon, France, p 39.
  • Feilhauer H, Faude U, Schmidtlein S (2010). Beyond classification? Mapping floristic patterns of ecotones in a heterogeneous landscape. Abstracts of the 7th International Conference on Ecological Informatics, Ghent, Belgium, p 95.
  • Schmid T, Feilhauer H, Faude U, Cirujano S, Sanchez R, Sierra MJ, Rodriguez M, Sanchez S (2010). Application of imaging spectroscopy to map indicator plant species for wetland degradation in the National Park of Las Tablas de Daimiel, Spain. Third Recent Advances in Quantitative Remote Sensing, pp 181-186.
  • Feilhauer H, Schmidtlein S (2009). Are plant states considered adequately in remote sensing of plant species composition? Bayreuther Forum Ökologie 115, p 126.
  • Feilhauer H, Schmidtlein S (2005). Empirical modeling of tree species composition and diversity. Verhandlungen der Gesellschaft für Ökologie 35, p 495.

Research

Research projects

  • CaTReS – Canopy Traits in Remote Sensing of floristic and functional vegetation patterns
  • DIARS – Detection of Invasive plant species and Assessment of their impact on ecosystem properties trough Remote Sensing
  • INPLANT – Plant Optical Types to Predict Ecosystem Impacts of Plant Invasions

Teaching

See UnivIS for my teaching activities.

More

R Scripts from Feilhauer et al. (2013): simulatoR – R functions for the simulation of multispectral data based on hyperspectral data with documentation and tutorial.

R Scripts and test data for the brightness normalized PLSR from Feilhauer et al. (2010) are now implemented in the R package autopls. The original files can be requested by email.