Dr. Hannes Feilhauer



Organisationseinheit


Institut für Geographie
Professur für Geographie (Fernerkundung und GIS)


Preise / Auszeichnungen


2017 : Wissenschaftspreis für Physische Geographie


Publikationen (Download BibTeX)

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Hein, N., Pétillon, J., Pape, R., Feilhauer, H., Vanselow, K., & Löffler, J. (2019). Broad-scale rather than fine-scale environmental variation drives body size in a wandering predator (Araneae, Lycosidae). Arctic, Antarctic, and Alpine Research, 51(1), 315-326. https://dx.doi.org/10.1080/15230430.2019.1640039
Laamrani, A., Berg, A.A., Voroney, P., Feilhauer, H., Blackburn, L., March, M.,... Martin, R.C. (2019). Ensemble identification of spectral bands related to soil organic carbon levels over an agricultural field in southern Ontario, Canada. Remote Sensing, 11(11). https://dx.doi.org/10.3390/rs11111298
Jilge, M., Heiden, U., Neumann, C., & Feilhauer, H. (2019). Gradients in urban material composition: A new concept to map cities with spaceborne imaging spectroscopy data. Remote Sensing of Environment, 223, 179-193. https://dx.doi.org/10.1016/j.rse.2019.01.007
Unberath, I., Vanierschot, L., Somers, B., Van De Kerchove, R., Vanden Borre, J., Unberath, M., & Feilhauer, H. (2019). Remote sensing of coastal vegetation: Dealing with high species turnover by mapping multiple floristic gradients. Applied Vegetation Science. https://dx.doi.org/10.1111/avsc.12446
Ewald, M., Skowronek, S., Aerts, R., Dolos, K., Lenoir, J., Nicolas, M.,... Schmidtlein, S. (2018). Analyzing remotely sensed structural and chemical canopy traits of a forest invaded by Prunus serotina over multiple spatial scales. Biological Invasions, 8, 2257-2271.
Feilhauer, H., Schmid, T., Faude, U., Sanchez-Carillo, S., & Cirujano, S. (2018). 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, 88, 232-240.
Ewald, M., Aerts, R., Lenoir, J., Fassnacht, F., Nicolas, M., Skowronek, S.,... Schmidtlein, S. (2018). LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy. Remote Sensing of Environment, 211, 13-25.
Magiera, A., Feilhauer, H., Waldhardt, R., Wiesmair, M., & Otte, A. (2018). Mapping plant functional groups in subalpine grassland of the Greater Caucasus. Mountain Research and Development, 38, 63-72.
Rocchini, D., Luque, S., Pettorelli, N., Bastin, L., Doktor, D., Faedi, N.,... Nagendra, H. (2018). Measuring β-diversity by remote sensing: a challenge for biodiversity monitoring. Methods in Ecology and Evolution, 9, 1787-1798.
Rocchini, D., Bacaro, G., Chirici, G., Da Re, D., Feilhauer, H., Foody, G.M.,... Rugani, B. (2018). Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity studies. Ecological Indicators, 85, 983-990.

Zuletzt aktualisiert 2016-05-05 um 05:12