Sebastian Schmidtlein
Sebastian Schmidtlein
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Zitiert von
Zitiert von
Will remote sensing shape the next generation of species distribution models?
KS He, BA Bradley, AF Cord, D Rocchini, MN Tuanmu, S Schmidtlein, ...
Remote Sensing in Ecology and Conservation 1 (1), 4-18, 2015
Mapping of continuous floristic gradients in grasslands using hyperspectral imagery
S Schmidtlein, J Sassin
Remote Sensing of Environment 92 (1), 126-138, 2004
Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied?
D Rödder, S Schmidtlein, M Veith, S Lötters
PLoS one 4 (11), e7843, 2009
Global amphibian extinction risk assessment for the panzootic chytrid fungus
D Rödder, J Kielgast, J Bielby, S Schmidtlein, J Bosch, TWJ Garner, ...
Diversity 1 (1), 52-66, 2009
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
F Schiefer, T Kattenborn, A Frick, J Frey, P Schall, B Koch, S Schmidtlein
ISPRS Journal of Photogrammetry and Remote Sensing 170, 205-215, 2020
Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives
A Lausch, L Bannehr, M Beckmann, C Boehm, H Feilhauer, JM Hacker, ...
Ecological Indicators 70, 317-339, 2016
A comparative framework for broad‐scale plot‐based vegetation classification
M De Cáceres, M Chytrý, E Agrillo, F Attorre, Z Botta‐Dukát, J Capelo, ...
Applied Vegetation Science 18 (4), 543-560, 2015
Mapping plant strategy types using remote sensing
S Schmidtlein, H Feilhauer, H Bruelheide
Journal of Vegetation Science 23 (3), 395-405, 2012
Uncertainty in ecosystem mapping by remote sensing
D Rocchini, GM Foody, H Nagendra, C Ricotta, M Anand, KS He, V Amici, ...
Computers & Geosciences 50, 128-135, 2013
Brightness-normalized partial least squares regression for hyperspectral data
H Feilhauer, GP Asner, RE Martin, S Schmidtlein
Journal of Quantitative Spectroscopy and Radiative Transfer 111 (12-13 …, 2010
Mapping the floristic continuum: Ordination space position estimated from imaging spectroscopy
S Schmidtlein, P Zimmermann, R Schüpferling, C Weiß
Journal of Vegetation Science 18 (1), 131-140, 2007
Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring
D Rocchini, S Luque, N Pettorelli, L Bastin, D Doktor, N Faedi, ...
Methods in Ecology and Evolution 9 (8), 1787-1798, 2018
Assessing floristic composition with multispectral sensors—A comparison based on monotemporal and multiseasonal field spectra
H Feilhauer, F Thonfeld, U Faude, KS He, D Rocchini, S Schmidtlein
International Journal of Applied Earth Observation and Geoinformation 21 …, 2013
Imaging spectroscopy as a tool for mapping Ellenberg indicator values
S Schmidtlein
Journal of Applied ecology 42 (5), 966-974, 2005
The link between rapid enigmatic amphibian decline and the globally emerging chytrid fungus
S Lötters, J Kielgast, J Bielby, S Schmidtlein, J Bosch, M Veith, SF Walker, ...
EcoHealth 6, 358-372, 2009
A brute‐force approach to vegetation classification
S Schmidtlein, L Tichý, H Feilhauer, U Faude
Journal of Vegetation Science 21 (6), 1162-1171, 2010
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
T Kattenborn, J Eichel, S Wiser, L Burrows, FE Fassnacht, S Schmidtlein
Remote Sensing in Ecology and Conservation 6 (4), 472-486, 2020
Combining Isomap ordination and imaging spectroscopy to map continuous floristic gradients in a heterogeneous landscape
H Feilhauer, U Faude, S Schmidtlein
Remote Sensing of Environment 115 (10), 2513-2524, 2011
Mapping continuous fields of forest alpha and beta diversity
H Feilhauer, S Schmidtlein
Applied Vegetation Science 12 (4), 429-439, 2009
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
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