Michael E. Schaepman

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Jan CleversAssociate Professor in Remote Sensing, Wageningen University, the NetherlandsVerified email at wur.nl
Mathias KneubuehlerRemote Sensing Laboratories, University of Zurich, SwitzerlandVerified email at geo.uzh.ch
Daniel SchläpferReSe Applications LLCVerified email at rese-apps.com
Felix MorsdorfPD Dr., Remote Sensing Laboratories, University of ZürichVerified email at geo.uzh.ch
Rogier de JongSwiss Re InstituteVerified email at swissre.com
Zbyněk MalenovskýUniversity of BonnVerified email at uni-bonn.de
Raul Zurita-MillaUniversity of Twente. Faculty ITCVerified email at utwente.nl
Alexander DammAssociate Professor for Remote Sensing of Water Systems, University of ZurichVerified email at geo.uzh.ch
Fabian D SchneiderResearch Scientist, Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
Sytze de Bruinassociate professor geo-information science, Wageningen UniversityVerified email at wur.nl
Bernhard SchmidProfessor of Environmental Sciences, Zurich University and Peking UniversityVerified email at uzh.ch
Lammert KooistraProfessor in Remote Sensing, Wageningen UniversityVerified email at wur.nl
Jason BrazileAffiliated Scientist, Remote Sensing Labs - University of ZurichVerified email at geo.uzh.ch
Allard de WitAlterra, Wageningen-URVerified email at xs4all.nl
Jochem verrelstPost-doc researcher, Image Processing Laboratory (IPL), University of ValenciaVerified email at uv.es
gastellu-etchegorry jean-philippePaul Sabatier University (CESBIO), Toulouse, FranceVerified email at iut-tlse3.fr
Harm BartholomeusAssistant Professor Remote Sensing, Wageningen UniversityVerified email at wur.nl
Wouter VerhoefEm. Professor of radiative transfer and retrieval of surface properties, University of TwenteVerified email at utwente.nl
V.L. (Titia) MulderAssociate Professor, Wageningen University, The NetherlandsVerified email at wur.nl
Reinhard FurrerProfessor of Applied Statistics, University of ZurichVerified email at math.uzh.ch

Michael E. Schaepman

President and Professor of Remote Sensing, University of Zurich

Verified email at geo.uzh.ch - Homepage

Earth System Science Earth Observation Remote Sensing Imaging Spectroscopy


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FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data A Damm, L Guanter, VCE Laurent, ME Schaepman, A Schickling, ... Remote Sensing of Environment 147, 256-266, 2014	107	2014
Applicability of the PROSPECT model for Norway spruce needles Z Malenovský, J Albrechtová, Z Lhotáková, R Zurita‐Milla, J Clevers, ... International Journal of Remote Sensing 27 (24), 5315-5340, 2006	107	2006
Quantification of hidden canopy volume of airborne laser scanning data using a voxel traversal algorithm D Kükenbrink, FD Schneider, R Leiterer, ME Schaepman, F Morsdorf Remote Sensing of Environment 194, 424-436, 2017	106	2017
Representing major soil variability at regional scale by constrained Latin Hypercube Sampling of remote sensing data VL Mulder, S de Bruin, ME Schaepman International Journal of Applied Earth Observation and Geoinformation 21 …, 2013	106	2013
Spectrodirectional remote sensing: From pixels to processes ME Schaepman International Journal of Applied Earth Observation and Geoinformation 9 (2 …, 2007	104	2007
PARGE: Parametric geocoding based on GCP-calibrated auxiliary data D Schläpfer, ME Schaepman, KI Itten Imaging spectrometry IV 3438, 334-344, 1998	103	1998
Effect of environmental conditions on sun-induced fluorescence in a mixed forest and a cropland E Paul-Limoges, A Damm, A Hueni, F Liebisch, W Eugster, ... Remote Sensing of Environment 219, 310-323, 2018	102	2018
Impact of elevation and aspect on the spatial distribution of vegetation in the Qilian mountain area with remote sensing data XM Jin, YK Zhang, ME Schaepman, J Clevers, Z Su, J Cheng, J Jiang, ... International Society for Photogrammetry and Remote Sensing, 2008	99	2008
The assessment of multi-sensor image fusion using wavelet transforms for mapping the Brazilian Savanna FW Acerbi-Junior, J Clevers, ME Schaepman International Journal of Applied Earth Observation and Geoinformation 8 (4 …, 2006	98	2006
Terrestrial laser scanning for forest inventories—tree diameter distribution and scanner location impact on occlusion M Abegg, D Kükenbrink, J Zell, ME Schaepman, F Morsdorf Forests 8 (6), 184, 2017	95	2017
Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health monitoring network based on data science approaches A Lausch, E Borg, J Bumberger, P Dietrich, M Heurich, A Huth, A Jung, ... Remote sensing 10 (7), 1120, 2018	94	2018
Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image VCE Laurent, ME Schaepman, W Verhoef, J Weyermann, RO Chávez Remote Sensing of Environment 140, 318-329, 2014	94	2014
Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe P D'Odorico, A Gonsamo, B Pinty, N Gobron, N Coops, E Mendez, ... Remote Sensing of Environment 142, 141-154, 2014	92	2014
Quantitative mapping of global land degradation using Earth observations R de Jong, S de Bruin, M Schaepman, D Dent International Journal of Remote Sensing 32 (21), 6823-6853, 2011	92	2011
How to predict plant functional types using imaging spectroscopy: linking vegetation community traits, plant functional types and spectral response AK Schweiger, M Schütz, AC Risch, M Kneubühler, R Haller, ... Methods in Ecology and Evolution 8 (1), 86-95, 2017	89	2017
Leaf reflectance spectra capture the evolutionary history of seed plants JE Meireles, J Cavender‐Bares, PA Townsend, S Ustin, JA Gamon, ... New Phytologist 228 (2), 485-493, 2020	87	2020
SPECCHIO: a spectrum database for remote sensing applications S Bojinski, M Schaepman, D Schläpfer, K Itten Computers & Geosciences 29 (1), 27-38, 2003	86	2003
Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems–A review H Torabzadeh, F Morsdorf, ME Schaepman ISPRS journal of photogrammetry and remote sensing 97, 25-35, 2014	83	2014
A new hyperspectral index for chlorophyll estimation of a forest canopy: Area under curve normalised to maximal band depth between 650-725 nm Z Malenovsky, C Ufer, Z Lhotáková, JGPW Clevers, ME Schaepman, ... EARSeL eProceedings 5 (2), 161-172, 2006	79	2006
Determination of grassland use intensity based on multi-temporal remote sensing data and ecological indicators MG Giménez, R de Jong, R Della Peruta, A Keller, ME Schaepman Remote sensing of environment 198, 126-139, 2017	78	2017

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