Thomas Nauss
Thomas Nauss
Professor for Environmental Informatics, Marburg University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Arthropod decline in grasslands and forests is associated with landscape-level drivers
S Seibold, MM Gossner, NK Simons, N Blüthgen, J Müller, D Ambarlı, ...
Nature 574 (7780), 671-674, 2019
Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions
MK Peters, A Hemp, T Appelhans, JN Becker, C Behler, A Classen, ...
Nature 568 (7750), 88-92, 2019
Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level
MK Peters, A Hemp, T Appelhans, C Behler, A Classen, F Detsch, ...
Nature communications 7 (1), 1-11, 2016
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
H Meyer, C Reudenbach, T Hengl, M Katurji, T Nauss
Environmental Modelling & Software 101, 1-9, 2018
Quantifying and mapping ecosystem services supplies and demands: a review of remote sensing applications
YZ Ayanu, C Conrad, T Nauss, M Wegmann, T Koellner
Environmental science & technology 46 (16), 8529-8541, 2012
Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro, Tanzania
T Appelhans, E Mwangomo, DR Hardy, A Hemp, T Nauss
Spatial Statistics 14, 91-113, 2015
Improving the accuracy of rainfall rates from optical satellite sensors with machine learning—A random forests-based approach applied to MSG SEVIRI
M Kühnlein, T Appelhans, B Thies, T Nauss
Remote Sensing of Environment 141, 129-143, 2014
Importance of spatial predictor variable selection in machine learning applications–Moving from data reproduction to spatial prediction
H Meyer, C Reudenbach, S Wöllauer, T Nauss
Ecological Modelling 411, 108815, 2019
Multiple forest attributes underpin the supply of multiple ecosystem services
MR Felipe-Lucia, S Soliveres, C Penone, P Manning, F van der Plas, ...
Nature communications 9 (1), 1-11, 2018
Ground fog detection from space based on MODIS daytime data—A feasibility study
J Bendix, B Thies, J Cermak, T Nauß
Weather and Forecasting 20 (6), 989-1005, 2005
Climatic control of radial growth of Cedrela montana in a humid mountain rainforest in southern Ecuador
A Bräuning, F Volland-Voigt, I Burchardt, O Ganzhi, T Nauss, T Peters
Erdkunde, 337-345, 2009
Near surface air humidity in a megadiverse Andean mountain ecosystem of southern Ecuador and its regionalization
A Fries, R Rollenbeck, T Nauß, T Peters, J Bendix
Agricultural and Forest Meteorology 152, 17-30, 2012
Mapping daily air temperature for Antarctica based on MODIS LST
H Meyer, M Katurji, T Appelhans, MU Müller, T Nauss, P Roudier, ...
Remote Sensing 8 (9), 732, 2016
Seasonal and long-term vegetation dynamics from 1-km GIMMS-based NDVI time series at Mt. Kilimanjaro, Tanzania
F Detsch, I Otte, T Appelhans, A Hemp, T Nauss
Remote Sensing of Environment 178, 70-83, 2016
Discriminating raining from non-raining clouds at mid-latitudes using multispectral satellite data
T Nauss, AA Kokhanovsky
Atmospheric Chemistry and Physics 6 (12), 5031-5036, 2006
A feasibility study of daytime fog and low stratus detection with TERRA/AQUA-MODIS over land
J Bendix, B Thies, T Nauß, J Cermak
Meteorological Applications 13 (2), 111-125, 2006
Land‐cover classification in the Andes of southern Ecuador using Landsat ETM+ data as a basis for SVAT modelling
D Göttlicher, A Obregón, J Homeier, R Rollenbeck, T Nauss, J Bendix
International Journal of Remote Sensing 30 (8), 1867-1886, 2009
Middle Stone Age foragers resided in high elevations of the glaciated Bale Mountains, Ethiopia
G Ossendorf, AR Groos, T Bromm, MG Tekelemariam, B Glaser, J Lesur, ...
Science 365 (6453), 583-587, 2019
Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals
H Meyer, M Kühnlein, T Appelhans, T Nauss
Atmospheric research 169, 424-433, 2016
Thermal structure of a megadiverse Andean mountain ecosystem in southern Ecuador and its regionalization
A Fries, R Rollenbeck, D Göttlicher, T Nauss, J Homeier, T Peters, ...
Erdkunde, 321-335, 2009
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