Hanna Meyer
Hanna Meyer
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Zitiert von
Zitiert von
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
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
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
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
H Meyer, E Pebesma
Methods in Ecology and Evolution, 2021
Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach
LW Lehnert, H Meyer, Y Wang, G Miehe, B Thies, C Reudenbach, ...
Remote sensing of Environment 164, 197-207, 2015
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
Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D+ T: The Cook Agronomy Farm data set
CK Gasch, T Hengl, B Gräler, H Meyer, TS Magney, DJ Brown
Spatial Statistics 14, 70-90, 2015
Hyperspectral data analysis in R: The hsdar package
LW Lehnert, H Meyer, WA Obermeier, B Silva, B Regeling, J Bendix
arXiv preprint arXiv:1805.05090, 2018
A hyperspectral indicator system for rangeland degradation on the Tibetan Plateau: A case study towards spaceborne monitoring
LW Lehnert, H Meyer, N Meyer, C Reudenbach, J Bendix
Ecological Indicators 39, 54-64, 2014
Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps)—A multivariate modeling approach
K Messenzehl, H Meyer, JC Otto, T Hoffmann, R Dikau
Geomorphology 287, 29-45, 2017
Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador
B Thies, H Meyer, T Nauss, J Bendix
Journal of Land Use Science 9 (1), 1-33, 2014
Environmental changes affecting the Andes of Ecuador
T Peters, T Drobnik, H Meyer, M Rankl, M Richter, R Rollenbeck, B Thies, ...
Ecosystem services, biodiversity and environmental change in a tropical …, 2013
Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data
TP Higginbottom, E Symeonakis, H Meyer, S van der Linden
ISPRS Journal of Photogrammetry and Remote Sensing 139, 88-102, 2018
hsdar: Manage, analyse and simulate hyperspectral data in R
LW Lehnert, H Meyer, J Bendix
R Package Version 0.4 1, 2016
From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: do we need hyperspectral information?
H Meyer, LW Lehnert, Y Wang, C Reudenbach, T Nauss, J Bendix
International journal of applied earth observation and geoinformation 55, 21-31, 2017
Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa
M Ludwig, T Morgenthal, F Detsch, TP Higginbottom, ML Valdes, T Nauß, ...
Remote Sensing of Environment 222, 195-203, 2019
Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa
A Ludwig, H Meyer, T Nauss
International journal of applied earth observation and geoinformation 50, 89-94, 2016
CAST:’caret’Applications for Spatial-Temporal Models
H Meyer, C Reudenbach, M Ludwig, T Nauss
R package version 0.4 2, 2018
Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy
N Meyer, H Meyer, G Welp, W Amelung
Geoderma 323, 31-40, 2018
Mapping the geogenic radon potential for Germany by machine learning
E Petermann, H Meyer, M Nussbaum, P Bossew
Science of the Total Environment 754, 142291, 2021
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