Hanna Meyer

According to our database, Hanna Meyer authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity.

Maiken Baumberger, Bettina Haas, Walter Tewes, Benjamin Risse, Nele Meyer, Hanna Meyer

Environ. Model. Softw., 2025

2024

The CAST package for training and assessment of spatial prediction models in R.

Hanna Meyer, Marvin Ludwig, Carles Milà, Jan Linnenbrink, Fabian Schumacher

CoRR, 2024

2022

Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro.

Alice Ziegler, Hanna Meyer, Insa Otte, Marcell K. Peters, Tim Appelhans, Christina Behler, Katrin Böhning-Gaese, Alice Classen, Florian Detsch, Jürgen Deckert, Connal Eardley, Stefan W. Ferger, Markus Fischer, Friederike Gebert, Michael Haas, Maria Helbig-Bonitz, Andreas Hemp, Claudia Hemp, Victor Kakengi, Antonia V. Mayr, Christine Ngereza, Christoph Reudenbach, Juliane Röder, Gemma Rutten, David Schellenberger Costa, Matthias Schleuning, Axel Ssymank, Ingolf Steffan-Dewenter, Joseph Tardanico, Marco Tschapka, Maximilian G. R. Vollstädt, Stephan Wöllauer, Jie Zhang, Roland Brandl, Thomas Nauss

Remote. Sens., 2022

Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data.

Luca Kleinewillinghöfer, Pontus Olofsson, Edzer J. Pebesma, Hanna Meyer, Oliver Buck, Carsten Haub, Beatrice Eiselt

Remote. Sens., 2022

2021

A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data.

Lilian-Maite Lezama Valdes, Marwan Katurji, Hanna Meyer

Remote. Sens., 2021

Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data.

Hanna Meyer, Edzer J. Pebesma

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Predicting into unknown space? Estimating the area of applicability of spatial prediction models.

Hanna Meyer, Edzer J. Pebesma

CoRR, 2020

2019

Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction.

Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer, Thomas Nauss

CoRR, 2019

Hourly gridded air temperatures of South Africa derived from MSG SEVIRI.

Hanna Meyer, Johannes Schmidt, Florian Detsch, Thomas Nauss

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation.

Hanna Meyer, Christoph Reudenbach, Tomislav Hengl, Marwan Katurji, Thomas Nauss

Environ. Model. Softw., 2018

2017

From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: Do we need hyperspectral information?

Hanna Meyer, Lukas W. Lehnert, Yun Wang, Christoph Reudenbach, Thomas Nauss, Jörg Bendix

Int. J. Appl. Earth Obs. Geoinformation, 2017

2016

Mapping Daily Air Temperature for Antarctica Based on MODIS LST.

Hanna Meyer, Marwan Katurji, Tim Appelhans, Markus U. Müller, Thomas Nauss, Pierre Roudier, Peyman Zawar-Reza

Remote. Sens., 2016

Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa.

Annika Ludwig, Hanna Meyer, Thomas Nauss

Int. J. Appl. Earth Obs. Geoinformation, 2016