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2020 – today
- 2025
[j9]Maiken Baumberger
, Bettina Haas, Walter Tewes, Benjamin Risse, Nele Meyer, Hanna Meyer:
Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity. Environ. Model. Softw. 183: 106245 (2025)- 2024
- [i3]Hanna Meyer, Marvin Ludwig, Carles Milà, Jan Linnenbrink, Fabian Schumacher:
The CAST package for training and assessment of spatial prediction models in R. CoRR abs/2404.06978 (2024) - 2022
- [j8]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:
Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro. Remote. Sens. 14(3): 786 (2022) - [j7]Luca Kleinewillinghöfer, Pontus Olofsson, Edzer J. Pebesma, Hanna Meyer, Oliver Buck, Carsten Haub, Beatrice Eiselt:
Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data. Remote. Sens. 14(19): 4903 (2022) - 2021
- [j6]Lilian-Maite Lezama Valdes, Marwan Katurji, Hanna Meyer:
A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data. Remote. Sens. 13(22): 4673 (2021) - [c1]Hanna Meyer, Edzer J. Pebesma:
Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data. IGARSS 2021: 2028-2030 - 2020
- [i2]Hanna Meyer, Edzer J. Pebesma:
Predicting into unknown space? Estimating the area of applicability of spatial prediction models. CoRR abs/2005.07939 (2020)
2010 – 2019
- 2019
- [j5]Hanna Meyer, Johannes Schmidt, Florian Detsch, Thomas Nauss:
Hourly gridded air temperatures of South Africa derived from MSG SEVIRI. Int. J. Appl. Earth Obs. Geoinformation 78: 261-267 (2019) - [i1]Hanna Meyer, Christoph Reudenbach, Stephan Wöllauer, Thomas Nauss:
Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction. CoRR abs/1908.07805 (2019) - 2018
- [j4]Hanna Meyer, Christoph Reudenbach, Tomislav Hengl, Marwan Katurji, Thomas Nauss:
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation. Environ. Model. Softw. 101: 1-9 (2018) - 2017
- [j3]Hanna Meyer, Lukas W. Lehnert, Yun Wang, Christoph Reudenbach, Thomas Nauss, Jörg Bendix:
From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: Do we need hyperspectral information? Int. J. Appl. Earth Obs. Geoinformation 55: 21-31 (2017) - 2016
- [j2]Annika Ludwig, Hanna Meyer, Thomas Nauss:
Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa. Int. J. Appl. Earth Obs. Geoinformation 50: 89-94 (2016) - [j1]Hanna Meyer, Marwan Katurji, Tim Appelhans, Markus U. Müller, Thomas Nauss, Pierre Roudier, Peyman Zawar-Reza:
Mapping Daily Air Temperature for Antarctica Based on MODIS LST. Remote. Sens. 8(9): 732 (2016)
Coauthor Index
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