Prof. Dr. Hanna Meyer

• 2023
• 2022
• 2021
• 2020
• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013

2023

• Ludwig, Marvin; Moreno-Martinez, Alvaro; Hölzel, Norbert; Pebesma, Edzer; Meyer, Hanna. 2023. ‘Assessing and improving the transferability of current global spatial prediction models.’ Global Ecology and Biogeography 00: 1–13. doi: https://doi.org/10.1111/geb.13635.

2022

• Mila C, Mateu J, Pebesma E, Meyer H. 2022. ‘Nearest neighbour distance matching leave-one-out cross-validation for map validation.’ Methods in Ecology and Evolution n/a. doi: 10.1111/2041-210X.13851.
• Meyer H, Pebesma E. 2022. ‘Machine learning-based global maps of ecological variables and the challenge of assessing them.’ Nature Communications 13. doi: 10.1038/s41467-022-29838-9.
• Ziegler A, Meyer H, Otte I, Peters MK, Appelhans T, Behler C, Böhning-Gaese K, Classen A, Detsch F, Deckert J, Eardley CD, Ferger SW, Fischer M, Gebert F, Haas M, Helbig-Bonitz M, Hemp A, Hemp C, Kakengi V, Mayr AV, Ngereza C, Reudenbach C, Röder J, Rutten G, Schellenberger Costa D, Schleuning M, Ssymank A, Steffan-Dewenter I, Tardanico J, Tschapka M, Vollstädt MGR, Wöllauer S, Zhang J, Brandl R, Nauss T. 2022. ‘Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro.’ Remote Sensing 14, No. 3: 786. doi: 10.3390/rs14030786.
• Ludwig M, Bahlmann J, Pebesma E, Meyer H. 2022. ‘Developing Transferable Spatial Prediction Models: a Case Study of Satellite Based Landcover Mapping.’ Contributed to the ISPRS, Nice. doi: 10.5194/isprs-archives-XLIII-B3-2022-135-2022.
• Kleinewillinghöfer, L; Olofsson, P; Pebesma, E; Meyer, H; Buck, O; Haub, C; Eiselt, B. 2022. ‘Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data.’ Remote Sensing 14, No. 19: 4903. doi: 10.3390/rs14194903.

2021

• Petermann E, Meyer H, Nussbaum M, Bossew P. 2021. ‘Mapping the geogenic radon potential for Germany by machine learning.’ Science of the Total Environment 754: 142291. doi: 10.1016/j.scitotenv.2020.142291.
• Meyer H, Pebesma E. 2021. ‘Predicting into unknown space? Estimating the area of applicability of spatial prediction models.’ Methods in Ecology and Evolution 12: 1620–1633. doi: 10.1111/2041-210X.13650.
• Meyer H, Pebesma E. 2021. ‘Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data.’ Contributed to the IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium. doi: 10.1109/IGARSS47720.2021.9553999.
• Lezama Valdes M; Katurji M; Meyer H. 2021. ‘A Machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data.’ Remote Sensing 13, No. 22. doi: 10.3390/rs13224673.

2020

• Schumacher B, Katurji M, Meyer H, Appelhans T, Otte I, Nauss T. 2020. ‘Atmospheric moisture pathways of East Africa and implications for water recycling at Mount Kilimanjaro.’ International Journal of Climatology 2020. doi: 10.1002/joc.6468.
• Hess B, Dreber N, Liu Y, Wiegand K, Ludwig M, Meyer H, Meyer KM. 2020. ‘PioLaG: a piosphere landscape generator for savanna rangeland modelling.’ Landscape Ecology 35, No. 9: 2061–2082. doi: 10.1007/s10980-020-01066-w.

2019

• Lehnert LW, Meyer H, Obermeier WA, Silva B, Regeling B, Bendix J. 2019. ‘Hyperspectral Data Analysis in R: The hsdar Package.’ Journal of Statistical Software 89, No. 12. doi: 10.18637/jss.v089.i12.
• Meyer H, Schmidt J, Detsch F, Nauss T. 2019. ‘Hourly gridded air temperatures of South Africa derived from MSG SEVIRI.’ International Journal of Applied Earth Observation and Geoinformation 78: 261 – 267. doi: 10.1016/j.jag.2019.02.006.
• Ludwig M, Morgenthal T, Detsch F, Higginbottom TP, Lezama Valdes M, Nauß T, Meyer H. 2019. ‘Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa.’ Remote Sensing of Environment 222: 195 – 203. doi: 10.1016/j.rse.2018.12.019.
• Meyer H, Reudenbach C, Wöllauer S, Nauss T. 2019. ‘Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction.’ Ecological Modelling 411: 108815. doi: 10.1016/j.ecolmodel.2019.108815.

2018

• Meyer N, Meyer H, Welp G, Amelung W. 2018. ‘Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy.’ Geoderma 323: 31 – 40. doi: 10.1016/j.geoderma.2018.02.031.
• Higginbottom TP, Symeonakis E, Meyer H, Linden S. 2018. ‘Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data.’ ISPRS Journal of Photogrammetry and Remote Sensing 139: 88 – 102. doi: 10.1016/j.isprsjprs.2018.02.010.
• Wang Y, Lehnert LW, Holzapfel M, Schultz R, Heberling G, Görzen E, Meyer H, Seeber E, Pinkert S, Ritz M, Fu Y, Ansorge H, Bendix J, Seifert B, Miehe G, Long R, Yang Y, Wesche K. 2018. ‘Multiple indicators yield diverging results on grazing degradation and climate controls across Tibetan pastures.’ Ecological Indicators 93: 1199 – 1208. doi: 10.1016/j.ecolind.2018.06.021.
• Meyer H, Reudenbach C, Hengl T, Katurji M, Nauss T. 2018. ‘Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation.’ Environmental Modelling and Software 101: 1 – 9. doi: 10.1016/j.envsoft.2017.12.001.
• Reudenbach C, Meyer H. 2018. uavRst: Unmanned Aerial Vehicle Remote Sensing Tools. R package version 0.5-2..
• Meyer H, Reudenbach C, Nauss T. 2018. CAST: 'caret' Applications for Spatial-Temporal Models. R package version 0.1.0..

2017

• Messenzehl K, Meyer H, Otto J, Hoffmann T, Dikau R. 2017. ‘Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps) — A multivariate modeling approach.’ Geomorphology 287: 29 – 45. doi: 10.1016/j.geomorph.2016.01.008.
• Meyer H, Drönner J, Nauss T. 2017. ‘Satellite-based high-resolution mapping of rainfall over southern Africa.’ Atmospheric Measurement Techniques 10, No. 6: 2009–2019. doi: 10.5194/amt-10-2009-2017.
• Meyer H, Lehnert LW, Wang Y, Reudenbach C, Nauss T, Bendix J. 2017. ‘From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: Do we need hyperspectral information?’ International Journal of Applied Earth Observation and Geoinformation 55: 21–31. doi: 10.1016/j.jag.2016.10.001.
• Meyer H, Kühnlein M, Reudenbach C, Nauss T. 2017. ‘Revealing the potential of spectral and textural predictor variables in a neural network-based rainfall retrieval technique.’ Remote Sensing Letters 8, No. 7: 647–656. doi: 10.1080/2150704X.2017.1312026.

2016

• Meyer H, Katurji M, Appelhans T, Müller MU, Nauss T, Roudier P, Zawar-Reza P. 2016. ‘Mapping Daily Air Temperature for Antarctica Based on MODIS LST.’ Remote Sensing 8, No. 9. doi: 10.3390/rs8090732.
• Meyer H, Kühnlein M, Appelhans T, Nauss T. 2016. ‘Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals.’ Atmos. Res. 169, Part B: 424–433. doi: 10.1016/j.atmosres.2015.09.021.
• Ludwig A, Meyer H, Nauss T. 2016. ‘Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa.’ International Journal of Applied Earth Observation and Geoinformation 50: 89–94. doi: 10.1016/j.jag.2016.03.003.
• Lehnert L.W, Meyer H, Bendix J. 2016. hsdar: Manage, analyse and simulate hyperspectral data in R. R package version 0.5.1..

2015

• Lehnert LW, Meyer H, Wang Y, Miehe G, Thies B, Reudenbach C, Bendix J. 2015. ‘Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach.’ Remote Sensing of Environment 164: 197–207. doi: 10.1016/j.rse.2015.04.020.
• Gasch CK, Hengl T, Gräler B, Meyer H, Magney TS, Brown DJ. 2015. ‘Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set.’ Spatial Statistics 14, Part A: 70–90.
• Nauss T, Meyer H, Detsch F, Appelhans T. 2015. Manipulating satellite data with satellite. R package version 1.0.0..

2014

• Thies B, Meyer H, Nauss T, Bendix J. 2014. ‘Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador.’ Journal of Land Use Science 9, No. 1: 1–33.
• Lehnert L, Meyer H, Meyer N, Reudenbach C, Bendix J. 2014. ‘A hyperspectral indicator system for rangeland degradation on the Tibetan Plateau: A case study towards spaceborne monitoring.’ Ecol. Indic. 39: 54–64. doi: 10.1016/j.ecolind.2013.12.005.

2013

• Windhorst D, Silva B, Peters T, Meyer H, Thies B, Bendix J, Frede H, Breuer L. 2013. ‘Impacts of local land-use change on climate and hydrology.’ In Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, edited by Bendix J, Beck E, Bräuning A, Makeschin F, Mosandl R, Scheu S, Wilcke W, 275–286. Spr. doi: 10.1007/978-3-642-38137-9_20.
• Roos K, Bendix J, Curatola G, Gawlik J, Gerique A, Hamer U, Hildebrandt P, Knoke T, Meyer H, Pohle P, Potthast K, Thies B, Tischer A, Beck E. 2013. ‘Current provisioning services: pasture development and use, weeds (bracken) and management.’ In Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, edited by Bendix J, Beck E, Bräuning A, Makeschin F, Mosandl R, Scheu S, Wilcke W, 205–218. Springer Verlag. doi: 10.1007/978-3-642-38137-9_15.
• Peters T, Drobnik T, Meyer H, Rankl M, Richter M, Rollenbeck R, Thies B, Bendix J. 2013. ‘Environmental changes affecting the Andes of Ecuador.’ In Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, edited by Bendix J, Beck E, Bräuning A, Makeschin F, Mosandl R, Scheu S, Wilcke W, 19–29. Springer Verlag. doi: 10.1007/978-3-642-38137-9_2.