Curriculum vitae

Projekte

• LOEWE-Schwerpunkt Natur 4.0 - Naturschutzmonitoring durch vernetzte Sensorik als Grundlage für einen nachhaltigen Artenschutz und die Sicherung von Ökosystemfunktionen
  Antragsstellerin und assoziiertes Mitglied des Teilporjektes “Fernerkundung und räumliche Vorhersage” (2019-2022)

• Antarctic Science Platform - Internationale Partnerin des neuseeländischen Projektes
  Antragsstellerin und assoziiertes Mitglied des Teilporjektes “Fernerkundung und räumliche Vorhersage” (2019-2025)

Publikationen

Internationale Publikationen (peer-reviewed)

2019

• Friess N, Bendix J, Brändle M, Brandl R, Dahlke S, Farwig N, Freisleben B, Holzmann H, Meyer H, Müller T, Opgenoorth L, Peter C, Quillfeldt P, Reudenbach C, Seeger B, Steinmetz R, Nauss T (2019) Introducing Nature 4.0: A sensor network for environmental monitoring in the Marburg Open Forest. Biodiversity Information Science and Standards 3: e36389 [doi:10.3897/biss.3.36389] Open Access
• 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(12): 1–23 [doi:10.18637/jss.v089.i12] Open Access
• 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]
• 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]

2018

• Higginbottom TP, Symeonakis E, Meyer H, van den 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]
• Meyer H, Reudenbach C, Hengl T, Katurij M, Nauss T (2018) Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation. Environmental Modelling & Software 101: 1–9 [doi:10.1016/j.envsoft.2017.12.001]
• Meyer N, Meyer H, Welp G, Amelung W (2018) Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy. Geoderma 323(1): 31–40 [doi:10.1016/j.geoderma.2018.02.031]
• 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 RJ, Yang YP, 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]

2017

• Messenzahl K, Meyer H, Otto JC, 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. Satellite-based high-resolution mapping of rainfall over southern Africa. Atmospheric Measurement Techniques 10(6): 2009–2019 [doi:10.5194/amt-10-2009-2017]
• 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(7): 647–656 [doi:10.1080/2150704X.2017.1312026]
• 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]

2016

• 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]
• 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(9): 732 [doi:10.3390/rs8090732] Open Access
• Meyer H, Kühnlein M, Appelhans T, Naus T (2016) Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals. Atmospheric Research 169(B): 424–433 [doi:10.1016/j.atmosres.2015.09.021]

2015

• Gasch C, Hengl T, Gräler B, Meyer H, Magney T, Brown DJ (2015) Spatio-temporal interpolation of soil moisture, temperature, and electrical conductivity in 3D+T: the Cook Farm data set. Spatial Statistics 14 (A): 70–90 [doi:10.1016/j.spasta.2015.04.001]
• 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]

2014

• Lehnert LW, 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. Ecological Indicators 39: 54–64 [doi:10.1016/j.ecolind.2013.12.005]
• 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(1): 1–33 [doi:10.1080/1747423X.2012.718378]

Book chapters

• 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: Beck E, Bräuning A, Makeschin F, Mosandl E, Scheu S, Wilcke W (eds.) Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador. Ecological Studies (Analysis and Synthesis) 221: 19–29 [doi:10.1007/978-3-643-38137-9_2]
• 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: Beck E, Bräuning A, Makeschin F, Mosandl E, Scheu S, Wilcke W (eds.) Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador. Ecological Studies (Analysis and Synthesis) 221: 205–217 [doi:10.1007/978-3-642-38137-9_15]
• Windhorst D, Silva B, Peters T, Meyer H, Thies B, Bendix J, Frede HG, Breuer L (2013) Impacts of local land use change on local climate and hydrology. In: Beck E, Bräuning A, Makeschin F, Mosandl E, Scheu S, Wilcke W (eds.) Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador. Ecological Studies (Analysis and Synthesis) 221: 275–286 [doi:10.1007/978-3-642-38137-9_20]

R packages

• Meyer H, Reudenbach C, Nauss T (2018) CAST: 'caret' Applications for Spatial-Temporal Models. R package version 0.3.1 [Link]
• Reudenbach C, Meyer H (2018) uavRst: Unmanned Aerial Vehicle Remote Sensing Tools. R package version 0.5-2 [Link]
• Lehnert LW, Meyer H, Bendix J (2016) hsdar: Manage, analyse and simulate hyperspectral data in R. R package version 1.0.0 [Link]
• Nauss T, Meyer H, Detsch F, Appelhans T (2015) Manipulating satellite data with satellite. R package version 1.0.1 [Link]

Konferenzbeiträge (Auswahl)

• Meyer H, Reudenbach C, Wöllauer S, Nauss T (2019) Importance of spatial variable selection for predictive environmental modelling. Poster, Spatial Statistics 2019: Towards Spatial Data Science. 10. – 13. Juli 2019, Sitges, Spanien.
• Lezama Valdes M, Katurji M, Meyer H (2019) Downscaling land surface temperature for the Antarctic Dry Valleys using multi-sensor data and machine learning. Poster, EGU General Assembly Conference 2019, 21. 7. – 12. April 2019, Wien, Österreich.
• Meyer H, Reudenbach C, Hengl T, Katurji M, Nauss T (2018) How to detect and avoid overfitting in spatio-temporal machine learning applications. Vortrag, EGU General Assembly Conference 2018, 20. 4. – 13. April 2018, Wien, Österreich.
• Meyer H, Katurji M, Roudier P, Zawar-Reza P (2018) A MODIS and Machine Learning Based Daily air Temperature Dataset for Antarctica. Vortrag, Polar 2018, Where the Poles Come Together. Open Science Conference. 19. – 23. Juni 2018, Davos, Schweiz.
• Meyer H, Lehnert LW, Wang Y, Reudenbach C, Nauss T, Bendix J (2016) Mapping vegetation cover and biomass on the Qinghai-Tibet-Plateau using hyperspectral measurements and multispectral satellite images. Poster, EGU General Assembly Conference 2016, 18. 17. – 22. April 2016, Wien, Österreich.
• Lehnert L, Meyer H, Bendix J (2015) Hyperspectral Data Analysis in R: The new hsdar-package. Poster, UseR!, 30. Juni – 03. Juli 2015, Aalborg, Dänemark.
• Gasch C, Hengl T, Gräler B, Meyer H, Magney T, Brown DJ (2015) Geostatistical modelling with 3D+T data: soil moisture, temperature, and electrical conductivity at the field scale. Poster, EGU General Assembly Conference 2015, 17. 12. – 17. April 2015, Wien, Österreich.
• Meyer H, Kühnlein M, Appelhans T, Nauß,T (2015) Comparison of machine learning algorithms for their applicability in satellite-based optical rainfall retrievals Atmospheric research. Poster, EGU General Assembly Conference 2015, 17. 12. – 17. April 2015, Wien, Österreich.