Carina Becker

Address:

Contact:
+49(0)3501-542-426
carina.beckerspam prevention@smul.sachsen.de

Consulting hours:
By arrangement

Function: Doctoral student

ResearchGate: Visit ResearchGate

Research Topics:

  • Digital Soil Mapping
  • Soil properties of the organic layer
  • Data Mining
  • Big Data Analysis
  • Predictive Modelling
  • Machine Learning
  • Statistics

PhD Project:

  • Spatial prediction of characteristics of the organic layer

CV:

*15.07.1984

Work Experience:

Since 04/2018

Research consultant at Public Enterprise Sachsenforst, Unit site survey/soil monitoring/laboratory, Pirna: Spatial prediction of characteristics of the organic layer

07/2017 - 08/2018

Helmholtz-Centre for Environmental Research - UFZ: Quantification of pesticide effects on species abundance in mesocosms and parametrization of mesocosm community model using R and Python

02/2017 - 06/2017

Saxon State Agency of Environment, Agriculture and Geology, Freiberg: restructuring of the Saxon Natura 2000 database model using R and Oracle SQL, methodical development of an extension and standardization of measures for FFH natural resources within the framework of the technical information system for conservation

Education:

Since 11/2018 external PhD student at the Eberhard Karls University, Tübingen
10/2006 - 06/2016 Technische Universität Dresden (TU Dresden), Diplom in Geography with minor subjects Meteorology and Geology.
Diplom thesis: Climate variability of the Tharandt forest taking account of the land use

Publications

2021

Thomas, F., Petzold, R., Becker, C., & Werban, U. (2021). Application of Low-Cost MEMS Spectrometers for Forest Topsoil Properties Prediction. Sensors21(11), 3927.

Conference Contributions

2020

Becker, C., Frantz, D., Petzold, R., Schmidt, K., Behrens, T., Scholten, T. (2020): Using multi-temporal Sentinel-2 data to predict chemical properties of the organic surface layer of forest soils. EGU General Assembly 2020, Digital Conference. [talk]

2019

Becker, C., Petzold, R., Schmidt, K., Behrens, T., Thomas, F., Werban, U., Scholten, T. (2019): Räumliche Prognose der Humuseigenschaften von Waldböden. Jahrestagung der Deutschen Bodenkundlichen Gesellschaft 2019, AG Digital Soil Mapping, 26. August 2019, Bern, Switzerland. [talk]

2018 Becker, C., Petzold, R. (2018): Räumliche Prognose von Humuseigenschaften. Forstwissenschaftliche Tagung 2018, Göttingen, Germany. [talk]

Internships:

10/2014 - 04/2015

Leibniz Institute of Ecological Urban and Regional Development, Dresden: examination of selected meteorological measurements of the Pirin Mountains (Bulgaria), regarding plausibility, data cleaning, gap filling methods for time series with R

12/2012 - 06/2013

Senckenberg Natural History Collections Dresden: analysis of the variability of fur colours and patterns of the European wildcat (Felis silvestris) in the Harz region using statistical frequency and cluster analysis, development of a research design especially for comparability of taken photos of each examination object and generation of a system for classifying coat coloration

08/2012 - 10/2012

GT-Pro Geotechnology Berlin: evaluation of the influence of climatic and hydrological factors on groundwater levels in the Templin area

08/2011 - 09/2011

Seal Centre Friedrichskoog

04/2011 - 06/2011

Department of Physics (Geology), Faculty of Marine Science, Las Palmas de Gran Canaria, Spain