Talks & Teaching
Seminar “Introduction into animal movement data analysis”, EAGLE MSc.: Backgrounds; effects of discretely observing continuous processes (sampling rate, autocorrelation, bias etc.); scale-dependencies/matching of tracking & environmental data; tracking approaches & location error; introduction into geometric & variance component analyses, behavioral segmentation, area-metrics such as home ranges, remote-sensing driven trajectory analysis, incl. corridor analysis, habitat analysis, resource utilization, resource selection, step selection etc. Seminar “Remote Sensing for ecological analyses”, Biology MSc.: Remote sensing in ecology; assessment of data requirements based on observation target & modelling aim; ground truth; ground truth pre-processing; remote sensing data acquisition & pre-processing; supervised regression & classification modelling; data visualization & map making. Seminar “Introduction into Earth Observation and geo-spatial data”, Biology MSc.: Remote sensing applications; physical principles (electromagnetic radiation, absorption, emission, reflectance, optics, spectral information); spatial raster & vector data types; coordinate reference systems & projections; QGIS & Lecture “Applications of remote sensing”, EAGLE MSc.: Remote sensing of forests, vulnerabilities & risks, biodiversity, wildlife ecology, natural resources, fire & burnt areas, coasts, diseases & health, agriculture, soil, land cover & land use, human settlements, policy etc. Course “Introduction into programming and GIS”, EAGLE MSc.: Basics of Seminar “Deep Learning for remote sensing”, EAGLE MSc.: Introduction to Machine Learning, Neural Networks & Deep Learning; loss, backpropagation, optimization & learning rate; activation functions & vanishing gradients; regularization & over-/underfitting; convolutions & stateless layers; u-nets; augmentation; Googel Colab; keras & tensorflow for Seminar “Hyperspectral remote sensing”, EAGLE MSc.: Spectrometric field sampling, spectral unmixing in Seminar “Scientific graphics”, EAGLE MSc.: (Interactive) visualizations using Seminar “Introduction into animal movement data analysis”, EAGLE MSc.: Backgrounds; effects of discretely observing continuous processes (sampling rate, autocorrelation, bias etc.); scale-dependencies/matching of tracking & environmental data; tracking approaches & location error; introduction into geometric & variance component analyses, behavioral segmentation, area-metrics such as home ranges, remote-sensing driven trajectory analysis, incl. corridor analysis, habitat analysis, resource utilization, resource selection, step selection etc. Lecture “Applications of remote sensing”, EAGLE MSc.: Remote sensing of forests, vulnerabilities & risks, biodiversity, wildlife ecology, natural resources, fire & burnt areas, coasts, diseases & health, agriculture, soil, land cover & land use, human settlements, policy etc. Course “Introduction into programming and GIS”, EAGLE MSc.: Basics of Seminar “Advanced Programming for Spatial Analysis”, EAGLE MSc.: introduction to machine learning, deep neural networks, computer vision, discriminative modelling; (web-)APIs, web protocols, machine-to-machine communication; development environments, code maintenance, unit testing, continuous integration, version control, Linux and Seminar “Hyperspectral remote sensing”, EAGLE MSc.: Spectrometric field sampling, spectral unmixing in Seminar “Scientific graphics”, EAGLE MSc.: (Interactive) visualizations using Seminar “Visualizing Animal Movement in Synchronicity with Environmental Data using moveVis”, AniMove Science School 2019, Yale University, CT, USA. Seminar “Introduction to Remote Sensing”, AniMove Science School 2019, Yale University, CT, USA. Seminar “Advanced Programming for Spatial Analysis”, EAGLE MSc.: introduction to machine learning, deep neural networks, computer vision, discriminative modelling; (web-)APIs, web protocols, machine-to-machine communication; development environments, code maintenance, unit testing, continuous integration, version control, Linux and Guest Lecture “Animal Movement Tracking for Remote Sensing”, Geography BSc.: Potentials of integrating animal movement tracking data with remote sensing. Seminar “Visualizing Animal Movement in Synchronicity with Environmental Data using moveVis”, AniMove Science School 2018, Max Planck Institute for Animal Behavior, Radolfzell, Germany. Seminar “Visualizing Animal Movement in Synchronicity with Environmental Data using moveVis”, AniMove Science School 2017, Max Planck Institute for Animal Behavior, Radolfzell, Germany.
2022
R
; R
for spatial & remote sensing data analysis; spectral indices; basic modelling (classifiers, regressions); generating experience-driven ground truth using digitization; supervised classifications; (statistical) validation; accuracy assessment; scale of data vs. scale of observation targets; resolutions.2021
R
& QGIS; version control using git; R
in comparison to other languages (interpreter vs. compiler, memory management etc.); programming paradigms; procedural vs. object-oriented vs. functional programming; types/modes, structures, indexing; implicit vs. explicit type conversion; control flow constructs & vectorization; functions; package building; data visualization; statistics; spatial data analysis; image processing; classification models etc.R
and Python; the building of sequential dense neural networks for multi-label image classifications, the building of sequential convolutional neural networks for binary classifications, the building of U-nets for binary segmentations.R
& QGISLaTeX
, ggplot2
, plotly
, leaflet
& shiny
/bootstrap
2020
R
& QGIS; version control using git; R
in comparison to other languages (interpreter vs. compiler, memory management etc.); programming paradigms; procedural vs. object-oriented vs. functional programming; types/modes, structures, indexing; implicit vs. explicit type conversion; control flow constructs & vectorization; functions; package building; data visualization; statistics; spatial data analysis; image processing; classification models etc.bash
etc.R
& QGISLaTeX
, ggplot2
, plotly
, leaflet
& shiny
/bootstrap
2019
bash
etc.2018
2017