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BA Topics
1. Comparison of voluntary crowd-sourced data and Federal observatory data for vegetation mapping
Background: Along to the professional species field observations provided by German federal authorities (e.g., Bundeswaldinventur) and research projects (e.g., TERENO, FloraWeb), many alternative sources from Crowd Sourcing platforms (e.g. Pl@ntNet and FloraIncognita) pop up. Those free and large datasets could be very interesting for species distribution mapping, phenological research, and vegetation classification with satellite data. But how is the quality of the data? We search for a self-initiated student who is interested in analytical comparisons of different data sources and different types of geodata.
Objectives: Literature studies on the topic of voluntary geographical information (VGI). Acquisition and filtering the geodata. NDVI pheno profiles comparison of different vegetation types.
Research area: preferably on the national level (Germany) or regional level (Bundesland) Related to: TreeSatAIContact: Christian Schulz
Bachelor theses (current)
2021
Nastasia Wolter: Can voluntary crowd-sourced data be used for vegetation mapping?
Anna Probst: Modellierung oberflächennaher
Bodenfeuchte anhand drohnenbasierter TIR Daten und Analyse ihrer
saisonalen räumlichen Verteilung in Marquardt.
Robert Wallace: Understanding the relation of the
Leaf Area Index and satellite imagery in the National Park
Hainich.
Leonora Oels: Analyse der Effekte von Massenvermehrungen des Fichten-Borkenkäfers während der Jahre 2018-2021 im Müritz Nationalpark.
2020
Judith Feldhaus: Berliner Stadtbäume – Aktueller Zustand und zukünftiger Handlungsbedarf in Zeiten des Klimawandels.
Bachelor theses (completed)
2020
Josephine Goutrié
Urban blue space availability in German major cities:
Providing a differentiated availability indicator considering
different distances, water types and sizes.
Raphaela Edler
Analysis of vegetation
development in Eastern Siberia by comparing declassified data from the
CORONA Mission KH4B with modern imagery.
Pia Kräft
Analyse der Eignung von
Oberflächenmodellen zur Erkennung von Windwurfflächen am Beispiel
des Sturmes Xavier (2017) in Mecklenburg-Vorpommern.
2016
Maik Boytscheff
Wald als Regenerationsquelle
für das Makrozoobenthos nach Pestizideintrag – eine GIS-basierte
Landschatselementanalyse des Gewässernetzes in Norddeutschland.
2012
Robert Ahrberg
Carbon Footprint und
Stadtstruktur – eine statistische Analyse der Zusammenhänge am
Beispiel von Berlin
2011
Hendrikje Leutloff
Sind INSPIRE-kompatibele
Geofachdaten für die Durchführung einer GIS-basierten SUP anwendbar?
- Analyse zum Schutzgut Wasser auf Ebene des Flächennutzungsplans von
Berlin
Bachelor thesis Leutloff [1]
2010
Lisa Heinsch
Application of a cellular
automaton for modelling the land use in the metropolitan area of
Berlin
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Contact [2]
g242/Bachelorarbeiten/Bachelorarbeit_Leutloff.pdf
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