Faculty of Mathematics and Natural Sciences | Geography Department | Biogeography | Teaching | BSc & MSc Theses | Ongoing & past MSc theses | master's theses info master's theses info vega-de-pas.JPG Boosting Methods for Statistical Classication of Spatial Geographic Phenomena GranChaco_Clearings_Verena_Fehlenberg.jpg Understanding proximate causes of deforestation in the Gran Chaco - soybean production versus cattle ranching Remote sensing based measures of tree diversity in the Southern Ecuadorian Andes niepoth.JPG Zusammenstellung_MSc_Webseite_Biogeo.png Using simulations from dense Landsat time series for crop yield estimations – a case study in Brandenburg, Germany Graphical Abstract.jpg Mapping European bison habitat in the Caucasus Using simulations from dense Landsat time series for crop yield estimations – a case study in Brandenburg, Germany alex-rowell-forest-romania How has the restitution process affected the conservation value of Romanian forests? markoff_figure A functional connectivity approach to identify conservation areas in a changing landscape. A case sudy of the Eastern Andes in Colombia. Mapping habitat suitability and landscape connectivity for moose (Alces alces) in Central Europe Photo Moose The biogeographic footprint of plastic litter in the marine environment Carbon corridors between key biodiversity areas in the Dry Chaco Exploring differences in forest disturbances and land management practices in the Ecuadorian Amazon using Landsat time series and propensity score matching 1 2 3 Next 20 items
Understanding proximate causes of deforestation in the Gran Chaco - soybean production versus cattle ranching
Using simulations from dense Landsat time series for crop yield estimations – a case study in Brandenburg, Germany
Using simulations from dense Landsat time series for crop yield estimations – a case study in Brandenburg, Germany
A functional connectivity approach to identify conservation areas in a changing landscape. A case sudy of the Eastern Andes in Colombia.
Exploring differences in forest disturbances and land management practices in the Ecuadorian Amazon using Landsat time series and propensity score matching