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MSc on deforestation in Myanmar and its drivers

MSc on deforestation in Myanmar and its drivers

by EAGLE Team | Apr 7, 2016 | MSc thesis, news, wegmann

The MSc by Andrea Hess “Deforestation in Myanmar – what can we say about causes?” has been handed in. It has been supervised by Peter Leimgruber (Smithsonian Conservation Biology Institute) and Martin Wegmann. Deforestation in the tropics is a global issue. Tropical...
Deployment of a multi-classifier approach to improve land cover classification accuracy

Deployment of a multi-classifier approach to improve land cover classification accuracy

by EAGLE Team | Mar 7, 2016 | innovation laboratories, news

This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed....
Stereo photogrammetry for multi-temporal surface models based on aerial imagery

Stereo photogrammetry for multi-temporal surface models based on aerial imagery

by EAGLE Team | Feb 7, 2016 | innovation laboratories, news

The data provided by aerial imagery are amongst the oldest sources of spatially explicit information for modern-time environmental management. These data are often captured over landscape-level domains using overlapping flight stripes to enable stereo photogrammetric...
Estimation of actual evapotranspiration in irrigation agricultural area of Uzbekistan using high resolution multi-frequent synthetic remote sensing data

Estimation of actual evapotranspiration in irrigation agricultural area of Uzbekistan using high resolution multi-frequent synthetic remote sensing data

by EAGLE Team | Feb 7, 2016 | innovation laboratories, news

Actual evapotranspiration (ETact) is an essential component of the water balance and its determination for large areas is difficult on regional scale and can be explored within an innovation laboratory. The use of remote sensing data to determine ETact is particularly...
Object based sequential masking classification using SAR  and optical data

Object based sequential masking classification using SAR and optical data

by EAGLE Team | Feb 7, 2016 | innovation laboratories, news

Remote sensing based crop mapping is still challenging when just relying on optical information as the only data source. Due to the unavailability of adequate optical satellite images the integration of SAR is promising and can be explored within an innovation...
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