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Dissertation
Using Optical Satellite Imagery to Monitor and Understand Agricultural Land-cover Change
(2020-06)
The activities of humans have transformed the earth over the last decades. The transformation is estimated to increase further in response to the growing world population. This has caused many countries to devise means to utilize resources sustainably. Bio-economy is seen as a means to reduce the high reliance on fossil materials and ensure the provision of raw materials, energy and food to the increasing world population in a sustainable manner. However, the rising demands for biomass to produce bioenergy have relied ...
Dissertation
The potential of UAV-based remote sensing for the prediction of aboveground biomass and N fixation in legume-grass mixtures
(2020-07)
The world population is growing steadily and with it the demand for meat and animal protein. A major source of feed for livestock is grassland, which serves as high quality and protein rich forage. In addition to permanent grassland, temporary grassland is a valuable crop rotation element, especially in organic farming, since legumes in legume-grass mixtures can fix atmospheric nitrogen (NFix). To further increase the intensification in agriculture, reliable non-destructive measurement techniques are needed as an ...
Dissertation
Technical and Environmental Assessment of Energy and Material Production from Rural and Urban Residual Biomass
(2020-04)
Die vorliegende Arbeit umfasst Studien zur Untersuchung technischer und ökologischer Aspekte bei der Nutzung von Restbiomassen in den Nutzungspfaden Energieerzeugung und Aktivkohleproduktion. Im Mittelpunkt der jeweiligen Untersuchung stand das Verfahren zur integrierten Erzeugung von Festbrennstoff und Biogas aus Biomasse (IFBB) und dessen Einfluss auf technische und ökologische Aspekte bei der Verwertung von Restbiomassen. Im Zuge von Naturschutz- und Landschaftspflegemaßnahmen auf extensiv bewirtschafteten ...
Dissertation
Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing
(2020-04)
RS is widely employed as a non-destructive methodology to monitor grasslands. Usage of UAV as the RS platform benefits to provide high spatial (fine-grain) and temporal resolution, unclouded data over small grassland extent. Therefore, this thesis evaluated the applications of UAV-borne RS for fine-scale grassland monitoring along with practical farm condition. Grass biomass estimation, predicting forage quality of grass and mapping invasive lupine in grasslands are considered as applications of UAVborne RS.