High temporal resolution of synthetic aperture radar (SAR) imagery (e.g., Sentinel-1 (S1) imagery) creates new possibilities for monitoring green vegetation in urban areas and generating land-cover classification (LCC) maps. This research evaluates how different pre-processing steps SAR affect accuracy. Machine learning (ML) methods were applied three study areas: random forest (RF), support ve...

Grasslands cover one-third of the agricultural area in Germany and play an important economic role by providing fodder for livestock. In addition, they fulfill ecosystem services, such as carbon storage, water purification, provision habitats. These services usually depend on grassland management. central Europe, grasslands are grazed and/or mown, whereby management type intensity vary space ti...

Bark beetle infestations are among the most substantial forest disturbance agents worldwide. Moreover, as a consequence of global climate change, they have increased in frequency and size number affected areas. Controlling bark outbreaks requires consistent operational monitoring, is possible using satellite data. However, while many satellite-based approaches been developed, full potential den...