Capabilities of high resolution satellite radar for the detection of semi-natural habitat structures and grasslands in agricultural landscapes

摘要: Abstract The loss of species is an ongoing process threatening the services provided by ecosystems for humanity. In agricultural areas, which globally occupy largest diversity strongly dependent on farmers' management. If management allows a landscape structure with many remnants natural or semi-natural vegetation, and amount flora fauna higher compared to intensive landscapes large, continuous field parcels low crop variety. Knowledge crucial development monitoring political strategies that aim enhance conserve in areas. Remote sensing cost effective way acquire this knowledge large spatial areas high temporal resolution. Since 2008, modern satellite-based radar sensors deliver images unprecedented quality. acquisition not restricted atmospheric conditions, it very capable multitemporal classifications. presented study, possibilities supervised classification non are investigated based TerraSAR-X two different classifiers (Maximum Likelihood Random Forest). best results were achieved woody structures where producer's accuracies above 80%. Despite lower values other classes (flower strips 75%, grasslands 75.8% herbaceous 57%), these easily recognized. This illustrated map examples. can contribute essentially monitoring, investigation increasing habitat