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UAS photogrammetry and object-based image analysis (GEOBIA): erosion monitoring at the Kazár badland, Hungary
Published September 12, 2016

A remarkable badland valley is situated near Kazár, NE-Hungary, where rhyolite tuff outcrops as greyish
white cliffs and white barren patches. The landform is shaped by gully and rill erosion processes. We
performed a preliminary state UAS survey and created a digital surface model and ortophotograph. The
flight was operated with control in order to perform a more optimal coverage of the aerial images.
The overhanging forests induced overexposed photographs due to the higher contrast with the bare
tuff surface. The multiresolution segmentation method allowed us to classify the ortophotograph and
separate the tuff surface and the vegetation. The applied methods and final datasets in combination with
the subsequent surveys will be used for detecting the recent erosional processes of the Kazár badland

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Studying floodplain roughness in an Upper Tisza study area
Published July 14, 2021

Floods slowing down due to the significant decrease of the gradient have considerable sediment accumulation capacity in the floodplain. The grade of accumulation is further increased if the width of the floodplain is not uniform as water flowing out of the narrow sections diverge and its speed is decreased. Surface roughness in a study area of ...492 hectares in the Upper Tisza region was analysed based on CIR (color-infrared) orthophotos from 2007. An NDVI index layer was created first on which object-based image segmentation and threshold-based image classification were performed. The study area is dominated by land cover / land use types (grassland-shrubs, forest) with high roughness values. It was concluded that vegetation activity based analyses on their own are not enough for determining floodplain roughness.

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