TU Dresden Data Publications

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Data publications from research of Dresden University of Technology.

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Browsing TU Dresden Data Publications by Subject "2::23::207::207-06"

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  • ItemOpen Access
    Dataset for object detection of charcoal kiln sites
    (Technische Universität Dresden, 2025-12-18) Rünger, Carolin; Neubauer, Grit; Zamboni, Pedro; Van der Maaten-Theunissen, Marieke; Eltner, Anette
    This dataset provides a collection of processed airborne LiDAR data and associated annotations of historical charcoal kiln sites in the Erzgebirgskreis district of Saxony, Germany for object detection. The starting point is raw LiDAR data, from which a digital terrain model (DTM) was first derived. Based on this, various DTM derivatives were calculated, which are used as three-channel input data (hillshade, slope and sky-view factor) for a convolutional neural network. The dataset includes training, validation and test data, including annotations, as well as trained model weights and configuration files for inference. In addition, model predictions for test areas in the Ore Mountains (Saxony) and for the Kermeter mountain range in the Rureifel (North Rhine-Westphalia) are included. To ensure reproducibility, suitable Conda environments for training and inference with MMDetection v2.28.2 are also provided.
  • ItemOpen Access
    Fine root vitality decline results in reduced branch formation in mature beech stands after drought - Dataset
    (Technische Universität Dresden, 2026-01-06) Koller, Alexandra Vivian
    Climate change is deteriorating the health, growth and thus functioning and services of forests through i.a. ongoing droughts, heatwaves and altered precipitation patterns, and an increase in the severity of these effects is predicted. Although fine roots can serve as an early indicator of drought stress, we still lack an understanding of how tree fine root vitality is reflected in aboveground tree morphology. Our study uses multitemporal fine root data obtained by sequential coring, as well as high-resolution tree crown data obtained by terrestrial laser scanning in mature European beech (Fagus sylvatica) stands. First, we assessed which fine root vitality traits are affected by drought, and second, evaluated the relationship between fine root vitality and crown vitality including trees within three different radial distances (5, 8 or 10 m) from the fine root sampling point. We found that fine root necromass, fine root biomass to necromass ratio and turnover were correlated with drought. Mainly fine roots in the upper 10 cm of soil affected the crown vitality of beech trees within a 5-m radius of the fine root sampling point, highlighting the tree-centred horizontal distribution of fine roots and shallow rooting pattern of beech. A decreased fine root vitality in the upper soil in the previous growing seasons led to decreased crown vitality. Including fine root inventories in forest monitoring protocols could substantially improve our understanding of the status and trends of forests and enable forest management to deal more effectively with the growing pressure on forests.