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Unsupervised Continual Semantic Adaptation Through Neural Rendering - pre-trained checkpoint
(2023)This is the pre-trained DeepLabv3 checkpoint used in the experiments for the publication "Unsupervised Continual Semantic Adaptation Through Neural Rendering". Cf. https://github.com/ethz-asl/ucsa_neural_rendering/tree/main#deeplabv3-pre-training.Model -
Ground motion and macroseismic intensity soil amplification maps for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations
(2023)This dataset constitutes the soil amplification model for Switzerland presented in the scientific paper “A site amplification model for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations”, by Paolo Bergamo, Donat Fäh, Francesco Panzera, Carlo Cauzzi, Franziska Glueer, Vincent Perron, Stefan Wiemer, published on “Bulletin of Earthquake Engineering”. The amplification model was ...Model -
Bio-economic model on benefits of increasing information accuracy in variable rate technologies
(2021)This bio-economic modeling framework assesses the benefits of different sensor approaches to measuring environmental heterogeneity in the field, ranging from the use of satellite imagery to drones and portable N sensors, in variable rate fertilization. The model is described in detail in the following article: Späti, K., Huber, R., & Finger, R. (2021). Benefits of Increasing Information Accuracy in Variable Rate Technologies. Ecological ...Model -
Supplementary Material of "Impacts of a Revised Surface Roughness Parameterization in the Community Land Model 5.1"
(2021)The roughness of the land surface (z0) is a key property for the amount of turbulent activity above the land surface and through that for the turbulent exchange of energy, water, omentum, and chemical species between the land and the atmosphere. Variations in z0 are substantial across different types of land cover from typically less than 1 mm over fresh snow or sand deserts up to more than 1 m over urban areas or forests. In this study, ...Model -
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3D P-wave Velocity of the Alpine Crust
(2023)This model repository contains 1D and 3D tomographic P-wave velocity (Vp) models of the Alpine crust. The three-dimensional (3D) model is provided in different formats and its resolution/reliability can be assessed by additional information provided in the repository (Resolution-Diagonal-Elements, Spread-function-values). Details on formats and resolution limits are provided in a README-file included in the repository. Additional information ...Model -
Detection of Pictorial Map Objects with Convolutional Neural Networks
(2023)keras/TensorFlow models and preprocessed data to classify maps and non-maps (Xception and InceptionResNetV2), to classify pictorial maps and non-pictorial maps (Xception and InceptionResNetV2) as well as to detect sailing ships on historic maps (Faster R-CNN and RetinaNet)Model