Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning

In this article, our aim is to estimate synthetic aperture radar (SAR) observables, such as backscatter in VV and VH polarizations, as well as the VH/VV ratio, cross ratio, and interferometric coherence in VV, from agricultural fields. In this study, we use the decision support system for agrotechnology transfer (DSSAT) crop-growth simulation...

Saturation-pulse prepared heart-rate independent inversion-recovery (SAPPHIRE) biventricular T1 mapping: inter-field strength, head-to-head comparison of diastolic, systolic and dark-blood measurements

Background: To assess the feasibility of biventricular SAPPHIRE T₁ mapping in vivo across field strengths using diastolic, systolic and dark-blood (DB) approaches. Methods: 10 healthy volunteers underwent same-day non-contrast cardiovascular magnetic resonance at 1.5 Tesla (T) and 3 T. Left and right ventricular (LV, RV) T<sub>1<...

The Third Dimension in Noise Visualization–a Design of New Methods for Continuous Phenomenon Visualization

3D cartographic visualization of a continuous time-dependent phenomenon is not an easy task. The focus of this research is motivated by the struggle to visualize such a phenomenon. Based on the current state of the art, we implemented new visualization methods to visualize continuous time-dependent phenomena. All visualizations are based on...

Modelling urban noise in CityGML ADE: Case of the Netherlands

Road traffic and industrial noise has become a major source of discomfort and annoyance among the residents in urban areas. More than 44&amp;thinsp;% of the EU population is regularly exposed to road traffic noise levels over 55 dB, which is currently the maximum accepted value prescribed by the Environmental Noise Directive for road traffic...