Multiscale analysis of surface roughness for the improvement of natural hazard modelling [PDF]
Surface roughness influences the release of avalanches and the dynamics of rockfall, avalanches and debris flow, but it is often not objectively implemented in natural hazard modelling.
N. Brožová +8 more
doaj +1 more source
TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering
Over the past decades, several filters have been developed to derive a Digital Terrain Model (DTM) from a Digital Surface Model (DSM), by means of filtering out aboveground objects such as vegetation.
Anton Pijl +5 more
doaj +1 more source
BARE-EARTH EXTRACTION AND DTM GENERATION FROM PHOTOGRAMMETRIC POINT CLOUDS WITH A PARTIAL USE OF AN EXISTING LOWER RESOLUTION DTM [PDF]
A method of extracting bare-earth points from photogrammetric point clouds by partially using an existing lower resolution digital terrain model (DTM) is presented. The bare-earth points are extracted based on a threshold defined by local slope.
M. Debella-Gilo
doaj +1 more source
INTEGRATION OF 3D OBJECTS AND TERRAIN FOR 3D MODELLING SUPPORTING THE DIGITAL TWIN [PDF]
3D modelling of precincts and cities has significantly advanced in the last decades, as we move towards the concept of the Digital Twin. Many 3D city models have been created but a large portion of them neglect representing terrain and buildings ...
J. Yan +4 more
doaj +1 more source
Accurate topographic mapping is a critical task for various environmental applications because elevation affects hydrodynamics and vegetation distributions.
Jiaming Na +6 more
doaj +1 more source
Digital Terrain Model Geospatial Modelling
Abstract The modelling means the world object cognition based on the analogy. This analogy presents an idea and material imitation of some properties of the existing world. It is processed by various anthropogenic objects, in which the chosen properties are presented, defined and characterised as shapes and relations of original objects.
Robert Sasik +2 more
openaire +1 more source
Digital terrain model height estimation using support vector machine regression
Digital terrain model interpolation is intrinsically a surface fitting problem, in which unknown heights H are estimated from known X-Y coordinates.
Onuwa Okwuashi, Christopher Ndehedehe
doaj +1 more source
FOSS4G date assessment on the isprs optical stereo satellite data. A benchmark for DSM generation [PDF]
The ISPRS Working Group 4 Commission I on "Geometric and Radiometric Modelling of Optical Spaceborne Sensors", provides a benchmark dataset with several stereo data sets from space borne stereo sensors.
Crespi, Mattia +2 more
core +1 more source
Modelling the spatial distribution of DEM Error [PDF]
Assessment of a DEM’s quality is usually undertaken by deriving a measure of DEM accuracy – how close the DEM’s elevation values are to the true elevation.
Bolstad P V +23 more
core +1 more source
THE EXPLAINABILITY OF GRADIENT-BOOSTED DECISION TREES FOR DIGITAL ELEVATION MODEL (DEM) ERROR PREDICTION [PDF]
Gradient boosted decision trees (GBDTs) have repeatedly outperformed several machine learning and deep learning algorithms in competitive data science.
C. Okolie +6 more
doaj +1 more source

