Digital Elevation Models: Basic Elements

Related lectures (32)

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Covers methods for sampling elevation and measuring elevation using leveling, photogrammetry, and LiDAR in Geographic Information Systems.

Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.

Covers isovalue curves in geographic information systems and their creation using QGIS.

Covers geographic information systems, relief indicators, and digital elevation models.

Explores Geographic Information Systems, covering data acquisition, representation, and visualization of geodata.

Covers spatial autocorrelation, spatial dependence, biases in classical statistics, and limitations of statistical tools in geography.

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Covers interactions between vector layers in GIS using QGIS tools.

Covers methods for acquiring and representing altitude data, emphasizing the historical and analytical importance of relief.

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.