Google Earth Engine: A Powerful Geospatial Analysis Platform

Related lectures (31)

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Introduces Google Earth Engine, focusing on its capabilities for geospatial analysis and environmental monitoring.

Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.

Covers the basics of QGIS, including project management, data manipulation, and map production.

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

Covers the concept of cartography, thematic maps, and map components.

Covers the principles and practice of georeferencing images using various formats and software tools like QGIS.

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Covers the components and functions of thematic mapping, including visual variables, map production, and interactive mapping.

Explores automatic analysis of maps, covering segmentation, georeferencing, and neural network applications.

Explores the challenges of cartographic localization and the evolving landscape of cartographic tools.