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Description
This PR introduces a new tutorial notebook that demonstrates the use of the
xdem
package for performing DEM classification and subsequent analysis. The tutorial covers various steps from data visualization to calculating metrics. Key functionalities included in this tutorial are:1. Visualization:
Demonstration of how to visualize the DEM and attribute layers (e.g., slope, roughness) to explore the terrain data.
2. Classification:
A guide on how to perform a basic classification of the DEM based on selected criteria (e.g., elevation, slope, roughness).
3. Mask Creation:
Generating masks from the classification results. These masks are used to filter and isolate specific regions of the DEM based on the classification.
4. Metrics Calculation:
Computation of various statistical metrics such as mean, median, std, nmad, max and min. Metrics are applied to dem, attributes (slope and roughness), masked dem and masked attributes.