Lab 7

Lab 7#

Overview#

In this lab, you’ll extend the functionality of your interactive mapping package by implementing support for raster data, static image overlays, and Web Map Service (WMS) layers. These enhancements will make your package more versatile for real-world geospatial visualization tasks.

Task 1: Add add_raster() Method#

Implement an add_raster() method in your Map class to visualize Cloud Optimized GeoTIFFs (COGs).

  • Method parameters should include:

    • url: path to the COG

    • name: optional display name

    • colormap (optional): a dictionary or string identifier

    • opacity: transparency level

Task 2: Add add_image() Method#

Implement an add_image() method to overlay static images or animated GIFs on the map.

  • Use ipyleaflet.ImageOverlay

  • Required parameters:

    • url: image or GIF URL

    • bounds: a tuple of ((south, west), (north, east)) geographic coordinates

    • opacity: transparency level

Task 3: Add add_video() Method#

Implement an add_video() method to overlay videos on the map.

  • Use ipyleaflet.VideoOverlay

  • Required parameters:

    • url: image or GIF URL

    • bounds: a tuple of ((south, west), (north, east)) geographic coordinates

    • opacity: transparency level

Task 4: Add add_wms_layer() Method#

Add a method to support WMS (Web Map Service) layers, commonly used for serving satellite imagery, weather maps, and environmental data.

  • Use ipyleaflet.WMSLayer

  • Parameters to support:

    • url: base WMS endpoint

    • layers: comma-separated layer names

    • name: display name for the layer

    • format: (e.g., ‘image/png’)

    • transparent: boolean for layer transparency

  • Optionally support additional query string parameters.

🗂 Submission Checklist#

Your submission should include links to the following:

  • Updated Map class with all four methods:

    • add_raster()

    • add_image()

    • add_video()

    • add_wms_layer()

  • A Jupyter Notebook demonstrating the new functionalities.

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