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Remote Sensing for Disaster Response

The BWSI Remote Sensing course for high school students explores the intersection of data science & disaster response.

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  1. 01-Intro-to-python 01-Intro-to-python Public

    An introduction and review of python, numpy, and other programming tools and concepts

    Jupyter Notebook 1 10

  2. 02-visualization-and-shapes 02-visualization-and-shapes Public

    Visualization and shapes

    Jupyter Notebook 6

  3. 03-Intro-to-GIS 03-Intro-to-GIS Public

    Introduction to Geopandas, vector data, and spatial analysis

    Jupyter Notebook 3 7

  4. 04-Intro-to-networks 04-Intro-to-networks Public

    Network lecture is based off of the osmnx-examplescode and the Automating GIS Processes from the University of Helsinki

    Jupyter Notebook 1 7

  5. 05-Rasters-and-satellite-imagery 05-Rasters-and-satellite-imagery Public

    This lecture looks into processing DEM data and satellite imagery from Landsat using rasterio and Google Earth Engine.

    Jupyter Notebook 6

  6. 06-Intro-to-Image-processing 06-Intro-to-Image-processing Public

    Working with image data, extract information, and perform basic operations and transformations

    Jupyter Notebook 1 6

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