![]() Each pixel represents an area of land on the ground. However, the raster files that you will work with are different from photographs in that they are spatially referenced. You’ve looked at and used rasters before if you’ve looked at photographs or imagery in a tool like Google Earth. A raster file is composed of regular grid of cells, all of which are the same size. Each pixel value represents an area on the Earth’s surface. Raster or “gridded” data are stored as a grid of values which are rendered on a map as pixels. You will also learn about key attributes of a raster dataset: In this chapter, you will learn how to open and plot a lidar raster dataset in Python. In this chapter you will learn how to use the open source Python packages rasterio combined with numpy and earthpy to open, manipulate and plot raster data in Python. ![]() In previous chapters you learned how to use the open source Python package Geopandas to open vector data stored in shapefile format. The data story on Lidar data reviews the basic principles behind Lidar raster datasets. You will need a computer with internet access to complete this lesson.ĭownload Colorado Flood Teaching Data Subset data
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