Extracting image footprints using ChatGPT

Raster images, which are essentially grid-based digital images, provide a wealth of detailed data. However, their format can sometimes limit our ability to interact with and analyze the data they contain. This is where vector footprints come into play. By creating vector footprints of raster images, we essentially create an outline or footprint of the image in a vector format as polygons.

This process allows us to interact with raster data in new and more flexible ways. For instance, vector footprints can be used to quickly identify the geographic extent of raster data, which is particularly useful when dealing with large datasets. They can also be used to index raster data, making it easier to manage and query. Furthermore, vector footprints can be overlaid on other geospatial data layers, enabling more complex spatial analyses.

For our final technique in this chapter, we’ll create a footprint for the swap.tif image that we used...