Write a script that downloads imagery from amazon cloud server’s Landsat repository based on user defined parameters (acquisition date, path/row combination, cloud cover, etc.), runs a k-means unsupervised classification algorithm on each image, saves processed images to a directory, opens a preview of results.
2 scripts, sample results of classified images
Python scripting with libraries including: requests, pandas, BeautifulSoup, numpy, matplotlib, GDAL, earthpy, and sklearn. Imagery analysis, Remote Sensing data acquisition, research.
Filter images based on user input, download, rename and store images, run k-means classifier on each image and show results in a pop-up window, images are saved to a user-specified directory.
Project Code (github)
