Working_with_data_found_in_the_raster_format
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Updated
Oct 10, 2022 - Python
Working_with_data_found_in_the_raster_format
Get the NDVI using rasterio library
A project which reads image files (satellite data) to find Sea Ice Extent and then processes this data to form a dataset which can be correlated with various geographical indices.
A simple Flutter application focused on rasterizing an image and rendering it as a grid of colored rectangles on the canvas.
Explore the world of remote sensing and raster image analysis using Python. This repository serves as a hub for leveraging Python for various remote sensing applications, including image processing, classification, and feature extraction. Elevate your skills in image processing and gain insights into the fascinating field of Earth observation.
A spatiotemporal analysis of light pollution in the city of Boulder, CO (2012-2021)
Landcover classification models validator using the SIGPAC data
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
Read a raster data file with rasterio and overlay it on folium with appropriate coloring.
an attempt to build a package that extracts data from a aws 3bucket containing lidar 3dep data, visualize the data and transform it
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