souravbhadra/raster4ml
A geospatial raster processing library for machine learning
This tool helps remote sensing specialists and environmental scientists prepare satellite or drone imagery for analysis. It takes raw geospatial raster data (like satellite images) and extracts key features such as vegetation indices or textures. The output is processed imagery or extracted statistics, ready for further machine learning applications.
123 stars. No commits in the last 6 months.
Use this if you need to quickly calculate vegetation indices from various satellite or UAV raster images, or extract statistical data from raster layers using shapefiles for environmental or agricultural studies.
Not ideal if you primarily need to visualize geospatial data interactively or perform advanced spatial analysis that doesn't involve machine learning feature extraction.
Stars
123
Forks
14
Language
Python
License
MIT
Category
Last pushed
Nov 13, 2023
Commits (30d)
0
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