rifatsdas / satellite_optical_indices

Mostly used optical indices with satellite images for studying earth surface and different features and their changes in spatio-temporal scale.

satellite_optical_indices

Mostly used optical indices using satellite data

This repo contains available optical indices, including vegetation, soil, and water indices. The indices are tested with Sentinel 2 MSI optical satellite data. All data used for testing is publically available under open source license. For more details look here https://scihub.copernicus.eu/

Any of these indices in this repo can be applied with any optical satellite data, from space-borne or air-borne sensors.

To run any of these jupyter file, user needs:

Anacond installed with Python 3.6 or above
Rasterio python package for working with satellite raster data 
To install rasterio see here: https://rasterio.readthedocs.io/en/latest/