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Alikerin/IndabaX-Rwanda-ML4EO-Workshop

Domaine:

geospatialagriculture

Type de record:

project
Créateur:
Ali
Hôte:
IndabaX Rwanda Machine Learning for Earth Observation (ML4EO) Workshop # IndabaX-Rwanda-ML4EO-Workshop IndabaX Rwanda Machine Learning for Earth Observation (ML4EO) Workshop | Topic | Description | |-----------------|-----------------| | Remote Sensing with Python | This first module serves to introduce participants to the Python tools (Xarray, GeoPandas, RasterIO) used for reading and preprocessing remote sensing data in different file formats including GeoTiff and NetCDF | | Rwanda CropLand Classification | In this second module, we build on what has been learnt from the first module for a use case that involves cropland classifcation in Rwanda using multispectral earth observation data from Sentinel-2 and Landsat-8 satellites. |

Visit

github.com

Tasks

computer visionimage classification

Licenses

Apache-2.0

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