Back to Talks
MENADD - Land Cover Classification using Multispectral Sentinel-2 Satellite Imagery, Google Earth Engine, and TensorFlow
About this Talk
A practical talk on remote sensing and machine learning: classifying land cover from multispectral Sentinel-2 satellite imagery using Google Earth Engine and TensorFlow. Covers working with geospatial data and spectral bands to train models for Earth observation.