Satellite imagery access and analysis in Python & Jupyter notebooks

Access, preprocess, analyse and visualize satellite images in Jupyter notebooks with Python.

Abdishakur
Towards Data Science
7 min readJun 30, 2019

--

SENTINEL-2 GLOBAL COVERAGE. Source

The vast amount of satellite imagery collected every day across the globe is huge. Frequent Global coverage of the Earth and high-resolution data with readily available data to the public makes it…

--

--

Writing about Geospatial Data Science, AI, ML, DL, Python, SQL, GIS | Top writer | 1m views.