Land Cover Mapping with Python

Bertrand Lobo
Bertrand Lobo

May 04, 2022

Land Cover Mapping with Python

Using Sentinel-2 data for agricultural fields in Munich, Germany to map various indices like Vegetation, Soil, Moisture, Water, Geology in Jupyter Notebooks.

A foundation for training basic models with a sample data set to perform further machine learning techniques.


Tools used

PythonRemote Sensingsentinel-2

Plug-ins used

Data VisualizationGDALPython


AgricultureMachine LearningRemote SensingSpatial Data Science#SpatialNode

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