Land cover mapping

This is the classification module for land cover mapping.

Getting started: Tutorial
Going further:
Land cover mapping parameters
Using auto-context classification
How to use custom external features?

Spectral Indices Maps

This iota2 module produces features maps.

According to user specification, features are computed using reflectance data and the iota2 multi-tiles scheduler.

This mode use user provided python code to produce various kind of indices.

Getting started: with the tutorial
Going further:
Features map configuration parameters
How to use custom external features?

Large scale vectorization

This iota2 module produces a vectorized land cover map.

Zonal Statistics are computed and added to geometry in the produced map.

Getting started: with the tutorial
Going further:
Vectorization configuration parameters