  In this work, we propose an AI-based technique using freely available
satellite images like Landsat and Sentinel to create natural features over OSM
in congruence with human editors acting as initiators and validators. The
method is based on Interactive Machine Learning technique where human inputs
are coupled with the machine to solve complex problems efficiently as compare
to pure autonomous process. We use a bottom-up approach where a machine
learning (ML) pipeline in loop with editors is used to extract classes using
spectral signatures of images and later convert them to editable features to
create natural features.
