

Following versions of SCP were developed as personal commitment to the remote sensing field and open source software. The first version of the SCP was written by Luca Congedo in 2012 for the ACC Dar Project in order to create a tool for the classification of land cover in an affordable and automatic fashion (read this working paper). The overall objective of SCP is to provide a set of intertwined tools for raster processing in order to make an automatic workflow and ease the land cover classification, which could be performed also by people whose main field is not remote sensing. It provides several tools for the download of free images, the preprocessing, the postprocessing, and the raster calculation. Detailed site location information is obscured in this version of the document to protect heritage sites from looting.ĭeveloped by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) is a free open source plugin for QGIS that allows for the semi-automatic classification (also known as supervised classification) of remote sensing images. This training manual provides the basis for basic training in QGIS and was the basis of a two-week module conducted from July 31-August 11, 2017.

The system is being designed on a Drupal open-source platform and NMK staff are being trained in how to capture archaeological and paleontological data within an open-source Geographic Information System (GIS) environment (QGIS) for the purpose of migrating the data into Kenyan Heritage Resource Information System (KEHRIS), which is the CMS. The purpose of the CMS is to integrate existing databases at the NMK, both in paper and electronic formats, into a single software architecture that can be used to capture and disseminate information pertaining to prehistoric archaeological and palaeontological sites in Kenya.

In coordination with OpenHeritage (OH), Digital Divide Data (DDD) and Amazon Web Services/Intel Corporation, David Wright (professor at Seoul National University, South Korea) is implementing a content management system (CMS) for the National Museums of Kenya (NMK).
