Demand-driven data services for humanitarian aid

Abstract

In a crisis event, humanitarian aid organisations often do not have the latest spatial information at the required scale, which they would urgently need for many decision-making assessments. In the project "Demand-driven Data Services for Humanitarian Aid" (Data4Human), remote sensing data and other data sources are to be analysed in order to identify they possible use in the humanitarian context. The topics were jointly defined by aid organisations and DLR scientists and include current technical aspects such as artificial intelligence, the use of web-based data sources or the creation of dynamic interfaces for data exchange. The areas of application range from disaster control and food security to the violation of human rights, and are adapted to the needs of specific users.