Reference Mapping Products

This procurement procedure aims at the establishment of a multiple framework contract with reopening of competition with a maximum of seven selected tenderers, covering the production of reference mapping products that will facilitate the assessment of specific areas of interest in support of EU decision-making. The FWC will cover the production and delivery of five different types of products: Product 1 - Full Reference Mapping: High Resolution Vector Data (HRVD) products and provision of a background of geographical context, as well as a representation of a requested AOI, including hydrography, topography, land cover, infrastructure and population relevant data according to a Reference Mapping Data Dictionary (RMDD). The Full Reference Mapping encompasses 212 Feature Classes (Area: 105, Line: 43, Point: 64). Product 2 - Reduced Reference Mapping: HRVD products and provision of a background of geographical context, as well as a representation of a requested AOI, including lines of communications, land cover and other relevant data according to a subset of the RMDD. The Reduced Reference Mapping Product encompasses 117 Feature Classes (Area: 60, Line: 28, Point: 29). Product 3 - On-Demand Reference Mapping: HRVD products and provision of background of geographical context, as well as a representation of a requested AOI, with a limited set of Feature Classes which will be defined in each specific Product Request Form. Product 4 - Updated Reference Mapping: Updates of HRVD products that have already been produced, based on new extraction specifications as well as new imagery. Product 5 – Situational Mapping: HRVD product representing a requested AOI and a given set of limited and defined Feature Classes, compiled and delivered in a map book format. All of the aforementioned products will also require capabilities in processing Very High Resolution optical satellite imagery to create mapping-ready orthomosaics and open source information extraction to accurately complete the attribute tables of some features.