SOURCE-LINKED INTELLIGENCE

Beyond submerged landscapes - defining human response to postglacial sea-level rise and climate change

CORDIS · observation · Publication date unknown

scape, and can we recover them in sufficient detail to investigate human impact and human response? Combining information from 4 regions in the southern North Sea and the southern Baltic, we will use artificial intelligence to develop machine-learning routines to (a) integrate existing and newly acquired geophysical and geological data to map key areas of the changing landscape, and (b) combine this information with data from known underwater archaeological sites to identify new targets of archaeological potential for more detailed investigation. Investigating these targets will use high-resolution geophysical methods, sediment coring, archaeological excavation, and geochronological, palaeoenvironmental, sedimentological and biological analyses of recovered deposits. We will reveal a new chapter in human prehistory, provide a world-leading model for the investigation of submerged landscapes, and offer improved policy guidance for underwater cultural heritage management. Submerged Landscape Archaeology

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recordType

award

status

SIGNED

region

EU

value

13221969

unit

EUR