{"id":3080,"date":"2014-04-17T18:49:47","date_gmt":"2014-04-17T18:49:47","guid":{"rendered":"http:\/\/www.open.ac.uk\/blogs\/per\/?p=3080"},"modified":"2014-04-17T18:49:47","modified_gmt":"2014-04-17T18:49:47","slug":"technology-and-data-driven-collaboration-archaeological-practice-in-the-21st-century","status":"publish","type":"post","link":"https:\/\/weblab.open.ac.uk\/blogs\/per\/archives\/3080","title":{"rendered":"Technology and data driven collaboration – archaeological practice in the 21st Century"},"content":{"rendered":"

Seminar given on March 10th, 2014 by Anthony Beck, OrcID<\/a>: Honorary fellow - University of Leeds, School of Computing<\/p>\n

The text is CC0 (+BY)<\/a>. The illustrations are CC-BY<\/a>.<\/p>\n

Improving impact through Open Science<\/h2>\n

\"Improving<\/p>\n

The Detection of Archaeological residues using Remote Sensing Techniques (DART) project has the overall aim of developing analytical methods for identifying heritage features and quantifying gradual changes and dynamics in sensor responses. To examine the complex problem of heritage detection DART has attracted a consortium consisting of 25 key heritage and industry organisations and academic consultants and researchers from the areas of computer vision, geophysics, remote sensing, knowledge engineering and soil science.
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Sensor responses to surface and near-surface archaeological features vary under different environmental and land-management conditions. \u2018Identification\u2019 and \u2018quantification\u2019 concerns the differentiation of archaeological sediments from non-archaeological strata on the basis of remotely detected phenomena (resistivity, apparent dielectric permittivity, crop growth, thermal properties etc). DART is a data rich project: over a 14 month period in-situ soil moisture, soil temperature and weather data were collected at least once an hour, ground based geophysical surveys and spectro-radiometry transects were conducted at least monthly, aerial surveys collecting hyperspectral, LiDAR and traditional oblique and vertical photographs were taken throughout the year and laboratory analyses and tests were conducted on both soil and plant samples. The data archive itself is in the order of terabytes. Although analysis is ongoing there have been a number of methodological and modelling advances that will impact on:<\/p>\n