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A semi-automated workflow for processing historic aerial
photography
Abstract:
Libraries, museums and archives were the original big geospatial information repositories that to this day house thousands
to millions of resources containing research-quality geographic information
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Fortunately, contemporary big data tools
and methods can help with the large-scale conversion of historic resources into structured datasets for mapping and spatial
analysis
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Photographs authentically encoded information about past places and time-periods without the thematic focus and
cartographic generalization of historic print maps
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e
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), that is useful to a broad spectrum of research projects
and other applications
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e
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e
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The capture of aerial photographs in the contiguous United States (U
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) became common in the 1920s and was formalized
in government programs to systematically photograph the nation at regular time intervals beginning in the 1930s
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S
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Large collections of photographs include government (e
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the U
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Department of Agriculture Aerial
Photography Field Office “The Vault” – over 10 million photographs), educational (e
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the University of California
Santa Barbara Library – approximately 2
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g
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Collectively these
photography resources constitute an untapped big geospatial data resource
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S
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e
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What is more, satellite imagery sensors have improved to the point that there is now overlap between satellite imagery
and aerial photography in terms of many of their technical specifications (i
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spatial resolution etc
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Manual methods to process photographs are well-known, but are too labour intensive to apply to entire photography
collections
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Karel et al
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S
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In a pilot test area of 94 photographs in the U
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state of Pennsylvania, the
workflow was found to be nearly 100-times more efficient than commonly employed alternatives while achieving greater
horizontal positional accuracy
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Finally, initial results of the workflow
were incorporated into several existing online discovery and sharing platforms that will be highlighted in this presentation
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e
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Abstracts of the International Cartographic Association, 1, 2019
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CC BY 4
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29th International Cartographic Conference (ICC 2019), 15–20 July 2019, Tokyo, Japan | https://doi
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5194/ica-abs-1-299-2019



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