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Landscape analyses are typically done using spatially explicit color aerial imagery. However, working with non-spatial black and white historical aerial photographs presents several challenges that require a combination of techniques and approaches. We analyzed 113 aerial images covering approx. 700 km2 (270 mi2) including all of Baltimore City, and a portion of Baltimore County surrounding the City. The images were taken between August 23rd 1952 and February 14th 1953. High-resolution scans were georeferenced and georectified against modern satellite imagery of the area and then combined to create a single raster mosaic. This process converted the images from a disparate set of photographs into a spatially explicit GIS data set that can be used to observe changes in land patches over time—and ultimately integrated with other long-term social, economic, and ecological data.
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Raw data collected during the RAPID reconnaissance mission to Mayfield in March 2022:RAPID: Mayfield, KY Post-Tornado Building Reconnaissance
Contained within this folder is an exhaustive collection of raw data that was obtained during the on-site data collection process. The data encompasses a range of sources, including aerial imagery, photographs, and LiDAR scans. Each of these sources provides unique information that, when combined, creates a highly detailed representation of the site in question. The aerial imagery captures an overview of the site from a bird's-eye perspective, while the photographs provide a more granular view of specific areas. The LiDAR scans, on the other hand, use laser technology to capture highly accurate data on the contours and elevations of the site. Together, these three sources of data provide a comprehensive understanding of the site that can be utilized for a variety of applications.Damage reconnaissance of historical buildings affected by tornado loading
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- Award ID(s):
- 2222849
- PAR ID:
- 10484790
- Publisher / Repository:
- Designsafe-CI
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Landscape analyses are typically done using spatially explicit color aerial imagery. However, working with non-spatial black and white historical aerial photographs presents several challenges that require a combination of techniques and approaches. We analyzed 93 aerial images covering 544 km2 (210 mi2) including all of Baltimore City, and an area immediately adjacent to the city known at the time as the Metropolitan District of Baltimore County. The images were taken from a biplane between October 1926 and February 1927. High-resolution scans were georeferenced and georectified against modern satellite imagery of the area and then combined to create a single raster mosaic. This process converted the images from a disparate set of photographs into a spatially explicit GIS data set that can be used to observe changes in land patches over time—and ultimately integrated with other long-term social, economic, and ecological data.more » « less
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