Name: Cambria County PA Aerial Photos 2001

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Description: The aerial photos were captured in the Spring 2001 by LR Kimball Aerial Photography for Cambria County. These photos were given to the Donald W. Hamer Center for Maps and Geospatial Information in 2017. The 1414 photos were flown at four different scales (1:500, 1:600, 1:1000, 1:2000) with varied coverage areas of Cambria County. These were scanned at 800dpi on an Epson Expression 11000 scanner by the Donald W. Hamer Center for Maps and Geospatial Information staff. This collection lacked an index. Approximate historic aerial photo center points were generated by staff of the Donald W. Hamer Center for Maps and Geospatial Information (https://libraries.psu.edu/maps). Photos were aligned and georeferenced in three dimensions using Agisoft Metashape using a minimum number of ground control points, typically between 5 and 12 depending on the size of the project. Estimates of each camera pose, including geographic coordinates, were then exported as a center point index to the historic aerial photography collection. This center point index is intended to facilitate discovery and access, but not for research purposes. Where photography collections facilitated the generation of high-quality seamless mosaics, these were produced to common research standards and made available along with center point indexes. Please use orthomosaics for measurement, comparison with imagery of other time-periods and other common tasks performed in a geographic information system (GIS). For more information on the methods used to generate center point indexes, orthomosaics, and/or to cite this work please see the below reference: Nathan B. Piekielek, Grace Brittany Waltemate and Karen Schuckman (2022) Evaluating Software Tools to Orthorectify Archival Aerial Photographs, Journal of Map and Geography Libraries, 18:3, 209-229, DOI: 10.1080/15420353.2023.2219257. Historic aerial photograph tile indexes were generated by staff of the Donald W. Hamer Center for Maps and Geospatial Information in ESRI ArcGIS Pro. Each tile Index is based on the collection’s center point index. Photo tile size and rotation were estimated using sample georeferenced photos.

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