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The purpose of this paper is to describe the procedure for near-automation of the most commonly used manual georeferencing technique in a desktop GIS environment for historic aerial photographs strip in library archives.

Most of the archived historic aerial photography consists of series of aerial photographs that overlap to some extent, as the optimal overlap ratio is known as 60 percent by photogrammetric standard. Therefore, conjugate points can be detected for the overlapping area. The first image was georeferenced manually by six-parameter affine transformation using 2013 National Agriculture Imagery Program images as ground truths. Then, conjugate points were detected in the first and second images using Speeded Up Robust Features and Random Sample Consensus. The ground space coordinates of conjugate points were estimated using the first image’s six parameters. Then the second image’s six parameters were calculated using conjugate points’ ground space coordinates and pixel coordinates in the second image. This procedure was repeated until the last image was georeferenced. However, error accumulated as the number of photographs increased. Therefore, another six-parameter affine transformation was implemented using control points in the first, middle, and last images. Finally, the images were warped using open source GIS tools.

The result shows that historic aerial strip collections can be georeferenced with far less time and labor using the technique proposed compared with the traditional manual georeferencing technique in a desktop GIS environment.

The suggested approach will promote the usage of historic aerial photographs for various scientific purposes including land use and land cover change detection, soil erosion pattern recognition, agricultural practices change analysis, environmental improvement assessment, and natural habitat change detection.

Most commonly used georeferencing procedures for historic aerial photographs in academic libraries require significant time and effort for manual measurement of conjugate points in the object images and the ground truth images. By maximizing the automation of georeferencing procedures, the suggested approach will save significant time and effort of library workforce.

With the suggested approach, large numbers of historic aerial photographs can be rapidly georeferenced. This will allow libraries to provide more geospatial data to scientific communities.

This is a unique approach to rapid georeferencing of historic aerial photograph strips.

The purpose of this paper is to explore library research that uses geographic information systems (GIS) as a tool to evaluate library services and resources to ascertain current trends and establish future directions for this growing research area.

The study searched full text for geographic information systems in two databases: Library and Information Science Source (LISS) and Library, Information Science and Technology Abstracts (LISTA), replicating the method used in a prior literature review. The titles and abstracts of the search results were analyzed to gather only the research that used GIS as a tool to measure and analyze library services.

This study found growth in the last decade for library research using GIS. There remain two ways the tool is primarily used: to analyze service areas and to manage facilities and collections.

The findings are relevant for library and information science researchers and practitioners because they summarize a specific area of research that has grown and changed and that still has potential to be used more widely. Using GIS in practice and research could benefit all library users and nonusers because spatial analysis facilitates more precise and informed delivery of services and resources.

The paper provides future directions for use of GIS in library research and attempts to define subdivisions within this research area to clarify the area for researchers and practitioners.