Spring NEARC 2018 has ended
Welcome to the interactive web schedule for the 2018 Spring NEARC Conference! For tips on how to navigate this site, visit the "Helpful Info" section. To return to the NEARC website, go to: www.northeastarc.org/spring-nearc.html.

UPDATE AS OF MAY 16: Some of our presenters have made their slides or other resources available to download. Under the "Filter by Type" heading, click on "Presentation Slides Available" to view which ones have been posted. Check back for updates! 
Back To Schedule
Tuesday, May 8 • 8:00am - 5:00pm
POSTER: Rapid, Widespread Mosaicking and Orthorectification of Historic Aerial Photographs using Agisoft Photoscan

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

AUTHORS: Eli Egan-Anderson*, University of Connecticut; Dr. William Ouimet, University of Connecticut

ABSTRACT: Recent technological advances in automated image processing allows new information to be extrapolated from aerial photographs collected prior to the 1980s ? which are seldom orthorectified or mosaicked. In Connecticut alone, there are 4 statewide, unprocessed aerial photographs campaigns (1934, 1951/52, 1965 and 1970) that range in scale from ~1:5000 to 1:20000. For each campaign, individual, overlapping images are available online, but mosaics of multiple images that have been orthorectified to remove the distortion from the lens of the camera and the effects of topographic change do not. Here, we present the results of a study where we are using the software Agisoft Photoscan to automate spatial data processing, rapidly stitch together and orthorectify overlapping aerial photographs to create orthomosaics of large areas within Connecticut in 1934. We use multiple, easily identifiable features in both the aerial photography and LiDAR DEMs as geographically referenced control points. Photoscan orthomosaics are an accurate representation of the Earth's surface that preserve scale across the entire image, reliably allowing comparison with more recent datasets (e.g., 2016 Connecticut statewide 4 band orthoimagery and QL2 lidar). Once created, orthomosaics of past aerial photographs can be used to create land cover classifications that can be compared to more recent classifications (e.g., NLCD 2011 or Connecticut Land Cover maps made through CLEAR for 1985 to present). Overall, orthomosaics from aerial photographs collected prior to the 1980s has the potential to greatly improve our understanding of land use history and landscape change in Connecticut.

Tuesday May 8, 2018 8:00am - 5:00pm EDT
Laurel/McHugh Hall First Floor