Automated identification of intensive animal production locations from aerial photography

Australian Veterinary Journal
K J SheffieldH Lewis

Abstract

Successful control of an emergency animal disease outbreak requires the timely and accurate identification of properties of interest. The identification of commercial piggeries within study areas in the Goulburn-Murray Irrigation District in Victoria, Australia, is used to demonstrate the innovative application of object-based image analysis (OBIA) techniques for the identification of intensive animal production land uses, to improve the accuracy of existing datasets. Characteristics of infrastructure and landscape features were combined to form a commercial piggery identification algorithm. These criteria were applied to recent aerial photography that had been classified using OBIA techniques. The results were then compared with three datasets containing known commercial piggery locations and visually checked by roadside surveys. The OBIA technique identified 21 potential piggery locations across three study areas, 14 of which were identified in existing databases. Of the 7 additional sites, 4 were dairy properties, 1 was a cropping and sheep property and 2 were previously undocumented piggery locations. The OBIA approach has potential of OBIA for identifying the locations of commercial piggeries. Further development and testi...Continue Reading

References

Jul 19, 2011·Agriculture, Ecosystems & Environment·Diann J ProsserMarius Gilbert
Aug 9, 2011·Agriculture, Ecosystems & Environment·Thomas P Van BoeckelMarius Gilbert
Feb 11, 2012·Agriculture, Ecosystems & Environment·Thomas P Van BoeckelMarius Gilbert
Mar 14, 2014·ISPRS Journal of Photogrammetry and Remote Sensing : Official Publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)·Thomas BlaschkeDirk Tiede
May 31, 2014·PloS One·Timothy P RobinsonMarius Gilbert
Nov 26, 2015·Scientific Data·Elizabeth Morse-McNabbSteve Williams
Oct 8, 2016·BMC Veterinary Research·Weerapong ThanapongtharmMarius Gilbert

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