Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events
Precise locations of commercial poultry operations are important to planning and response for animal health outbreaks and events. These data are not available nationally or uniformly in the United States. This project uses machine learning capabilities to identify and map commercial poultry operatio...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2020-12-01
|
| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/919 |
| _version_ | 1798023233378713600 |
|---|---|
| author | Susan Maroney MaryJane McCool-Eye Andrew Fox Christopher Burdett |
| author_facet | Susan Maroney MaryJane McCool-Eye Andrew Fox Christopher Burdett |
| author_sort | Susan Maroney |
| collection | DOAJ |
| description | Precise locations of commercial poultry operations are important to planning and response for animal health outbreaks and events. These data are not available nationally or uniformly in the United States. This project uses machine learning capabilities to identify and map commercial poultry operations from aerial imagery in seven south-eastern states in the United States. The output protocol uses an Object-Based Image Analysis (OBIA) approach, which identifies objects based on spectral signatures combined with spatial, contextual, and textural information. The protocol is a semi-automated and user-assisted process, meaning that the object identification routines require minimal user inputs or expertise. Using the protocol, we produced locations of likely commercial poultry operations in up to two counties in one workday, about two times faster than manual digitisation. The resulting datasets provide an estimate of the number and geographic distribution of commercial poultry operations to assist outbreak response by augmenting available knowledge in affected areas. |
| first_indexed | 2024-04-11T17:43:06Z |
| format | Article |
| id | doaj.art-23c941725d5742d79ac34e6b94d2a28e |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-04-11T17:43:06Z |
| publishDate | 2020-12-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-23c941725d5742d79ac34e6b94d2a28e2022-12-22T04:11:26ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962020-12-0115210.4081/gh.2020.919Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and eventsSusan Maroney0MaryJane McCool-Eye1Andrew Fox2Christopher Burdett3Department of Biology, Colorado State UniversityVeterinary Services, Center for Epidemiology and Animal Health, USDA APHIS, Fort Collins, COVeterinary Services, Center for Epidemiology and Animal Health, USDA APHIS, Fort Collins, CODepartment of Biology, Colorado State UniversityPrecise locations of commercial poultry operations are important to planning and response for animal health outbreaks and events. These data are not available nationally or uniformly in the United States. This project uses machine learning capabilities to identify and map commercial poultry operations from aerial imagery in seven south-eastern states in the United States. The output protocol uses an Object-Based Image Analysis (OBIA) approach, which identifies objects based on spectral signatures combined with spatial, contextual, and textural information. The protocol is a semi-automated and user-assisted process, meaning that the object identification routines require minimal user inputs or expertise. Using the protocol, we produced locations of likely commercial poultry operations in up to two counties in one workday, about two times faster than manual digitisation. The resulting datasets provide an estimate of the number and geographic distribution of commercial poultry operations to assist outbreak response by augmenting available knowledge in affected areas.https://geospatialhealth.net/index.php/gh/article/view/919OBIAmachine learningUSDAFeature Analystpoultry. |
| spellingShingle | Susan Maroney MaryJane McCool-Eye Andrew Fox Christopher Burdett Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events Geospatial Health OBIA machine learning USDA Feature Analyst poultry. |
| title | Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events |
| title_full | Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events |
| title_fullStr | Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events |
| title_full_unstemmed | Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events |
| title_short | Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events |
| title_sort | using object based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events |
| topic | OBIA machine learning USDA Feature Analyst poultry. |
| url | https://geospatialhealth.net/index.php/gh/article/view/919 |
| work_keys_str_mv | AT susanmaroney usingobjectbasedimageanalysistomapcommercialpoultryoperationsfromhighresolutionimagerytosupportanimalhealthoutbreaksandevents AT maryjanemccooleye usingobjectbasedimageanalysistomapcommercialpoultryoperationsfromhighresolutionimagerytosupportanimalhealthoutbreaksandevents AT andrewfox usingobjectbasedimageanalysistomapcommercialpoultryoperationsfromhighresolutionimagerytosupportanimalhealthoutbreaksandevents AT christopherburdett usingobjectbasedimageanalysistomapcommercialpoultryoperationsfromhighresolutionimagerytosupportanimalhealthoutbreaksandevents |