An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio
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| Language: | English |
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University of Toledo / OhioLINK
2014
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404730697 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-toledo14047306972021-08-03T06:25:46Z An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio Reynolds, Elaine P. Geography Agriculture agricultural drainage tile drainage tile field tile eCognition aerial imagery Since the first European settlers arrived in Northwest Ohio in the 1800s, methods have been devised to drain The Great Black Swamp and turn it into farmland. Agricultural field tiles, buried three to four feet below the surface are the most common method used for drainage. Records of where those tiles have been installed are not complete, so methods have been devised to identify their location using satellite imagery which, given the right conditions, will show variations in soil moisture above the tiles. This thesis analyzes an automated method to identify the tile locations from aerial imagery, using an Object Based Image Analysis (OBIA) software called eCognition. Results were obtained that strongly correlated with results obtained from hand-digitizing tile locations, ranging from 53% to 78% agreement. However, attempting to use an unmodified version of the ruleset from one field to analyze a different field was only successful for one out of five fields. For the other fields, the time spent selecting new samples and adjusting the parameters was often the same amount of time, and occasionally more, than the time it took to draw the tiles by hand. 2014 English text University of Toledo / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404730697 http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404730697 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Geography Agriculture agricultural drainage tile drainage tile field tile eCognition aerial imagery |
| spellingShingle |
Geography Agriculture agricultural drainage tile drainage tile field tile eCognition aerial imagery Reynolds, Elaine P. An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio |
| author |
Reynolds, Elaine P. |
| author_facet |
Reynolds, Elaine P. |
| author_sort |
Reynolds, Elaine P. |
| title |
An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio |
| title_short |
An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio |
| title_full |
An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio |
| title_fullStr |
An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio |
| title_full_unstemmed |
An Automated Method of Identifying the Location of Agricultural Field Drainage Tiles in Northwest Ohio |
| title_sort |
automated method of identifying the location of agricultural field drainage tiles in northwest ohio |
| publisher |
University of Toledo / OhioLINK |
| publishDate |
2014 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404730697 |
| work_keys_str_mv |
AT reynoldselainep anautomatedmethodofidentifyingthelocationofagriculturalfielddrainagetilesinnorthwestohio AT reynoldselainep automatedmethodofidentifyingthelocationofagriculturalfielddrainagetilesinnorthwestohio |
| _version_ |
1719436600033673216 |