Flowering leafy spurge (Euphorbia esula) detection using unmanned aerial vehicle imagery in biological control sites: Impacts of flight height, flight time and detection method
Leafy spurge, a noxious perennial weed, is a major threat to the prairie ecosystem in North America. Strategic planning to control leafy spurge requires monitoring its spatial distribution and spread. The ability to detect flowering leafy spurge at two biological control sites in southern Saskatchew...
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Veröffentlicht in: | Weed technology 2020-08, Vol.34 (4), p.575-588 |
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description | Leafy spurge, a noxious perennial weed, is a major threat to the prairie ecosystem in North America. Strategic planning to control leafy spurge requires monitoring its spatial distribution and spread. The ability to detect flowering leafy spurge at two biological control sites in southern Saskatchewan, Canada, was investigated using an unmanned aerial vehicle (UAV) system. Three flight missions were conducted on June 30, 2016, during the leafy spurge flowering period. Imagery was acquired at four flight heights and one or two acquisition times, depending on the site. The sites were reflown on June 28, 2017, to evaluate the change in flowering leafy spurge over time. Mixture tuned matched filtering (MTMF) and hue, intensity, and saturation (HIS) threshold analyses were used to determine flowering leafy spurge cover. Flight height of 30 m was optimal; the strongest relationships between UAV and ground estimates of leafy spurge cover (r2 = 0.76 to 0.90; normalized root mean square error [NRMSE] = 0.10 to 0.13) and stem density (r2 = 0.72 to 0.75) were observed. Detection was not significantly affected by the image analysis method (P > 0.05). Flowering leafy spurge cover estimates were similar using HIS (1.9% to 14.8%) and MTMF (2.1% to 10.3%) and agreed with the ground estimates (using HIS: r2 = 0.64 to 0.93, NRMSE = 0.08 to 0.25; using MTMF: r2 = 0.64 to 0.90, NRMSE = 0.10 to 0.27). The reduction in flowering leafy spurge cover between 2016 and 2017 detected using UAV images and HIS (8.1% at site 1 and 2.7% at site 2) was consistent with that based on ground digital photographs (10% at site 1 and 1.8% at site 2). UAV imagery is a useful tool for accurately detecting flowering leafy spurge and could be used for routine monitoring purposes in a biological control program. Nomenclature: Leafy spurge, Euphorbia esula L. EPHES |
doi_str_mv | 10.1017/wet.2020.8 |
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Strategic planning to control leafy spurge requires monitoring its spatial distribution and spread. The ability to detect flowering leafy spurge at two biological control sites in southern Saskatchewan, Canada, was investigated using an unmanned aerial vehicle (UAV) system. Three flight missions were conducted on June 30, 2016, during the leafy spurge flowering period. Imagery was acquired at four flight heights and one or two acquisition times, depending on the site. The sites were reflown on June 28, 2017, to evaluate the change in flowering leafy spurge over time. Mixture tuned matched filtering (MTMF) and hue, intensity, and saturation (HIS) threshold analyses were used to determine flowering leafy spurge cover. Flight height of 30 m was optimal; the strongest relationships between UAV and ground estimates of leafy spurge cover (r2 = 0.76 to 0.90; normalized root mean square error [NRMSE] = 0.10 to 0.13) and stem density (r2 = 0.72 to 0.75) were observed. Detection was not significantly affected by the image analysis method (P > 0.05). Flowering leafy spurge cover estimates were similar using HIS (1.9% to 14.8%) and MTMF (2.1% to 10.3%) and agreed with the ground estimates (using HIS: r2 = 0.64 to 0.93, NRMSE = 0.08 to 0.25; using MTMF: r2 = 0.64 to 0.90, NRMSE = 0.10 to 0.27). The reduction in flowering leafy spurge cover between 2016 and 2017 detected using UAV images and HIS (8.1% at site 1 and 2.7% at site 2) was consistent with that based on ground digital photographs (10% at site 1 and 1.8% at site 2). UAV imagery is a useful tool for accurately detecting flowering leafy spurge and could be used for routine monitoring purposes in a biological control program. Nomenclature: Leafy spurge, Euphorbia esula L. EPHES</description><identifier>ISSN: 0890-037X</identifier><identifier>EISSN: 1550-2740</identifier><identifier>DOI: 10.1017/wet.2020.8</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Accuracy ; Biological control ; Biomonitoring ; Cattle industry ; Estimates ; Euphorbia esula ; Flight ; Flight time ; Flowering ; fractional cover ; hue, intensity, and saturation ; Image acquisition ; Image analysis ; Image processing ; Leafy spurge ; Loam soils ; mixture tuned matched filter ; Saturation (color) ; Spatial distribution ; spatial resolution ; stem density ; Unmanned aerial vehicles ; Vegetation ; Weeds</subject><ispartof>Weed technology, 2020-08, Vol.34 (4), p.575-588</ispartof><rights>Her Majesty the Queen in Right of Canada as represented by the Minister of Agriculture and Agri-Food Canada 2020.</rights><rights>Her Majesty the Queen in Right of Canada as represented by the Minister of Agriculture and Agri-Food Canada 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b314t-82d869bb49f85c81e9960543d778f54dce78127025b4830fbd8a768ecb32ee233</citedby><cites>FETCH-LOGICAL-b314t-82d869bb49f85c81e9960543d778f54dce78127025b4830fbd8a768ecb32ee233</cites><orcidid>0000-0002-6842-6898</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27002706$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27002706$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27923,27924,58016,58249</link.rule.ids></links><search><creatorcontrib>Yang, Xiaohui</creatorcontrib><creatorcontrib>Smith, Anne M</creatorcontrib><creatorcontrib>Bourchier, Robert S</creatorcontrib><creatorcontrib>Hodge, Kim</creatorcontrib><creatorcontrib>Ostrander, Dustin</creatorcontrib><title>Flowering leafy spurge (Euphorbia esula) detection using unmanned aerial vehicle imagery in biological control sites: Impacts of flight height, flight time and detection method</title><title>Weed technology</title><addtitle>Weed Technol</addtitle><description>Leafy spurge, a noxious perennial weed, is a major threat to the prairie ecosystem in North America. Strategic planning to control leafy spurge requires monitoring its spatial distribution and spread. The ability to detect flowering leafy spurge at two biological control sites in southern Saskatchewan, Canada, was investigated using an unmanned aerial vehicle (UAV) system. Three flight missions were conducted on June 30, 2016, during the leafy spurge flowering period. Imagery was acquired at four flight heights and one or two acquisition times, depending on the site. The sites were reflown on June 28, 2017, to evaluate the change in flowering leafy spurge over time. Mixture tuned matched filtering (MTMF) and hue, intensity, and saturation (HIS) threshold analyses were used to determine flowering leafy spurge cover. Flight height of 30 m was optimal; the strongest relationships between UAV and ground estimates of leafy spurge cover (r2 = 0.76 to 0.90; normalized root mean square error [NRMSE] = 0.10 to 0.13) and stem density (r2 = 0.72 to 0.75) were observed. Detection was not significantly affected by the image analysis method (P > 0.05). Flowering leafy spurge cover estimates were similar using HIS (1.9% to 14.8%) and MTMF (2.1% to 10.3%) and agreed with the ground estimates (using HIS: r2 = 0.64 to 0.93, NRMSE = 0.08 to 0.25; using MTMF: r2 = 0.64 to 0.90, NRMSE = 0.10 to 0.27). The reduction in flowering leafy spurge cover between 2016 and 2017 detected using UAV images and HIS (8.1% at site 1 and 2.7% at site 2) was consistent with that based on ground digital photographs (10% at site 1 and 1.8% at site 2). UAV imagery is a useful tool for accurately detecting flowering leafy spurge and could be used for routine monitoring purposes in a biological control program. Nomenclature: Leafy spurge, Euphorbia esula L. EPHES</description><subject>Accuracy</subject><subject>Biological control</subject><subject>Biomonitoring</subject><subject>Cattle industry</subject><subject>Estimates</subject><subject>Euphorbia esula</subject><subject>Flight</subject><subject>Flight time</subject><subject>Flowering</subject><subject>fractional cover</subject><subject>hue, intensity, and saturation</subject><subject>Image acquisition</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Leafy spurge</subject><subject>Loam soils</subject><subject>mixture tuned matched filter</subject><subject>Saturation (color)</subject><subject>Spatial distribution</subject><subject>spatial resolution</subject><subject>stem density</subject><subject>Unmanned aerial vehicles</subject><subject>Vegetation</subject><subject>Weeds</subject><issn>0890-037X</issn><issn>1550-2740</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kU1rFTEUhoNY8Nq6cS8E3FRxrieZr0x3UlotFLqp4G7IZM7M5JJJxiRjuf_Kn2iGq-LKxeFweJ_zwXkJec1gz4DVH58w7jlw2ItnZMfKEjJeF_Cc7EA0kEFef3tBXoZwAGAV57AjP2-Ne0Kv7UgNyuFIw7L6EenlzbpMzndaUgyrke9ojxFV1M7SNWz4amdpLfZUpnZp6A-ctDJI9SxH9EeqLe20M27UKqnK2eidoUFHDFf0bl6kioG6gQ5Gj1OkE27pw58y6hmptP0_a2eMk-svyNkgTcBXv_M5-Xp783j9Jbt_-Hx3_ek-63JWxEzwXlRN1xXNIEolGDZNBWWR93UthrLoFdaC8Rp42RUih6HrhawrgarLOSLP83Py9jR38e77iiG2B7d6m1a2vCigzBtgG_X-RCnvQvA4tItPD_DHlkG7OdImR9rNkVYk-M0JPoTo_F8yXQEpqqRfnvT0N2fxf6N-ARXWmJ8</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Yang, Xiaohui</creator><creator>Smith, Anne M</creator><creator>Bourchier, Robert S</creator><creator>Hodge, Kim</creator><creator>Ostrander, Dustin</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-6842-6898</orcidid></search><sort><creationdate>20200801</creationdate><title>Flowering leafy spurge (Euphorbia esula) detection using unmanned aerial vehicle imagery in biological control sites: Impacts of flight height, flight time and detection method</title><author>Yang, Xiaohui ; Smith, Anne M ; Bourchier, Robert S ; Hodge, Kim ; Ostrander, Dustin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b314t-82d869bb49f85c81e9960543d778f54dce78127025b4830fbd8a768ecb32ee233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Biological control</topic><topic>Biomonitoring</topic><topic>Cattle industry</topic><topic>Estimates</topic><topic>Euphorbia esula</topic><topic>Flight</topic><topic>Flight time</topic><topic>Flowering</topic><topic>fractional cover</topic><topic>hue, intensity, and saturation</topic><topic>Image acquisition</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Leafy spurge</topic><topic>Loam soils</topic><topic>mixture tuned matched filter</topic><topic>Saturation (color)</topic><topic>Spatial distribution</topic><topic>spatial resolution</topic><topic>stem density</topic><topic>Unmanned aerial vehicles</topic><topic>Vegetation</topic><topic>Weeds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Xiaohui</creatorcontrib><creatorcontrib>Smith, Anne M</creatorcontrib><creatorcontrib>Bourchier, Robert S</creatorcontrib><creatorcontrib>Hodge, Kim</creatorcontrib><creatorcontrib>Ostrander, Dustin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Weed technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Xiaohui</au><au>Smith, Anne M</au><au>Bourchier, Robert S</au><au>Hodge, Kim</au><au>Ostrander, Dustin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flowering leafy spurge (Euphorbia esula) detection using unmanned aerial vehicle imagery in biological control sites: Impacts of flight height, flight time and detection method</atitle><jtitle>Weed technology</jtitle><stitle>Weed Technol</stitle><date>2020-08-01</date><risdate>2020</risdate><volume>34</volume><issue>4</issue><spage>575</spage><epage>588</epage><pages>575-588</pages><issn>0890-037X</issn><eissn>1550-2740</eissn><abstract>Leafy spurge, a noxious perennial weed, is a major threat to the prairie ecosystem in North America. Strategic planning to control leafy spurge requires monitoring its spatial distribution and spread. The ability to detect flowering leafy spurge at two biological control sites in southern Saskatchewan, Canada, was investigated using an unmanned aerial vehicle (UAV) system. Three flight missions were conducted on June 30, 2016, during the leafy spurge flowering period. Imagery was acquired at four flight heights and one or two acquisition times, depending on the site. The sites were reflown on June 28, 2017, to evaluate the change in flowering leafy spurge over time. Mixture tuned matched filtering (MTMF) and hue, intensity, and saturation (HIS) threshold analyses were used to determine flowering leafy spurge cover. Flight height of 30 m was optimal; the strongest relationships between UAV and ground estimates of leafy spurge cover (r2 = 0.76 to 0.90; normalized root mean square error [NRMSE] = 0.10 to 0.13) and stem density (r2 = 0.72 to 0.75) were observed. Detection was not significantly affected by the image analysis method (P > 0.05). Flowering leafy spurge cover estimates were similar using HIS (1.9% to 14.8%) and MTMF (2.1% to 10.3%) and agreed with the ground estimates (using HIS: r2 = 0.64 to 0.93, NRMSE = 0.08 to 0.25; using MTMF: r2 = 0.64 to 0.90, NRMSE = 0.10 to 0.27). The reduction in flowering leafy spurge cover between 2016 and 2017 detected using UAV images and HIS (8.1% at site 1 and 2.7% at site 2) was consistent with that based on ground digital photographs (10% at site 1 and 1.8% at site 2). UAV imagery is a useful tool for accurately detecting flowering leafy spurge and could be used for routine monitoring purposes in a biological control program. Nomenclature: Leafy spurge, Euphorbia esula L. EPHES</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><doi>10.1017/wet.2020.8</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-6842-6898</orcidid></addata></record> |
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subjects | Accuracy Biological control Biomonitoring Cattle industry Estimates Euphorbia esula Flight Flight time Flowering fractional cover hue, intensity, and saturation Image acquisition Image analysis Image processing Leafy spurge Loam soils mixture tuned matched filter Saturation (color) Spatial distribution spatial resolution stem density Unmanned aerial vehicles Vegetation Weeds |
title | Flowering leafy spurge (Euphorbia esula) detection using unmanned aerial vehicle imagery in biological control sites: Impacts of flight height, flight time and detection method |
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