{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:39:10Z","timestamp":1760243950191,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2010,10,19]],"date-time":"2010-10-19T00:00:00Z","timestamp":1287446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Giant Salvinia (Salvinia molesta) is one of the world\u2019s most invasive aquatic weeds. We evaluated the accuracy of airborne multispectral digital video imagery for separating giant salvinia from other aquatic and terrestrial features at a study site located in northeast, Texas. The five-band multispectral digital video imagery was subjected to an unsupervised computer analysis to derive a thematic map of the infested area. User\u2019s and producer\u2019s accuracies of the giant salvinia class were 74.6% and 87.2%, respectively. Aerial multispectral digital videography has potential as a remote sensing tool for differentiating giant salvinia from other terrestrial and aquatic features.<\/jats:p>","DOI":"10.3390\/rs2102413","type":"journal-article","created":{"date-parts":[[2010,10,19]],"date-time":"2010-10-19T11:51:56Z","timestamp":1287489116000},"page":"2413-2423","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Evaluating Airborne Multispectral Digital Video to Differentiate Giant Salvinia from Other Features in Northeast Texas"],"prefix":"10.3390","volume":"2","author":[{"given":"Reginald S.","family":"Fletcher","sequence":"first","affiliation":[{"name":"USDA-ARS, Kika de la Garza Subtropical Agricultural Research Center, 2413 E. Hwy. 83, Weslaco, TX 78596, USA"}]},{"given":"James H.","family":"Everitt","sequence":"additional","affiliation":[{"name":"USDA-ARS, Kika de la Garza Subtropical Agricultural Research Center, 2413 E. Hwy. 83, Weslaco, TX 78596, USA"}]},{"given":"Howard S.","family":"Elder","sequence":"additional","affiliation":[{"name":"Texas Parks and Wildlife Department, Rt. 2, Box 535, Jasper, TX 75951, USA"}]}],"member":"1968","published-online":{"date-parts":[[2010,10,19]]},"reference":[{"key":"ref_1","unstructured":"Westbrooks, R. (1998). Invasive Plants, Changing the Landscape of America: Fact Book, FICMNEW."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.ecolecon.2004.10.002","article-title":"Update on the environmental and economic costs associated with alien-invasive species in the United States","volume":"52","author":"Pimentel","year":"2005","journal-title":"Ecol. Econ."},{"key":"ref_3","unstructured":"Joshi, C.M., de Leeuw, J., and van Duren, I.C. (, January July). Remote sensing and GIS applications for mapping and spatial modeling of invasive species. 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