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  • light reflectance  (2)
  • 2020-2022  (2)
  • 1940-1944
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  • 2020-2022  (2)
  • 1940-1944
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  • 1
    facet.materialart.
    Unknown
    In:  http://aquaticcommons.org/id/eprint/1610 | 3 | 2011-09-29 20:18:05 | 1610 | Aquatic Plant Management Society, Inc.
    Publication Date: 2021-07-09
    Description: A study was conducted on a small pond in southeast Texasto evaluate the potential for using remote sensing technologyto assess feeding damage on giant salvinia (Salvinia molestaMitchell) by the salvinia weevil (Cyrtobagous salviniaeCalderand Sands). Field spectral measurements showed that moderatelydamaged and severely damaged plants had lower visibleand near-infrared reflectance values than healthy plants.Healthy, moderately damaged, and severely damaged giantsalvinia plants could be differentiated in an aerial color-infraredphotograph of the study site. Computer analysis of thephotograph showed that the three damage level classescould be quantified. (PDF has 5 pages.)
    Keywords: Management ; Biology ; Limnology ; light reflectance ; color-infrared photography ; Salvinia molesta ; Cyrtobagous salviniae ; biocontrol ; lakes ; Texas ; Bridge City
    Repository Name: AquaDocs
    Type: article , TRUE
    Format: application/pdf
    Format: application/pdf
    Format: 76-80
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  • 2
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    In:  http://aquaticcommons.org/id/eprint/1771 | 201 | 2011-09-29 20:05:46 | 1771 | Aquatic Plant Management Society, Inc.
    Publication Date: 2021-07-10
    Description: This paper describes the light reflectance characteristics ofwaterhyacinth [Eichhornia crassipes (Mort.) Solms] and hydrilla [Hydrilla verticillata (L.F.) Royle] and the application of airborned videography with global positioning system (GPS) and geographic information system (GIS) technologies for distinguishing and mapping the distribution of these two aquatic weeds in waterways of southern Texas. Field reflectance measurements made at several locations showed that waterhyacinth generally had higher near-infrared (NIR) reflectance than associated plant species and water. Hydrilla had lower NIR reflectance than associated plant species and higher NIR reflectance than water. Reflectance measurements made on hydrilla plants submerged below the water surface had similar spectral characteristics to water. Waterhyacinth and hydrilla could be distinguished in color-infrared (CIR) video imagery where they had bright orange-red and reddish-brown image responses, respectively. Computer analysis of the imagery showed that waterhyacinth and hydrilla infestaions could be quantified. An accuracy assessment performed on the classified image showed an overall accuracy of 87.7%. Integration of the GPS with the video imagery permitted latitude/longitude coordinates of waterhyacinth and hydrilla infestation to be recorded on each image. A portion of the Rio Grande River in extreme southern Texas was flown with the video system to detect waterhyacinth and hydrilla infestaions. The GPS coordinates on the CIR video scenes depicting waterhyacinth and hydrilla infestations were entered into a GIS to map the distribution of these two noxious weeds in the Rio Grande River.
    Keywords: Biology ; Environment ; waterhyacinth ; light reflectance ; aerial vidography ; hydrilla ; Hydrilla verticillata ; Eichhornia crassipes ; Rio Grande River ; Texas ; Texas ; global positioning system ; geographic information system ; aquatic weeds
    Repository Name: AquaDocs
    Type: article , TRUE
    Format: application/pdf
    Format: application/pdf
    Format: 71-80
    Location Call Number Expected Availability
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