Everitt, J.H, C. Yang, D.E. Escobar, C.F. Webster, R.I. Lonard, and M.R. Davis, 1999. Using Remote Sensing and Spatial Information Technologies to Detect and Map Two Aquatic Macrophytes, USDA ARS Kika de la Garza.

Reprinted with Permission from Journal of Aquatic Plant Management (1999) 37: 71-80

Using Remote Sensing and Spatial Information Technologies to Detect and Map Two Aquatic Macrophytes

Abstract
This paper describes the light reflectance characteristics of waterhyacinth [Eichhornia crassipes (Mort.) Solms] and hydrilla [Hydrilla verticillata (L. F.) Royle] and the application of airborne 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 infestations 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 infestations 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 infestations. 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.

Entire Paper
Contact: James Everitt, USDA ARS Kika de la Garza, Integrated Farming and Natural Resources Research Unit, 2413 East Hwy. 83, Weslaco, TX 78596
Key Words: Hydrilla, Monitoring, Aquatic_plant_management
Product Type: Research, Control
User Type: Resource Management