Environmental Monitoring and Assessment

, Volume 121, Issue 1–3, pp 47–64

Mapping Invasive Aquatic Vegetation in the Sacramento-San Joaquin Delta using Hyperspectral Imagery

  • E. C. Underwood
  • M. J. Mulitsch
  • J. A. Greenberg
  • M. L. Whiting
  • S. L. Ustin
  • S. C. Kefauver
Article

DOI: 10.1007/s10661-005-9106-4

Cite this article as:
Underwood, E.C., Mulitsch, M.J., Greenberg, J.A. et al. Environ Monit Assess (2006) 121: 47. doi:10.1007/s10661-005-9106-4

Abstract

The ecological and economic impacts associated with invasive species are of critical concern to land managers. The ability to map the extent and severity of invasions would be a valuable contribution to management decisions relating to control and monitoring efforts. We investigated the use of hyperspectral imagery for mapping invasive aquatic plant species in the Sacramento-San Joaquin Delta in the Central Valley of California, at two spatial scales. Sixty-four flightlines of HyMap hyperspectral imagery were acquired over the study region covering an area of 2,139 km2 and field work was conducted to acquire GPS locations of target invasive species. We used spectral mixture analysis to classify two target invasive species; Brazilian waterweed (Egeria densa), a submerged invasive, and water hyacinth (Eichhornia crassipes), a floating emergent invasive. At the relatively fine spatial scale for five sites within the Delta (average size 51 ha) average classification accuracies were 93% for Brazilian waterweed and 73% for water hyacinth. However, at the coarser, Delta-wide scale (177,000 ha) these accuracy results were 29% for Brazilian waterweed and 65% for water hyacinth. The difference in accuracy is likely accounted for by the broad range in water turbidity and tide heights encountered across the Delta. These findings illustrate that hyperspectral imagery is a promising tool for discriminating target invasive species within the Sacramento-San Joaquin Delta waterways although more work is needed to develop classification tools that function under changing environmental conditions.

Keywords

Brazilian waterweed California Egeria densa Eichhornia crassipes hyperspectral imagery HyMap remote sensing submerged aquatic vegetation spectral mixture analysis water hyacinth 

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • E. C. Underwood
    • 1
    • 2
  • M. J. Mulitsch
    • 1
  • J. A. Greenberg
    • 1
    • 3
  • M. L. Whiting
    • 1
  • S. L. Ustin
    • 1
  • S. C. Kefauver
    • 1
  1. 1.Center for Spatial Technologies and Remote Sensing (CSTARS)University of CaliforniaDavisUSA
  2. 2.Department of Environmental Science and PolicyUniversity of California, DavisDavisUSA
  3. 3.NASA Ames Research CenterMoffett FieldUSA

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