caa a22 4500 467904243 CHVBK 20180406152829.0 cr unu---uuuuu 170328e20061001xx s 000 0 eng 10.1007/s10661-005-9106-4 doi (NATIONALLICENCE)springer-10.1007/s10661-005-9106-4 Mapping Invasive Aquatic Vegetation in the Sacramento-San Joaquin Delta using Hyperspectral Imagery [Elektronische Daten] [E. Underwood, M. Mulitsch, J. Greenberg, M. Whiting, S. Ustin, S. Kefauver] 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. Springer Science+Business Media, Inc., 2006 Brazilian waterweed nationallicence California nationallicence Egeria densa nationallicence Eichhornia crassipes nationallicence hyperspectral imagery nationallicence HyMap nationallicence remote sensing nationallicence submerged aquatic vegetation nationallicence spectral mixture analysis nationallicence water hyacinth nationallicence Underwood E. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut Mulitsch M. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut Greenberg J. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut Whiting M. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut Ustin S. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut Kefauver S. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut Environmental Monitoring and Assessment Springer Netherlands 121/1-3(2006-10-01), 47-64 0167-6369 121:1-3<47 2006 121 10661 https://doi.org/10.1007/s10661-005-9106-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-005-9106-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Underwood E. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut NATIONALLICENCE 700 1- Mulitsch M. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut NATIONALLICENCE 700 1- Greenberg J. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut NATIONALLICENCE 700 1- Whiting M. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut NATIONALLICENCE 700 1- Ustin S. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut NATIONALLICENCE 700 1- Kefauver S. Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, California, USA aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Springer Netherlands 121/1-3(2006-10-01), 47-64 0167-6369 121:1-3<47 2006 121 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer