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- W2533885387 abstract "Proactive management of invasive species in urban areas is critical to restricting their overall distribution. The objective of this work is to determine whether advanced remote sensing technologies can help to detect invasions effectively and efficiently in complex urban ecosystems such as parks. In Surrey, BC, Canada, Himalayan blackberry (Rubus armeniacus) and English ivy (Hedera helix) are two invasive shrub species that can negatively affect native ecosystems in cities and managed urban parks. Random forest (RF) models were created to detect these two species using a combination of hyperspectral imagery, and light detection and ranging (LiDAR) data. LiDAR-derived predictor variables included irradiance models, canopy structural characteristics, and orographic variables. RF detection accuracy ranged from 77.8 to 87.8% for Himalayan blackberry and 81.9 to 82.1% for English ivy, with open areas classified more accurately than areas under canopy cover. English ivy was predicted to occur across a greater area than Himalayan blackberry both within parks and across the entire city. Both Himalayan blackberry and English ivy were mostly located in clusters according to a Local Moran's I analysis. The occurrence of both species decreased as the distance from roads increased. This study shows the feasibility of producing highly accurate detection maps of plant invasions in urban environments using a fusion of remotely sensed data, as well as the ability to use these products to guide management decisions." @default.
- W2533885387 created "2016-10-28" @default.
- W2533885387 creator A5003442042 @default.
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- W2533885387 creator A5022913112 @default.
- W2533885387 creator A5031890649 @default.
- W2533885387 creator A5079840060 @default.
- W2533885387 date "2016-10-21" @default.
- W2533885387 modified "2023-10-02" @default.
- W2533885387 title "Invasive Shrub Mapping in an Urban Environment from Hyperspectral and LiDAR-Derived Attributes" @default.
- W2533885387 cites W127244001 @default.
- W2533885387 cites W1502810280 @default.
- W2533885387 cites W1541774929 @default.
- W2533885387 cites W1565635109 @default.
- W2533885387 cites W1582366473 @default.
- W2533885387 cites W1847336572 @default.
- W2533885387 cites W1918429809 @default.
- W2533885387 cites W1964220763 @default.
- W2533885387 cites W1968894504 @default.
- W2533885387 cites W1969214006 @default.
- W2533885387 cites W1971637299 @default.
- W2533885387 cites W1974525155 @default.
- W2533885387 cites W1978414573 @default.
- W2533885387 cites W1978598543 @default.
- W2533885387 cites W1979678339 @default.
- W2533885387 cites W1981646498 @default.
- W2533885387 cites W1987489538 @default.
- W2533885387 cites W1989696586 @default.
- W2533885387 cites W1992624715 @default.
- W2533885387 cites W1996475816 @default.
- W2533885387 cites W1996721947 @default.
- W2533885387 cites W1997510234 @default.
- W2533885387 cites W1998917483 @default.
- W2533885387 cites W2002290084 @default.
- W2533885387 cites W2004352236 @default.
- W2533885387 cites W2006248178 @default.
- W2533885387 cites W2008283621 @default.
- W2533885387 cites W2009214675 @default.
- W2533885387 cites W2010319424 @default.
- W2533885387 cites W2010374255 @default.
- W2533885387 cites W2011762871 @default.
- W2533885387 cites W2014072463 @default.
- W2533885387 cites W2017198972 @default.
- W2533885387 cites W2018831625 @default.
- W2533885387 cites W2021884109 @default.
- W2533885387 cites W2027242133 @default.
- W2533885387 cites W2030359906 @default.
- W2533885387 cites W2035257604 @default.
- W2533885387 cites W2038808306 @default.
- W2533885387 cites W2043520527 @default.
- W2533885387 cites W2046404820 @default.
- W2533885387 cites W2050191798 @default.
- W2533885387 cites W2052611179 @default.
- W2533885387 cites W2053034336 @default.
- W2533885387 cites W2056798697 @default.
- W2533885387 cites W2057983185 @default.
- W2533885387 cites W2065910099 @default.
- W2533885387 cites W2070608504 @default.
- W2533885387 cites W2071372050 @default.
- W2533885387 cites W2073209479 @default.
- W2533885387 cites W2077019961 @default.
- W2533885387 cites W2077138097 @default.
- W2533885387 cites W2080116978 @default.
- W2533885387 cites W2083190453 @default.
- W2533885387 cites W2085072564 @default.
- W2533885387 cites W2088626174 @default.
- W2533885387 cites W2089372326 @default.
- W2533885387 cites W2089806346 @default.
- W2533885387 cites W2091982790 @default.
- W2533885387 cites W2093402243 @default.
- W2533885387 cites W2095435405 @default.
- W2533885387 cites W2095654750 @default.
- W2533885387 cites W2097337758 @default.
- W2533885387 cites W2099553813 @default.
- W2533885387 cites W2101280078 @default.
- W2533885387 cites W2101405932 @default.
- W2533885387 cites W2103726450 @default.
- W2533885387 cites W2106134562 @default.
- W2533885387 cites W2108484081 @default.
- W2533885387 cites W2108554848 @default.
- W2533885387 cites W2109191549 @default.
- W2533885387 cites W2112675122 @default.
- W2533885387 cites W2113551198 @default.
- W2533885387 cites W2114093436 @default.
- W2533885387 cites W2118898434 @default.
- W2533885387 cites W2126544822 @default.
- W2533885387 cites W2131305829 @default.
- W2533885387 cites W2134717732 @default.
- W2533885387 cites W2137795315 @default.
- W2533885387 cites W2139053550 @default.
- W2533885387 cites W2139086914 @default.
- W2533885387 cites W2142659542 @default.
- W2533885387 cites W2147372455 @default.
- W2533885387 cites W2154269351 @default.
- W2533885387 cites W2165909749 @default.
- W2533885387 cites W2166307050 @default.
- W2533885387 cites W2168519756 @default.
- W2533885387 cites W2168964286 @default.
- W2533885387 cites W2171669751 @default.