303
Mitchell JJ, Glenn NF (2009) Leafy spurge (Euphorbia esula) classification performance
using hyperspectral and multispectral sensors. Rangel Ecol Manag 62:16–27. https://doi.
org/10.2111/08-100
Mitsch WJ, Gosselink JG (2007) Wetlands. Wiley, Hoboken
Mladinich CS, Bustos MR, Stitt S et al (2006) The use of Landsat 7 enhanced thematic mapper plus
for mapping leafy spurge. Rangel Ecol Manag 59:500–506. https://doi.org/10.2111/06-027R1.1
Moisan TAH, Sathyendranath S, Bouman HA (2012) Ocean color remote sensing of phytoplankton functional types. In: Fatoyinbo L (ed) Remote sensing of biomass-principles and applications. InTech, Croatia. https://doi.org/10.5772/17174
Mooney HA, Cleland EE (2001) The evolutionary impact of invasive species. Proc Natl Acad Sci
98:5446–5451. https://doi.org/10.1073/pnas.091093398
Morel A, Bélanger S (2006) Improved detection of turbid waters from ocean color sensors information. Remote Sens Environ 102:237–249. https://doi.org/10.1016/j.rse.2006.01.022
Mortensen DA, Rauschert ESJ, Nord AN, Jones BP (2009) Forest roads facilitate the spread of
invasive plants. Invasive Plant Sci Manag 2:191–199. https://doi.org/10.1614/ipsm-08-125.1
Mouw CB, Hardman-Mountford NJ, Alvain S et al (2017) A consumer’s guide to satellite remote
sensing of multiple phytoplankton groups in the global ocean. Front Mar Sci 4(41). https://doi.
org/10.3389/fmars.2017.00041
Muller-Karger FE, Hestir E, Ade C et al (2018) Satellite sensor requirements for monitoring
essential biodiversity variables of coastal ecosystems. Ecol Appl 28:749–760. https://doi.
org/10.1002/eap.1682
Murphy BP, Andersen AN, Parr CL (2016) The underestimated biodiversity of tropical grassy
biomes. Philos Trans R Soc B Biol Sci 371:20150319. https://doi.org/10.1098/rstb.2015.0319
Näsi R, Honkavaara E, Lyytikäinen-Saarenmaa P et al (2015) Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level. Remote Sens
7:15467–15493. https://doi.org/10.3390/rs71115467
National Invasive Species Council (2016) Management plan: 2016–2018. NISC, Washington, D.C.
Nelson SAC, Cheruvelil KS, Soranno PA (2006) Satellite remote sensing of freshwater macrophytes and the influence of water clarity. Aquat Bot 85:289–298. https://doi.org/10.1016/j.
aquabot.2006.06.003
Odermatt D, Gitelson A, Brando VE, Schaepman M (2012) Review of constituent retrieval in
optically deep and complex waters from satellite imagery. Remote Sens Environ 118:116–126.
https://doi.org/10.1016/j.rse.2011.11.013
Olenin S, Gollasch S, Jonušas S, Rimkutė I (2000) En-route investigations of plankton in ballast water
on a ship’s voyage from the Baltic Sea to the open Atlantic coast of Europe. Int Rev Hydrobiol,
85:577–596. https://doi.org/10.1002/1522-2632(200011)85:5/6<577::aid-iroh577>3.0.co;2-c
Olenina I, Wasmund N, Hajdu S et al (2010) Assessing impacts of invasive phytoplankton: the Baltic
Sea case. Mar Pollut Bull 60:1691–1700. https://doi.org/10.1016/j.marpolbul.2010.06.046
Ortiz SM, Breidenbach J, Kändler G (2013) Early detection of bark beetle green attack using
TerraSAR-X and RapidEye data. Remote Sens 5:1912–1931. https://doi.org/10.3390/
rs5041912
Paap T, Burgess TI, Wingfield MJ (2017) Urban trees: bridge-heads for forest pest invasions
and sentinels for early detection. Biol Invasions 19:3515–3526. https://doi.org/10.1007/
s10530-017-1595-x
Pearlstine L, Portier KM, Smith SE (2005) Textural discrimination of an invasive plant, Schinus
terebinthifolius, from low altitude aerial digital imagery. Photogramm Eng Remote Sens
71:289–298. https://doi.org/10.14358/PERS.71.3.289
Penk MR, Jeschke JM, Minchin D, Donohue I (2016) Warming can enhance invasion success through asymmetries in energetic performance. J Anim Ecol 85:419–426. https://doi.
org/10.1111/1365-2656.12480
Peterson EB (2005) Estimating cover of an invasive grass (Bromus tectorum) using tobit regression
and phenology derived from two dates of Landsat ETM + data. Int J Remote Sens 26:2491–
2507. https://doi.org/10.1080/01431160500127815
Phinn S, Roelfsema C, Dekker A et al (2008) Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multi-spectral and airborne hyper-spectral imaging systems
12 Remote Detection of Invasive Alien Species
Mitchell JJ, Glenn NF (2009) Leafy spurge (Euphorbia esula) classification performance
using hyperspectral and multispectral sensors. Rangel Ecol Manag 62:16–27. https://doi.
org/10.2111/08-100
Mitsch WJ, Gosselink JG (2007) Wetlands. Wiley, Hoboken
Mladinich CS, Bustos MR, Stitt S et al (2006) The use of Landsat 7 enhanced thematic mapper plus
for mapping leafy spurge. Rangel Ecol Manag 59:500–506. https://doi.org/10.2111/06-027R1.1
Moisan TAH, Sathyendranath S, Bouman HA (2012) Ocean color remote sensing of phytoplankton functional types. In: Fatoyinbo L (ed) Remote sensing of biomass-principles and applications. InTech, Croatia. https://doi.org/10.5772/17174
Mooney HA, Cleland EE (2001) The evolutionary impact of invasive species. Proc Natl Acad Sci
98:5446–5451. https://doi.org/10.1073/pnas.091093398
Morel A, Bélanger S (2006) Improved detection of turbid waters from ocean color sensors information. Remote Sens Environ 102:237–249. https://doi.org/10.1016/j.rse.2006.01.022
Mortensen DA, Rauschert ESJ, Nord AN, Jones BP (2009) Forest roads facilitate the spread of
invasive plants. Invasive Plant Sci Manag 2:191–199. https://doi.org/10.1614/ipsm-08-125.1
Mouw CB, Hardman-Mountford NJ, Alvain S et al (2017) A consumer’s guide to satellite remote
sensing of multiple phytoplankton groups in the global ocean. Front Mar Sci 4(41). https://doi.
org/10.3389/fmars.2017.00041
Muller-Karger FE, Hestir E, Ade C et al (2018) Satellite sensor requirements for monitoring
essential biodiversity variables of coastal ecosystems. Ecol Appl 28:749–760. https://doi.
org/10.1002/eap.1682
Murphy BP, Andersen AN, Parr CL (2016) The underestimated biodiversity of tropical grassy
biomes. Philos Trans R Soc B Biol Sci 371:20150319. https://doi.org/10.1098/rstb.2015.0319
Näsi R, Honkavaara E, Lyytikäinen-Saarenmaa P et al (2015) Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level. Remote Sens
7:15467–15493. https://doi.org/10.3390/rs71115467
National Invasive Species Council (2016) Management plan: 2016–2018. NISC, Washington, D.C.
Nelson SAC, Cheruvelil KS, Soranno PA (2006) Satellite remote sensing of freshwater macrophytes and the influence of water clarity. Aquat Bot 85:289–298. https://doi.org/10.1016/j.
aquabot.2006.06.003
Odermatt D, Gitelson A, Brando VE, Schaepman M (2012) Review of constituent retrieval in
optically deep and complex waters from satellite imagery. Remote Sens Environ 118:116–126.
https://doi.org/10.1016/j.rse.2011.11.013
Olenin S, Gollasch S, Jonušas S, Rimkutė I (2000) En-route investigations of plankton in ballast water
on a ship’s voyage from the Baltic Sea to the open Atlantic coast of Europe. Int Rev Hydrobiol,
85:577–596. https://doi.org/10.1002/1522-2632(200011)85:5/6<577::aid-iroh577>3.0.co;2-c
Olenina I, Wasmund N, Hajdu S et al (2010) Assessing impacts of invasive phytoplankton: the Baltic
Sea case. Mar Pollut Bull 60:1691–1700. https://doi.org/10.1016/j.marpolbul.2010.06.046
Ortiz SM, Breidenbach J, Kändler G (2013) Early detection of bark beetle green attack using
TerraSAR-X and RapidEye data. Remote Sens 5:1912–1931. https://doi.org/10.3390/
rs5041912
Paap T, Burgess TI, Wingfield MJ (2017) Urban trees: bridge-heads for forest pest invasions
and sentinels for early detection. Biol Invasions 19:3515–3526. https://doi.org/10.1007/
s10530-017-1595-x
Pearlstine L, Portier KM, Smith SE (2005) Textural discrimination of an invasive plant, Schinus
terebinthifolius, from low altitude aerial digital imagery. Photogramm Eng Remote Sens
71:289–298. https://doi.org/10.14358/PERS.71.3.289
Penk MR, Jeschke JM, Minchin D, Donohue I (2016) Warming can enhance invasion success through asymmetries in energetic performance. J Anim Ecol 85:419–426. https://doi.
org/10.1111/1365-2656.12480
Peterson EB (2005) Estimating cover of an invasive grass (Bromus tectorum) using tobit regression
and phenology derived from two dates of Landsat ETM + data. Int J Remote Sens 26:2491–
2507. https://doi.org/10.1080/01431160500127815
Phinn S, Roelfsema C, Dekker A et al (2008) Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multi-spectral and airborne hyper-spectral imaging systems
12 Remote Detection of Invasive Alien Species