302
Lass LW, Prather TS, Glenn NF et al (2005) A review of remote sensing of invasive weeds and
example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath
(Gypsophila paniculata) with a hyperspectral sensor. Weed Sci 53:242–251. https://doi.
org/10.1614/ws-04-044r2
Latham J, Cumani R, Rosati I, Bloise M (2014) Global Land Cover SHARE (GLC-SHARE) database Beta-Release Version 1.0
Latombe G, Pyšek P, Jeschke JM et al (2017) A vision for global monitoring of biological invasions. Biol Conserv 213:295–308. https://doi.org/10.1016/j.biocon.2016.06.013
Lawrence RL, Wood SD, Sheley RL (2006) Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (randomForest). Remote Sens Environ 100:356–362.
https://doi.org/10.1016/j.rse.2005.10.014
Levine JM (2000) Species diversity and biological invasions: relating local process to community
pattern. Science 288:852–854. https://doi.org/10.1126/science.288.5467.852
Liu L, Coops NC, Aven NW, Pang Y (2017) Mapping urban tree species using integrated airborne
hyperspectral and LiDAR remote sensing data. Remote Sens Environ 200:170–182. https://doi.
org/10.1016/j.rse.2017.08.010
Lowe S, Browne M, Boudjelas S, De Poorter M (2000) 100 of the world’s worst invasive alien species: a selection from the global invasive species database. Invasive Species Specialist Group,
Auckland
Lymburner L, Botha E, Hestir E et al (2016) Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter. Remote Sens Environ
185:108–118. https://doi.org/10.1016/j.rse.2016.04.011
Maheu-Giroux M, De Blois S (2005) Mapping the invasive species Phragmites australis in linear
wetland corridors. Aquat Bot 83:310–320. https://doi.org/10.1016/j.aquabot.2005.07.002
Malthus TJ, George DG (1997) Airborne remote sensing of macrophytes in Cefni Reservoir,
Anglesey, UK. Aquat Bot 58:317–332. https://doi.org/10.1016/S0304-3770(97)00043-0
Malthus TJ, Hestir EL, Dekker AG, Brando VE (2012) The case for a global inland water quality
product. In: 2012 IEEE international geoscience and remote sensing symposium (IGARSS),
Munich, July 2012. pp 5234–5237. https://doi.org/10.1109/igarss.2012.6352429
Marshall TR, Lee PF (1994). Mapping aquatic macrophytes through digital image analysis of
aerial photographs: an assessment. J Aquat Plant Manag, 32:61–66
Masters G, Norgrove L (2010) Climate change and invasive alien species. UK CABI Work Pap
1. https://www.cabi.org/Uploads/CABI/expertise/invasive-alien-species-working-paper.pdf.
Accessed 3 Dec 2018
Matthews MW (2011) A current review of empirical procedures of remote sensing in inland and
near-coastal transitional waters. Int J Remote Sens 32:6855–6899. https://doi.org/10.1080/01
431161.2010.512947
Maurel N, Salmon S, Ponge JF et al (2010) Does the invasive species Reynoutria japonica have
an impact on soil and flora in urban wastelands? Biol Invasions 12:1709–1719. https://doi.
org/10.1007/s10530-009-9583-4
Mayer-Pinto M, Johnston EL, Bugnot AB et al (2017) Building ‘blue’: an eco-engineering framework for foreshore developments. J Environ Manag 189:109–114. https://doi.org/10.1016/j.
jenvman.2016.12.039
McIntyre K, McLaren K, Prospere K (2018) Mapping shallow nearshore benthic features in
a Caribbean marine-protected area: assessing the efficacy of using different data types
(hydroacoustic versus satellite images) and classification techniques. Int J Remote Sens
39:1117–1150. https://doi.org/10.1080/01431161.2017.1395924
McLean P, Gallien L, Wilson JRU et al (2017) Small urban centres as launching sites for plant
invasions in natural areas: insights from South Africa. Biol Invasions 19:3541–3555. https://
doi.org/10.1007/s10530-017-1600-4
Menges RM, Nixon PR, Richardson AJ (1985) Light reflectance and remote sensing of weeds
in agronomic and horticultural crops. Weed Sci 33:569–581. https://doi.org/10.2307/4044150
Mertes LAK, Smith MO, Adams JB (1993) Estimating suspended sediment concentrations in
surface waters of the Amazon River wetlands from Landsat images. Remote Sens Environ
43:281–301. https://doi.org/10.1016/0034-4257(93)90071-5
E. A. Bolch et al.
Lass LW, Prather TS, Glenn NF et al (2005) A review of remote sensing of invasive weeds and
example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath
(Gypsophila paniculata) with a hyperspectral sensor. Weed Sci 53:242–251. https://doi.
org/10.1614/ws-04-044r2
Latham J, Cumani R, Rosati I, Bloise M (2014) Global Land Cover SHARE (GLC-SHARE) database Beta-Release Version 1.0
Latombe G, Pyšek P, Jeschke JM et al (2017) A vision for global monitoring of biological invasions. Biol Conserv 213:295–308. https://doi.org/10.1016/j.biocon.2016.06.013
Lawrence RL, Wood SD, Sheley RL (2006) Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (randomForest). Remote Sens Environ 100:356–362.
https://doi.org/10.1016/j.rse.2005.10.014
Levine JM (2000) Species diversity and biological invasions: relating local process to community
pattern. Science 288:852–854. https://doi.org/10.1126/science.288.5467.852
Liu L, Coops NC, Aven NW, Pang Y (2017) Mapping urban tree species using integrated airborne
hyperspectral and LiDAR remote sensing data. Remote Sens Environ 200:170–182. https://doi.
org/10.1016/j.rse.2017.08.010
Lowe S, Browne M, Boudjelas S, De Poorter M (2000) 100 of the world’s worst invasive alien species: a selection from the global invasive species database. Invasive Species Specialist Group,
Auckland
Lymburner L, Botha E, Hestir E et al (2016) Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter. Remote Sens Environ
185:108–118. https://doi.org/10.1016/j.rse.2016.04.011
Maheu-Giroux M, De Blois S (2005) Mapping the invasive species Phragmites australis in linear
wetland corridors. Aquat Bot 83:310–320. https://doi.org/10.1016/j.aquabot.2005.07.002
Malthus TJ, George DG (1997) Airborne remote sensing of macrophytes in Cefni Reservoir,
Anglesey, UK. Aquat Bot 58:317–332. https://doi.org/10.1016/S0304-3770(97)00043-0
Malthus TJ, Hestir EL, Dekker AG, Brando VE (2012) The case for a global inland water quality
product. In: 2012 IEEE international geoscience and remote sensing symposium (IGARSS),
Munich, July 2012. pp 5234–5237. https://doi.org/10.1109/igarss.2012.6352429
Marshall TR, Lee PF (1994). Mapping aquatic macrophytes through digital image analysis of
aerial photographs: an assessment. J Aquat Plant Manag, 32:61–66
Masters G, Norgrove L (2010) Climate change and invasive alien species. UK CABI Work Pap
1. https://www.cabi.org/Uploads/CABI/expertise/invasive-alien-species-working-paper.pdf.
Accessed 3 Dec 2018
Matthews MW (2011) A current review of empirical procedures of remote sensing in inland and
near-coastal transitional waters. Int J Remote Sens 32:6855–6899. https://doi.org/10.1080/01
431161.2010.512947
Maurel N, Salmon S, Ponge JF et al (2010) Does the invasive species Reynoutria japonica have
an impact on soil and flora in urban wastelands? Biol Invasions 12:1709–1719. https://doi.
org/10.1007/s10530-009-9583-4
Mayer-Pinto M, Johnston EL, Bugnot AB et al (2017) Building ‘blue’: an eco-engineering framework for foreshore developments. J Environ Manag 189:109–114. https://doi.org/10.1016/j.
jenvman.2016.12.039
McIntyre K, McLaren K, Prospere K (2018) Mapping shallow nearshore benthic features in
a Caribbean marine-protected area: assessing the efficacy of using different data types
(hydroacoustic versus satellite images) and classification techniques. Int J Remote Sens
39:1117–1150. https://doi.org/10.1080/01431161.2017.1395924
McLean P, Gallien L, Wilson JRU et al (2017) Small urban centres as launching sites for plant
invasions in natural areas: insights from South Africa. Biol Invasions 19:3541–3555. https://
doi.org/10.1007/s10530-017-1600-4
Menges RM, Nixon PR, Richardson AJ (1985) Light reflectance and remote sensing of weeds
in agronomic and horticultural crops. Weed Sci 33:569–581. https://doi.org/10.2307/4044150
Mertes LAK, Smith MO, Adams JB (1993) Estimating suspended sediment concentrations in
surface waters of the Amazon River wetlands from Landsat images. Remote Sens Environ
43:281–301. https://doi.org/10.1016/0034-4257(93)90071-5
E. A. Bolch et al.