119
Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J., Duke, N.: Status
and distribution of mangrove forests of the world using earth observation satellite data. Glob.
Ecol. Biogeogr. 20(1), 154–159 (2011)
He, K.S., Rocchini, D., Neteler, M., Nagendra, H.: Benefits of hyperspectral remote sensing for
tracking plant invasions. Divers. Distrib. 17(3), 381–392 (2011)
Hunt, E.R., Daughtry, C.S.T., Eitel, J.U.H., Long, D.S.: Remote sensing leaf chlorophyll content
using a visible band index. Agron. J. 103(4), 1090–1099 (2011)
Index Database: Index Database Website, URL: http://www.indexdatabase.de/ (2016)
Laba, M., Downs, R., Smith, S., Welsh, S., Neider, C., White, S., Richmond, M., Philpot, W.,
Baveye, P.: Mapping invasive wetland plants in the Hudson river national estuarine research
reserve using Quickbird satellite imagery. Remote Sens. Environ. 112(1), 286–300 (2008)
Landgrebe, D.A.: Signal Theory Methods in Multispectral Remote Sensing. Wiley, New York
(2003)
Langley, S.K., Cheshire, H.M., Humes, K.S.: A comparison of single date and multi-temporal
satellite image classifications in a semi-arid grassland. J. Arid Environ. 49(2), 401–411 (2001)
Lieth, H. The phenological viewpoint in productivity studies. In: Productivity of Forest Ecosystems.
Proceedings of the Brussels Symposium by UNESCO, pp. 71–83 (1971)
Liu, S., Liu, R., Liu, Y.: Spatial and temporal variation of global lai during 1981–2006. J. Geogr.
Sci. 20(3), 323–332 (2010)
Lucas, R., Rowlands, A., Brown, A., Keyworth, S., Bunting, P.: Rule-based classification of
multi-temporal satellite imagery for habitat and agricultural land cover mapping. ISPRS
J. Photogramm. Remote Sens. 62(3), 165–185 (2007)
Lucas, R., Medcalf, K., Brown, A., Bunting, P., Breyer, J., Clewley, D., Keyworth, S., Blackmore,
P.: Updating the Phase 1 habitat map of Wales, UK, using satellite sensor data. ISPRS
J. Photogramm. Remote Sens. 66(1), 81–102 (2011)
Lucas, R., Blonda, P., Bunting, P., Jones, G., Inglada, J., Arias, M., Kosmidou, V., Petrou, Z.I.,
Manakos, I., Adamo, M., Charnock, R., Tarantino, C., Mücher, C.A., Jongman, R.H.G.,
Kramer, H., Arvor, D., Honrado, J.P., Mairota, P.: The Earth Observation Data for Habitat
Monitoring (EODHaM) system. Int. J. Appl. Earth Obs. Geoinf. 37, 17–28 (2015)
MacAlister, C., Mahaxay, M.: Mapping wetlands in the lower Mekong Basin for wetland resource
and conservation management using Landsat ETM+ images and field survey data. J. Environ.
Manag. 90(7), 2130–2137 (2009)
Marceau, D.J., Howarth, P.J., Gratton, D.J.: Remote sensing and the measurement of geographical
entities in a forested environment. 1. The scale and spatial aggregation problem. Remote Sens.
Environ. 49(2), 93–104 (1994)
McDermid, G.J., Franklin, S.E., LeDrew, E.F.: Remote sensing for large-area habitat mapping.
Prog. Phys. Geogr. 29(4), 449–474 (2005)
Medcalf, K.A., Parker, J.A., Turton, N., Bell, G.: Making Earth Observation Work for UK
Biodiversity Conservation Phase 1, JNCC Report, 495. Joint Nature Conservation Committee,
Peterborough (2014)
Menzel, A.: Phenology: its importance to the global change community. Clim. Chang. 54(4),
379–385 (2002)
Mountrakis, G., Im, J., Ogole, C.: Support vector machines in remote sensing: a review. ISPRS
J. Photogramm. Remote Sens. 66, 247–259 (2011)
Nagendra, H.: Using remote sensing to assess biodiversity. Int. J. Remote Sens. 22(12), 2377–2400
(2001)
Nagendra, H., Lucas, R., Honrado, J.P., Jongman, R.H., Tarantino, C., Adamo, M., Mairota, P.:
Remote sensing for conservation monitoring: assessing protected areas, habitat extent, habitat
condition, species diversity, and threats. Ecol. Indic. 33, 45–59 (2013)
Pal, M., Mather, P.M.: Support vector machines for classification in remote sensing. Int. J. Remote
Sens. 26(5), 1007–1011 (2005)
Peddle, D.R.: Knowledge formulation for supervised evidential classification. Photogramm. Eng.
Remote. Sens. 61(4), 409–417 (1995)
Mapping Coastal Habitats in Wales
Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J., Duke, N.: Status
and distribution of mangrove forests of the world using earth observation satellite data. Glob.
Ecol. Biogeogr. 20(1), 154–159 (2011)
He, K.S., Rocchini, D., Neteler, M., Nagendra, H.: Benefits of hyperspectral remote sensing for
tracking plant invasions. Divers. Distrib. 17(3), 381–392 (2011)
Hunt, E.R., Daughtry, C.S.T., Eitel, J.U.H., Long, D.S.: Remote sensing leaf chlorophyll content
using a visible band index. Agron. J. 103(4), 1090–1099 (2011)
Index Database: Index Database Website, URL: http://www.indexdatabase.de/ (2016)
Laba, M., Downs, R., Smith, S., Welsh, S., Neider, C., White, S., Richmond, M., Philpot, W.,
Baveye, P.: Mapping invasive wetland plants in the Hudson river national estuarine research
reserve using Quickbird satellite imagery. Remote Sens. Environ. 112(1), 286–300 (2008)
Landgrebe, D.A.: Signal Theory Methods in Multispectral Remote Sensing. Wiley, New York
(2003)
Langley, S.K., Cheshire, H.M., Humes, K.S.: A comparison of single date and multi-temporal
satellite image classifications in a semi-arid grassland. J. Arid Environ. 49(2), 401–411 (2001)
Lieth, H. The phenological viewpoint in productivity studies. In: Productivity of Forest Ecosystems.
Proceedings of the Brussels Symposium by UNESCO, pp. 71–83 (1971)
Liu, S., Liu, R., Liu, Y.: Spatial and temporal variation of global lai during 1981–2006. J. Geogr.
Sci. 20(3), 323–332 (2010)
Lucas, R., Rowlands, A., Brown, A., Keyworth, S., Bunting, P.: Rule-based classification of
multi-temporal satellite imagery for habitat and agricultural land cover mapping. ISPRS
J. Photogramm. Remote Sens. 62(3), 165–185 (2007)
Lucas, R., Medcalf, K., Brown, A., Bunting, P., Breyer, J., Clewley, D., Keyworth, S., Blackmore,
P.: Updating the Phase 1 habitat map of Wales, UK, using satellite sensor data. ISPRS
J. Photogramm. Remote Sens. 66(1), 81–102 (2011)
Lucas, R., Blonda, P., Bunting, P., Jones, G., Inglada, J., Arias, M., Kosmidou, V., Petrou, Z.I.,
Manakos, I., Adamo, M., Charnock, R., Tarantino, C., Mücher, C.A., Jongman, R.H.G.,
Kramer, H., Arvor, D., Honrado, J.P., Mairota, P.: The Earth Observation Data for Habitat
Monitoring (EODHaM) system. Int. J. Appl. Earth Obs. Geoinf. 37, 17–28 (2015)
MacAlister, C., Mahaxay, M.: Mapping wetlands in the lower Mekong Basin for wetland resource
and conservation management using Landsat ETM+ images and field survey data. J. Environ.
Manag. 90(7), 2130–2137 (2009)
Marceau, D.J., Howarth, P.J., Gratton, D.J.: Remote sensing and the measurement of geographical
entities in a forested environment. 1. The scale and spatial aggregation problem. Remote Sens.
Environ. 49(2), 93–104 (1994)
McDermid, G.J., Franklin, S.E., LeDrew, E.F.: Remote sensing for large-area habitat mapping.
Prog. Phys. Geogr. 29(4), 449–474 (2005)
Medcalf, K.A., Parker, J.A., Turton, N., Bell, G.: Making Earth Observation Work for UK
Biodiversity Conservation Phase 1, JNCC Report, 495. Joint Nature Conservation Committee,
Peterborough (2014)
Menzel, A.: Phenology: its importance to the global change community. Clim. Chang. 54(4),
379–385 (2002)
Mountrakis, G., Im, J., Ogole, C.: Support vector machines in remote sensing: a review. ISPRS
J. Photogramm. Remote Sens. 66, 247–259 (2011)
Nagendra, H.: Using remote sensing to assess biodiversity. Int. J. Remote Sens. 22(12), 2377–2400
(2001)
Nagendra, H., Lucas, R., Honrado, J.P., Jongman, R.H., Tarantino, C., Adamo, M., Mairota, P.:
Remote sensing for conservation monitoring: assessing protected areas, habitat extent, habitat
condition, species diversity, and threats. Ecol. Indic. 33, 45–59 (2013)
Pal, M., Mather, P.M.: Support vector machines for classification in remote sensing. Int. J. Remote
Sens. 26(5), 1007–1011 (2005)
Peddle, D.R.: Knowledge formulation for supervised evidential classification. Photogramm. Eng.
Remote. Sens. 61(4), 409–417 (1995)
Mapping Coastal Habitats in Wales