TY - JOUR
T1 - Monitoring the coastal zone using earth observation:
T2 - application of linear spectral unmixing to coastal dune systems in Wales
AU - Ettritch, Georgina
AU - Bunting, Peter
AU - Jones, Gwawr Angharad
AU - Hardy, Andrew
N1 - Funding Information:
Georgina Ettritch's, MSc was funded by the European Social Fund (ESF) through the European Union's Convergence programme administered by the Welsh Government, with the support of Environment Systems Ltd as the industrial partner. All staff at Environment Systems Ltd are thanked for their support. WorldView 2 and UAV data were kindly provided by NRW. Clive Hurford at NRW is particularly thanked for making the purchase of the WorldView 2 imagery possible and supporting the wider project. Thanks also go to Derek Elliot at the Welsh Government and also to the Royal Commission on the Ancient and Historic Monuments of Wales (RCAHMW) for the provision of aerial photography.
Funding Information:
Georgina Ettritch’s, MSc was funded by the European Social Fund (ESF) through the European Union’s Convergence programme administered by the Welsh Government, with the support of Environment Systems Ltd as the industrial partner.
Publisher Copyright:
© 2018 The Authors. Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Coastal sand dune systems across temperate Europe are presently characterized by a high level of ecological stabilization and a subsequent loss of biological diversity. The use of continuous monitoring within these systems is vital to the preservation of species richness, particularly with regard to the persistence of early stage pioneer species dependent on a strong sediment supply. Linear spectral unmixing was applied to archived Landsat data (1975–2014) and historical aerial photography (1941–1962) for monitoring bare sand (BS) cover dynamics as a proxy for ecological dune stabilization. Using this approach, a time series of change was calculated for Kenfig Burrows, a 6-km
2 stabilized dune system in South Wales, during 1941–2014. The time series indicated that a rapid level of stabilization had occurred within the study area over a period of 75 years. Accuracy assessment of the data indicated the suitability of medium-resolution imagery with an RMSE of <10% across all images and a difference of <3% between observed and predicted BS area. Temporal resolution was found to be a significant factor in the representation of BS cover with fluctuations occurring on a sub-decadal scale, outside of the margin of error introduced through the use of medium-resolution Landsat imagery. This study demonstrates a tractable approach for mapping and monitoring ecologically sensitive regions at a sub-Landsat pixel level.
AB - Coastal sand dune systems across temperate Europe are presently characterized by a high level of ecological stabilization and a subsequent loss of biological diversity. The use of continuous monitoring within these systems is vital to the preservation of species richness, particularly with regard to the persistence of early stage pioneer species dependent on a strong sediment supply. Linear spectral unmixing was applied to archived Landsat data (1975–2014) and historical aerial photography (1941–1962) for monitoring bare sand (BS) cover dynamics as a proxy for ecological dune stabilization. Using this approach, a time series of change was calculated for Kenfig Burrows, a 6-km
2 stabilized dune system in South Wales, during 1941–2014. The time series indicated that a rapid level of stabilization had occurred within the study area over a period of 75 years. Accuracy assessment of the data indicated the suitability of medium-resolution imagery with an RMSE of <10% across all images and a difference of <3% between observed and predicted BS area. Temporal resolution was found to be a significant factor in the representation of BS cover with fluctuations occurring on a sub-decadal scale, outside of the margin of error introduced through the use of medium-resolution Landsat imagery. This study demonstrates a tractable approach for mapping and monitoring ecologically sensitive regions at a sub-Landsat pixel level.
KW - ecosystem monitoring
KW - Landsat
KW - linear spectral unmixing
KW - multispectral unmixing
KW - multispectral
KW - sand dunes
KW - WorldView 2
KW - WorldView2
KW - Ecosystem monitoring
UR - http://www.scopus.com/inward/record.url?scp=85045849003&partnerID=8YFLogxK
U2 - 10.1002/rse2.79
DO - 10.1002/rse2.79
M3 - Article
SN - 2056-3485
VL - 4
SP - 303
EP - 319
JO - Remote Sensing in Ecology and Conservation
JF - Remote Sensing in Ecology and Conservation
IS - 4
ER -