Assessing Surface Changes between Shorelines from 1950 to 2011: The case of a 169-km Sandy Coast, Pays de la Loire (W France). Robin, M., Juigner, M., Luquet, F., & Audère, M. 88:122–134. Number: sp1
Assessing Surface Changes between Shorelines from 1950 to 2011: The case of a 169-km Sandy Coast, Pays de la Loire (W France) [link]Paper  doi  abstract   bibtex   
Robin M.; Juigner M.; Luquet F., and Audère M., 2019. Assessing surface changes between shorelines from 1950 to 2011: The case of a 169-km sandy coast, Pays de la Loire (W France). In: Castelle, B. and Chaumillon, E. (eds.), Coastal Evolution under Climate Change along the Tropical Overseas and Temperate Metropolitan France. Journal of Coastal Research, Special Issue No. 88, pp. 122–134. Coconut Creek (Florida), ISSN 0749-0208.This paper aims to highlight the evolution of the Pays de la Loire sandy coast. No global synthesis has been done on the evolution of this coast and its rates of change at various periods of time. Furthermore, to our knowledge, no synthetic research has been carried out using this methodology, which enables the release of surface statistics per unit of time. The shoreline's evolution has been measured over various periods since 1950: from 1950 to 2010, the intermediate periods being 1950-1970, 1970-1990, 1990-2010 and finally 1990-2000 and 2000-2010. These dates are among the only ones to allow complete air coverage by aerial photographs. The photographs are used to finely analyze changes in 60 to 10-year periods of time, in order to target non-linear rates of change. Our methodology is rigorously applied as follow: (1) we create of a database of exhaustive aerial photographs, (2) we define and digitize the shoreline, (3) we estimate the error margins, (4) we calculate a regular segmentation of the shoreline per surface unit (which are regularly spaced at 25m along the coast), (5) we intersect the shorelines and these spatial units to measure the surfaces between each shoreline inside each spatial unit. Various linear and surface statistics expressing erosion or accretion rates are then calculated for each of the 6652 spatial units. Global statistics are presented at the regional level. They are then presented in more detail at the level of the sedimentary cells, and finally at the level of the spatial units constituting the sedimentary cells. This approach permits us to present a global sedimentary balance at various scales through (i) the rates of evolution converted in linear meter (ii) and especially the emphasis of the evolution of surfaces between these shorelines. This leads us to estimate precisely the accreting, eroding and stable or insignificant sectors per period. It appears that the Pays de la Loire region has a sandy coast which is usually in sedimentary accretion even though some local sectors have been in chronic erosion over the last 60 years.
@article{robin_assessing_2019,
	title = {Assessing Surface Changes between Shorelines from 1950 to 2011: The case of a 169-km Sandy Coast, Pays de la Loire (W France)},
	volume = {88},
	issn = {0749-0208, 1551-5036},
	url = {https://bioone.org/journals/Journal-of-Coastal-Research/volume-88/issue-sp1/SI88-010.1/Assessing-Surface-Changes-between-Shorelines-from-1950-to-2011/10.2112/SI88-010.1.full},
	doi = {10.2112/SI88-010.1},
	shorttitle = {Assessing Surface Changes between Shorelines from 1950 to 2011},
	abstract = {Robin M.; Juigner M.; Luquet F., and Audère M., 2019. Assessing surface changes between shorelines from 1950 to 2011: The case of a 169-km sandy coast, Pays de la Loire (W France). In: Castelle, B. and Chaumillon, E. (eds.), Coastal Evolution under Climate Change along the Tropical Overseas and Temperate Metropolitan France. Journal of Coastal Research, Special Issue No. 88, pp. 122–134. Coconut Creek (Florida), {ISSN} 0749-0208.This paper aims to highlight the evolution of the Pays de la Loire sandy coast. No global synthesis has been done on the evolution of this coast and its rates of change at various periods of time. Furthermore, to our knowledge, no synthetic research has been carried out using this methodology, which enables the release of surface statistics per unit of time. The shoreline's evolution has been measured over various periods since 1950: from 1950 to 2010, the intermediate periods being 1950-1970, 1970-1990, 1990-2010 and finally 1990-2000 and 2000-2010. These dates are among the only ones to allow complete air coverage by aerial photographs. The photographs are used to finely analyze changes in 60 to 10-year periods of time, in order to target non-linear rates of change. Our methodology is rigorously applied as follow: (1) we create of a database of exhaustive aerial photographs, (2) we define and digitize the shoreline, (3) we estimate the error margins, (4) we calculate a regular segmentation of the shoreline per surface unit (which are regularly spaced at 25m along the coast), (5) we intersect the shorelines and these spatial units to measure the surfaces between each shoreline inside each spatial unit. Various linear and surface statistics expressing erosion or accretion rates are then calculated for each of the 6652 spatial units. Global statistics are presented at the regional level. They are then presented in more detail at the level of the sedimentary cells, and finally at the level of the spatial units constituting the sedimentary cells. This approach permits us to present a global sedimentary balance at various scales through (i) the rates of evolution converted in linear meter (ii) and especially the emphasis of the evolution of surfaces between these shorelines. This leads us to estimate precisely the accreting, eroding and stable or insignificant sectors per period. It appears that the Pays de la Loire region has a sandy coast which is usually in sedimentary accretion even though some local sectors have been in chronic erosion over the last 60 years.},
	pages = {122--134},
	issue = {sp1},
	journaltitle = {Journal of Coastal Research},
	shortjournal = {coas},
	author = {Robin, Marc and Juigner, Martin and Luquet, Florent and Audère, Morgane},
	urldate = {2020-03-05},
	date = {2019-12},
	note = {Number: sp1}
}

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