@article{fdi:010075549,
  title = {{D}eriving high spatial-resolution coastal topography from sub-meter satellite stereo imagery},
  author = {{A}lmeida, {L}. {P}. and {A}lmar, {R}afa{\¨e}l and {B}ergsma, {E}. {W}. {J}. and {B}erthier, {E}. and {B}aptista, {P}. and {G}arel, {E}. and {D}ada, {O}. {A}. and {A}lves, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{H}igh spatial resolution coastal {D}igital {E}levation {M}odels ({DEM}s) are crucial to assess coastal vulnerability and hazards such as beach erosion, sedimentation, or inundation due to storm surges and sea level rise. {T}his paper explores the possibility to use high spatial-resolution {P}leiades (pixel size = 0.7 m) stereoscopic satellite imagery to retrieve a {DEM} on sandy coastline. {A} 40-km coastal stretch in the {S}outhwest of {F}rance was selected as a pilot-site to compare topographic measurements obtained from {P}leiades satellite imagery, {R}eal {T}ime {K}inematic {GPS} ({RTK}-{GPS}) and airborne {L}ight {D}etection and {R}anging {S}ystem ({L}i{DAR}). {T}he derived 2-m {P}leiades {DEM} shows an overall good agreement with concurrent methods ({RTK}-{GPS} and {L}i{DAR}; correlation coefficient of 0.9), with a vertical {R}oot {M}ean {S}quared {E}rror ({RMS} error) that ranges from 0.35 to 0.48 m, after absolute coregistration to the {L}i{DAR} dataset. {T}he largest errors ({RMS} error > 0.5 m) occurred in the steep dune faces, particularly at shadowed areas. {T}his work shows that {DEM}s derived from sub-meter satellite imagery capture local morphological features (e.g., berm or dune shape) on a sandy beach, over a large spatial domain.},
  keywords = {{P}leiades ; photogrammetry ; {L}i{DAR} ; {RTK}-{GPS} ; beach topography ; {FRANCE} ; {AQUITAINE} ; {ATLANTIQUE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {11},
  numero = {5},
  pages = {art. 590 [11 p.]},
  ISSN = {2072-4292},
  year = {2019},
  DOI = {10.3390/rs11050590},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075549},
}