@article{fdi:010066868,
  title = {{C}omparison of {P}leiades and {L}i{DAR} digital elevation models for terraces detection in farmlands},
  author = {{S}ofia, {G}. and {B}ailly, {J}. {S}. and {C}hehata, {N}esrine and {T}arolli, {P}. and {L}evavasseur, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}mong the most evident anthropogenic modifications of the landscape, terraces related to agricultural activities are ubiquitous structures that constitute important investments worldwide, and they recently acquired a new relevance to modern concerns about land-use management and erosion control. {C}onservation agriculture and terraces management are an application with great potentialities for {S}atellite {E}arth observation and the derived high-resolution topography. {D}ue to its high agility, the {P}leiades satellite constellation provides new, high-resolution digital elevation models ({DEM}s) with a submetric resolution that could be potentially useful for this task, and their application in a farmland context is nowadays an open research line. {T}his work provides a first analysis, performing an automatic terrace mapping from {DEM}s obtained from {P}leiades images, as compared to {L}i{DAR} {DEM}s. {T}wo existing methods are considered: 1) the fast line segment detector ({LSD}) algorithm and 2) a geomorphometric method based on surface curvature. {D}espite the lower performances of {P}leiades {DEM}s with respect to that of the {L}i{DAR} models, the results indicate that the {P}leiades models can be used to automatically detect terrace slopes greater than 2 m with a detection rate of more than 80% of the total length of the terraces. {I}n addition, the results showed that when using noisy {DEM}s, the geomorphometric method is more robust, and it slightly outperforms the {LSD} algorithm. {T}hese results provide a first analysis on how effective {P}leiades {DEM}s can be as an alternative to {L}i{DAR} {DEM}s, also highlighting the future challenges for monitoring large extents in a farmland context.},
  keywords = {{A}ccuracy ; cultivated landscapes ; {L}i{DAR} ; line detection ; stereo-photogrammetry ; {FRANCE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {9},
  numero = {4},
  pages = {1567--1576},
  ISSN = {1939-1404},
  year = {2016},
  DOI = {10.1109/jstars.2016.2516900},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066868},
}