@article{fdi:010095805,
  title = {{E}stablishment of mangroves on a new mud bank by a combination of {UAS} {S}f{M} photogrammetry and {L}i{DAR} monitoring},
  author = {{S}taquet, {A}drien and {P}roisy, {C}hristophe and {G}ranjon, {L}. and {M}aury, {T}. and {A}ugusseau, {P}. {E}. and {G}ardel, {A}. and {A}ttali, {A}. and {B}runier, {G}. and {L}eroy, {C}. and {M}ury, {A}ntoine and {F}acundes, {F}. and {S}antos, {V}. {F}. and {A}nthony, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{U}nderstanding how mangroves respond to sea level rise is critical for coastal management and conservation. {T}his study investigates the feasibility of two remote sensing techniques, {L}ight {D}etection and {R}anging ({L}i{DAR}) and {S}tructure-from-{M}otion ({S}f{M}) photogrammetry, to monitor changes in mud elevation that are critical to mangrove establishment dynamics. {S}f{M} photogrammetry can provide low-cost 3{D} modeling from imagery, while {L}i{DAR} provides high-precision elevation and vegetation data. {O}ur analysis shows that {S}f{M} photogrammetry provides reasonably accurate surface elevation data with a root mean square error ({RMSE}) of 0.14 meters and a significant correlation coefficient (r = 0.74) compared to {L}i{DAR} measurements. {T}his highlights the complementarity between the two, as the effectiveness of {S}f{M} photogrammetry is in the early stages of colonization, and then the need to use {L}i{DAR} with dense vegetation as the mangroves mature. {T}his shows that a simple method of photogrammetry can remain effective until the vegetation reaches a certain threshold, and this can be particularly useful in the perspective of using mud elevation as a first low-cost diagnosis for potential mangrove rehabilitation project to assess the colonization suitability of mudflats.},
  keywords = {drone ; natural processes ; coastal zone management ; {F}rench {G}uiana ; {S}outh {A}merica. ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{I}nternational {A}rchives of the {P}hotogrammetry, {R}emote {S}ensing and {S}patial {I}nformation {S}ciences},
  volume = {{XLVIII}-3-2024},
  numero = {},
  pages = {527--532},
  ISSN = {1682-1750},
  year = {2024},
  DOI = {10.5194/isprs-archives-{XLVIII}-3-2024-527-2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095805},
}