@article{fdi:010077105,
  title = {{M}onitoring the snowpack volume in a sinkhole on {M}ount {L}ebanon using time lapse photogrammetry},
  author = {{C}hakra, {C}. {A}. and {G}ascoin, {S}. and {S}omma, {J}. and {F}anise, {P}ascal and {D}rapeau, {L}aurent},
  editor = {},
  language = {{ENG}},
  abstract = {{L}ebanon has experienced serious water scarcity issues recently, despite being one of the wealthiest countries in the {M}iddle {E}ast for water resources. {A} large fraction of the water resources originates from the melting of the seasonal snow on {M}ount {L}ebanon. {T}herefore, continuous and systematic monitoring of the {L}ebanese snowpack is becoming crucial. {T}he top of {M}ount {L}ebanon is punctuated by karstic hollows named sinkholes, which play a key role in the hydrological regime as natural snow reservoirs. {H}owever, monitoring these natural snow reservoirs remains challenging using traditional in situ and remote sensing techniques. {H}ere, we present a new system in monitoring the evolution of the snowpack volume in a pilot sinkhole located in {M}ount {L}ebanon. {T}he system uses three compact time-lapse cameras and photogrammetric software to reconstruct the elevation of the snow surface within the sinkhole. {T}he approach is validated by standard topographic surveys. {T}he results indicate that the snow height can be retrieved with an accuracy between 20 and 60 cm (residuals standard deviation) and a low bias of 50 cm after co-registration of the digital elevation models. {T}his system can be used to derive the snowpack volume in the sinkhole on a daily basis at low cost.},
  keywords = {snow ; time-lapse camera ; photogrammetry ; structure-from-motion ; water resource ; {LIBAN} ; {LIBAN} {MONT}},
  booktitle = {},
  journal = {{S}ensors},
  volume = {19},
  numero = {18},
  pages = {art. 3890 [16 ]},
  year = {2019},
  DOI = {10.3390/s19183890},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077105},
}