@article{fdi:010085162,
  title = {{T}errain deformation measurements from optical satellite imagery : the {MPIC}-{OPT} processing services for geohazards monitoring},
  author = {{P}rovost, {F}. and {M}ichea, {D}. and {M}alet, {J}. {P}. and {B}oissier, {E}. and {P}ointal, {E}. and {S}tumpf, {A}. and {P}acini, {F}. and {D}oin, {M}. {P}. and {L}acroix, {P}ascal and {P}roy, {C}. and {B}ally, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}easuring terrain deformation over several spatial and temporal scales is relevant for many applications in {E}arth {S}ciences (i.e. active faults, volcanoes, landslides or glaciers understanding). {T}he growing volume of freely available data represents nowadays a challenge in terms of storage capacity and computing resources which, together with the complexity of the processing (code parameterization, combination of the image sequences, coregistration of the images) may prevent the exploitation of long time series. {W}e propose here a new version of the {M}ultiple-{P}airwise {I}mage {C}orrelation toolbox for processing {OPT}ical images ({MPIC}-{OPT}). {T}he toolbox proposes an end-to-end solution to compute the horizontal sub-pixel ground deformation time series from large {S}entinel-2 datasets. {I}n addition to time series inversion, several corrections and filtering options are integrated to reduce the noise and improve the accuracy and precision of the measurements. {I}n particular, an automatic jitter correction based on wavelet filtering is proposed. {M}oreover, the {MPIC}-{OPT} service is deployed on the {T}ier 1.5 {H}igh{P}erformance {C}omputing cluster (e.g. {D}atacentre/{EOST}-{A}2{S}) of the {U}niversity of {S}trasbourg and is accessible on-line through the {ESA} {G}eohazards {E}xploitation {P}latform ({GEP}) and the {F}or{M}@{T}er {S}olid {E}arth computing infrastructure with a user-friendly environment to query the satellite data catalogues, parameterize the processing and visualize the outputs. {W}e test the performances of {MPIC}-{OPT} on several use cases: the measurement of the co-seismic ground deformation of the 2019 {R}idgecrest earthquake sequence ({USA}), of the rapid motion of the {S}lumgullion landslide ({USA}) and of the glaciers of the {M}ont-{B}lanc massif ({F}rance/{I}taly). {W}e show that the results of {MPIC}-{OPT} are in agreement with in-situ data. {T}he jitter correction significantly improves the precision ({RMSE}jitter=0.3m vs. {RMSE}nojitter=0.5m) and the accuracy ({RMSE}jitter=0.3m vs. {RMSE}nojitter=1.3m) of the measurement of the co-seismic displacement of the {R}igdecrest seismic deformation. {W}e show that the precision and accuracy of the terrain deformation estimation depend mainly on the correlation threshold and the temporal matching range parameters and we quantify and discuss their impacts. {T}his work opens new perspectives to monitor automatically surface displacements/velocities of natural hazards over large scales and large periods of time.},
  keywords = {{S}atellite optical image correlation ; {T}ime-series analysis ; {L}andslide ground deformation ; {G}lacier ice velocity ; {C}o-seismic displacement ; {ETATS} {UNIS} ; {FRANCE} ; {ITALIE} ; {COLORADO} ; {MONT} {BLANC}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {274},
  numero = {},
  pages = {112949 [18 p.]},
  ISSN = {0034-4257},
  year = {2022},
  DOI = {10.1016/j.rse.2022.112949},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085162},
}