@article{fdi:010073806,
  title = {{U}se of {S}entinel-2 images for the detection of precursory motions before landslide failures},
  author = {{L}acroix, {P}ascal and {B}ievre, {G}. and {P}athier, {E}. and {K}niess, {U}. and {J}ongmans, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}entinel-2 optical satellites provide a global coverage of land surfaces with a 5-day revisit time at the {E}quator. {W}e investigate the ability of these freely available optical images to detect precursory motions before rapid landslides. {A} 9-month time-series of displacement is derived from {S}entinel-2 data over a major landslide in the {F}rench {A}lps, which exhibited a sudden reactivation in {J}une 2016. {T}his analysis reveals a 7-month period of low activity (<= 1 m), followed by a sudden acceleration of 3.2 +/- 1.2 m in 3 days, before the failure of a mass of about 2 to 3.6 10(6) m(3). {T}he location of this precursory motion is consistent with that of the slow motions occurring since 2001 (about 1 m/year), as revealed by aerial photographs and {L}i{DAR} analysis. {T}his change in activity over a very short period of time (days) emphasizes the value of the frequent revisit time of {S}entinel-2, despite its medium resolution of 10 m. {W}e finally simulate the ability of {S}entinel-2 for detecting these precursory patterns before a rapid landslide occurs, based on typical {V}oight's laws for creeping materials, characterized by a power law exponent a. {B}ased on this analysis and on global cloud cover maps, we compute the probability to detect pre-failure motions of landslides using the {S}entinel-2 constellation. {T}his probability is highly heterogeneous at the global scale, affected by the revisit time of the satellite and the cloud cover. {H}owever the main factors controlling this detection ability are the properties of the landslide itself (its size and the alpha parameter), with almost 100% of detection probability for alpha = 1.3 and 0% for alpha = 1.8. {D}espite all these limitations, probability to detect a motion before a landslide failure often reaches 50% for classical landslide parameters. {T}hese results open new perspectives for the early warning of large landslide motion from global and open source remote sensing data.},
  keywords = {{L}andslides ; {P}recursors ; {S}entinel-2 ; {O}ptical satellite ; {M}edium resolution ; {EQUATEUR}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {215},
  numero = {},
  pages = {507--516},
  ISSN = {0034-4257},
  year = {2018},
  DOI = {10.1016/j.rse.2018.03.042},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073806},
}