@article{fdi:010093359,
  title = {{B}enefits of {GNSS} local observations compared to global weather-based models for {I}n{SAR} tropospheric corrections over tropical volcanoes : case studies of {P}iton de la {F}ournaise and {M}erapi},
  author = {{A}lbino, {F}. and {G}remion, {S}. and {P}inel, {V}irginie and {B}ouygues, {P}. and {P}eltier, {A}. and {B}eauducel, {F}. and {F}roger, {J}. {L}. and {S}antoso, {A}. {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{F}rom repeat-pass interferometry, tropospheric signals often prevent the detection of ground deformation signals. {I}n recent years, tropospheric corrections derived from global weather-based models have been implemented in several {I}n{SAR} processing chains. {I}n this study, we evaluate the performance of two weather-based models ({ERA}5 and {GACOS}) on two tropical volcanoes: {P}iton de la {F}ournaise and {M}erapi. {F}or {P}iton de la {F}ournaise, the reduction of the tropospheric noise is efficient for similar to 30% and similar to 60% of the data sets for {GACOS} and {ERA}5, respectively. {F}or {M}erapi, the performance reaches similar to 40% for {GACOS} and similar to 50% for {ERA}5. {A}lthough {GNSS} local stations provide real-time information about tropospheric delays, their potential for improving {I}n{SAR} corrections on active volcanoes is under-exploited. {H}ere, we produce local {GNSS}-based tropospheric corrections and compare their performance to global weather-based models. {F}or {P}iton de la {F}ournaise, the gain of performance with similar to 34 {GNSS} stations is about 25% compared to {ERA}5 models. {GNSS}-based corrections increase the signal-to-noise ratio in {I}n{SAR} time series allowing the detection of ground displacements between {J}uly and {D}ecember 2021. {F}or {M}erapi, {GNSS}-based models with only 5 stations spatially distributed at different elevations are as efficient as {ERA}5 models. {GNSS}-based corrections induce a decrease in the noise level from values >1-0.5 cm in a period of quiescence. {H}ere, we show that {GNSS}-based models are an efficient alternative to global weather-based models for instrumented volcanoes. {T}he proposed approach paves the way toward near real-time {I}n{SAR} monitoring of volcanic unrest and other processes (landslides, groundwater extraction).},
  keywords = {{REUNION} ; {INDONESIE} ; {JAVA} ; {LA} {FOURNAISE} ; {MERAPI}},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch : {S}olid {E}arth},
  volume = {130},
  numero = {4},
  pages = {e2024{JB}028898 [28 p.]},
  ISSN = {2169-9313},
  year = {2025},
  DOI = {10.1029/2024jb028898},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093359},
}