M-SSA for InSAR time series Codes and demo

Codes allowing to apply M-SSA algorithm to InSAR time series

A small demo applying the code to InSAR time series recorded at Pacaya is provided

Citation

Walwer, Damian; Gonzalez Santana, Judit; Wauthier, Christelle; Ghil, Michael; Calais, Eric (2023). M-SSA for InSAR time series Codes and demo [Data set]. Scholarsphere.

Files

  • check_all_NaN.m

    size: 775 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 5a10377

  • correlogram_bartlett.m

    size: 1.6 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 3ff9680

  • correlogram.m

    size: 1.23 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 5de6533

  • eig_freq_fromgaussfit.m

    size: 567 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: fecb100

  • eig_frequency.m

    size: 280 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 6c6bf0f

  • EOFreshape.m

    size: 317 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 77cee39

  • gaussfit.m

    size: 2.63 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 878eefa

  • get_lin_trend.m

    size: 173 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: d2fa690

  • InSARData.m

    size: 2.13 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 0f5d374

  • movavg.m

    size: 163 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: c95a82c

  • MSBAS_257_257_1_1.txt

    size: 25 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 155d125

  • MSBAS_257_263_1_1.txt

    size: 24.9 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 187b166

  • MSBAS_257_269_1_1.txt

    size: 20.1 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 6457006

  • MSBAS_263_257_1_1.txt

    size: 24.9 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 739d026

  • MSBAS_263_263_1_1.txt

    size: 24.9 KB | mime_type: text/plain | date: 2023-04-07 | sha256: c419150

  • MSBAS_263_269_1_1.txt

    size: 24.9 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 25c2f28

  • MSBAS_269_257_1_1.txt

    size: 25 KB | mime_type: text/plain | date: 2023-04-07 | sha256: c860479

  • MSBAS_269_263_1_1.txt

    size: 24.9 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 60ec8d1

  • MSBAS_269_269_1_1.txt

    size: 24.9 KB | mime_type: text/plain | date: 2023-04-07 | sha256: 872295b

  • mssa_and_var.m

    size: 7.22 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: b2353e0

  • mssagf.m

    size: 1.83 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 2c7fac8

  • mssagf_opt.m

    size: 2.17 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 342e9e6

  • mssaInSAR_DEMO.m

    size: 3.21 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 09dd3b9

  • M_SSA_output.mat

    size: 12.5 MB | mime_type: | date: 2023-04-07 | sha256: 4a1e4e4

  • mssa_ssagf.m

    size: 7 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 7cb08e9

  • PC_spectrum3.m

    size: 1.11 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: d70c58a

  • plot_results.m

    size: 1.01 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: ca9a693

  • prepare_InSAR_data_ssagf.m

    size: 3.37 KB | mime_type: text/x-objcsrc | date: 2023-04-10 | sha256: d3db687

  • readme.txt

    size: 2.19 KB | mime_type: text/plain | date: 2023-04-07 | sha256: f211be4

  • remplissage_NaN.m

    size: 4.62 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 66eb4e8

  • subs_nan_moy.m

    size: 189 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 5a3d330

  • tde.m

    size: 1.86 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: cd34687

  • varimax_for_mssa.m

    size: 5.06 KB | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: faed018

  • xcorr2C.m

    size: 690 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 5bf590f

  • xcorrAG.m

    size: 310 Bytes | mime_type: text/x-objcsrc | date: 2023-04-07 | sha256: 7f10b39

Metadata

Work Title M-SSA for InSAR time series Codes and demo
Access
Open Access
Creators
  1. Damian Walwer
  2. Judit Gonzalez Santana
  3. Christelle Wauthier
  4. Michael Ghil
  5. Eric Calais
License No Copyright - U.S.
Work Type Software Or Program Code
Acknowledgments
  1. It is a pleasure to thank Andreas Groth for sharing his initial M-SSA codes and for helping us with certain aspects of practically implementing the M-SSA methodology.
Publication Date 2023
Deposited April 06, 2023

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Work History

Version 1
published

  • Created
  • Added Creator Damian Walwer
  • Added Creator Judit Gonzalez Santana
  • Added Creator Christelle Wauthier
  • Updated Work Title, Description Show Changes
    Work Title
    • M-SSA inSAR Demos
    • M-SSA for InSAR time series Codes and demo
    Description
    • Demos illustrating the use of M-SSA algorithm of inSAR time series recorded for Pacaya volcano
    • Codes allowing to apply M-SSA algorithm to InSAR time series
    • A small demo applying the code to InSAR time series recorded at Pacaya is provided
  • Added readme.txt
  • Added M_SSA_output.mat
  • Added mssaInSAR_DEMO.m
  • Added plot_results.m
  • Added mssa_and_var.m
  • Added varimax_for_mssa.m
  • Added prepare_InSAR_data_ssagf.m
  • Added mssagf.m
  • Added mssagf_opt.m
  • Added MSBAS_257_269_1_1.txt
  • Added MSBAS_257_263_1_1.txt
  • Added MSBAS_257_257_1_1.txt
  • Added mssa_ssagf.m
  • Added InSARData.m
  • Added PC_spectrum3.m
  • Added MSBAS_269_269_1_1.txt
  • Added MSBAS_269_263_1_1.txt
  • Added MSBAS_269_257_1_1.txt
  • Added MSBAS_263_269_1_1.txt
  • Added MSBAS_263_263_1_1.txt
  • Added MSBAS_263_257_1_1.txt
  • Added xcorrAG.m
  • Added xcorr2C.m
  • Added tde.m
  • Added EOFreshape.m
  • Added subs_nan_moy.m
  • Added remplissage_NaN.m
  • Added movavg.m
  • Added get_lin_trend.m
  • Added gaussfit.m
  • Added eig_frequency.m
  • Added eig_freq_fromgaussfit.m
  • Added correlogram.m
  • Added correlogram_bartlett.m
  • Added check_all_NaN.m
  • Updated Publication Date, License Show Changes
    Publication Date
    • 2023
    License
    • https://rightsstatements.org/page/NoC-US/1.0/
  • Published
  • Updated

Version 2
published

  • Created
  • Added Creator Michael Ghil
  • Added Creator Eric Calais
  • Updated Acknowledgments Show Changes
    Acknowledgments
    • It is a pleasure to thank Andreas Groth for sharing his initial M-SSA codes and for helping us with certain aspects of practically implementing the M-SSA methodology.
  • Published
  • Updated

Version 3
published

  • Created
  • Deleted prepare_InSAR_data_ssagf.m
  • Added prepare_InSAR_data_ssagf.m
  • Published
  • Updated