1887

Abstract

Summary

High precision Global Navigation Satellite System (GNSS) and Synthetic Aperture Radar Interferometry (InSAR) are widely used today for various applications ranging from ground deformation to weather prediction. For both InSAR and GNSS products require correction of the atmospheric disturbances. In this work, a brief review of the state-of-the-art of both techniques and their application for monitoring of landslides and troposphere in Bulgaria is presented and future synergy is discussed. In particular, exploiting the combined GNSS and InSAR tropospheric products for severe weather monitoring.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202149BGS14
2021-10-10
2024-03-29
Loading full text...

Full text loading...

References

  1. Arief, S., Heki, K.
    [2020] GNSS Meteorology for Disastrous Rainfalls in 2017–2019 Summer in SW Japan: A New Approach Utilizing Atmospheric Delay Gradients. Frontiers in Earth Science, DOI:10.3389/feart.2020.00182.
    https://doi.org/10.3389/feart.2020.00182 [Google Scholar]
  2. Armaş, L., Gheorghe, M., Lendvai, A. M., Dumitru, P.D., Bădescu, O., Călin, A.
    [2016] InSAR validation based on GNSS measurements in Bucharest. International Journal of Remote Sensing, 37:23, 5565–5580, DOI:10.1080/01431161.2016.1244367.
    https://doi.org/10.1080/01431161.2016.1244367 [Google Scholar]
  3. Atanasova, M., NikolovH.
    [2021] Adding New Information Content to GNSS Measurements by SAR Data Processing in Studying a Landslide. In: KsibiM. et al. (eds.) Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition). EMCEI 2019. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978‑3‑030‑51210‑1_323, ISBN:eBook ISBN 978-3-030-51210-1, Hardcover ISBN 978-3-030-51209-5.
    https://doi.org/10.1007/978-3-030-51210- [Google Scholar]
  4. [2019] Application of interferometry in landslide area analysis. 19th Int. Multidisciplinary Scientific GeoConference (SGEM 2019), Vol. 19, Issue 5.2, 107–114.
    [Google Scholar]
  5. Douša, J., Dick, G., Kačmařík, M., Brožková, R., Zus, F., Brenot, H., Stoycheva, A., Möller, G. and Kaplon, J.
    , [2016]. Benchmark campaign and case study episode in central Europe for development and assessment of advanced GNSS tropospheric models and products. Atmos. Meas. Tech., 9, 2989–3008.
    [Google Scholar]
  6. Farolfi, G., Soldato, M., Bianchini, S., Casagli, N.
    [2019] A procedure to use GNSS data to calibrate satellite PSI data for the study of subsidence:an example from the north-western Adriatic coast (Italy). European Journal of Remote Sensing, Vol. 52, No 54, 54–63.
    [Google Scholar]
  7. Guerova, G., SimeonovTzv., Yordanova, N.
    [2014] The Sofia University Atmospheric Data Archive (SUADA). Atmos. Meas. Tech., 7, 2683–2694.
    [Google Scholar]
  8. Guerova, G., Jonas, J., Dousa, J., Dick, G., Haan, S., Pottiaux, E., Bock, O., Pacione, R., Elgered, G., Vedel, H., BenderM.
    [2016] Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe. Atmos. Meas. Tech., 9, 5385–5406.
    [Google Scholar]
  9. Jones, J., Guerova, G., Douša, J., Dick, G., Haan, S., Pottiaux, E., Bock, O., Pacione, R., Malderen, R.
    (Ed). [2021] Advanced GNSS Tropospheric Products for Monitoring Severe Weather Events and Climate COST Action ES1206 Final Action Dissemination Report. Springer, https://doi.org/10.1007/978‑3‑030‑13901‑8, (eBook).
    https://doi.org/10.1007/978-3-030-13901-8 [Google Scholar]
  10. Lagasio, M., Parodi, A., Pulvirenti, L., Meroni, A., BoniG., Pierdicca, N., Marzano, F. S., Luini, L., Venuti, G., Realini, E., Gatti, A., Tagliaferro, G., Barindelli, S., Guarnieri, A. M., Goga, K., Terzo, O., Rucci, A., Passera, E., Kranzlmueller, D., Rommen, B.
    [2019] A Synergistic Use of a High-Resolution Numerical Weather Prediction Model and High-Resolution Earth Observation Products to Improve Precipitation Forecast. Remote Sensing, 11(20), 2387; https://doi.org/10.3390/rs11202387.
    https://doi.org/10.3390/rs11202387. [Google Scholar]
  11. Mancini, F., Grassi, F., Cenni, N.
    [2021] A Workflow Based on SNAP–StaMPS Open-Source Tools and GNSS Data for PSI-Based Ground Deformation Using Dual-Orbit Sentinel-1 Data: Accuracy Assessment with Error Propagation Analysis. Remote Sensing, 13(4), 753, https://doi.org/10.3390/rs13040753.
    https://doi.org/10.3390/rs13040753. [Google Scholar]
  12. Mateus, P., Miranda, P. M. A, Nico, N., Catalo, J., Pinto, P., Tom, R.
    [2018] Assimilating InSAR Maps of Water Vapor to Improve Heavy Rainfall Forecasts: A Case Study With Two Successive Storms. Journal of Geophysical Research: Atmospheres, 123, 3341–3355.
    [Google Scholar]
  13. Miranda, P. M. A., Mateus, P., Nico, G., Catalão, J., Tomé, R., Nogueira, M.
    [2018] InSAR Meteorology: High-Resolution Geodetic Data Can Increase Atmospheric Predictability. Geophysical Research Letters, 46, 2949–2955.
    [Google Scholar]
  14. Simonetto, E., Durand, S., Burdack, J., Polidori, L., Morel, L., Nicolas-Duroy, J.
    [2014] Combination of INSAR and GNSS measurements for ground displacement monitoring. Procedia Technology, 16, 192–198.
    [Google Scholar]
  15. Soldato, M., Confuorto, P., Bianchini, S., Sbarra, P., Casagli, N.
    [2021] Review of Works Combining GNSS and InSAR in Europe. Remote Sensing, 13, 1684. https://doi.org/10.3390/rs13091684
    https://doi.org/10.3390/rs13091684 [Google Scholar]
  16. Wang, X., Zeng, Q., Jiao, J.
    [2021] Utilization of WRF 3D Meteorological Data to Calculate Slant Total Delay for InSAR Atmospheric Correction. Remote Sensing in Earth Systems Sciences. https://doi.org/10.1007/s41976‑020‑00043‑w.
    https://doi.org/10.1007/s41976-020-00043-w. [Google Scholar]
  17. Wilgan, K., Siddique, M. A., Strozzi, T., Geiger, A., Frey, O.
    [2019] Comparison of Tropospheric Path Delay Estimates from GNSS and Space-Borne SAR Interferometry in Alpine Conditions. Remote Sensing, 11(15), 1789; https://doi.org/10.3390/rs1115178922.
    https://doi.org/10.3390/rs1115178922 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202149BGS14
Loading
/content/papers/10.3997/2214-4609.202149BGS14
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error