Semi-automatic identification and pre-screening of geological-geotechnical deformational processes using persistent scatterer interferometry datasets

  1. Tomás, R.
  2. Pagán, J.I.
  3. Navarro, J.A.
  4. Cano, M.
  5. Pastor, J.L.
  6. Riquelme, A.
  7. Cuevas-González, M.
  8. Crosetto, M.
  9. Barra, A.
  10. Monserrat, O.
  11. Lopez-Sanchez, J.M.
  12. Ramón, A.
  13. Ivorra, S.
  14. Del Soldato, M.
  15. Solari, L.
  16. Bianchini, S.
  17. Raspini, F.
  18. Novali, F.
  19. Ferretti, A.
  20. Costantini, M.
  21. Trillo, F.
  22. Herrera, G.
  23. Casagli, N.
Journal:
Remote Sensing

ISSN: 2072-4292

Year of publication: 2019

Volume: 11

Issue: 14

Type: Article

DOI: 10.3390/RS11141675 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10045/94447
Repositorio Institucional de la Universidad de Alicante: lock_openOpen access Handle

Sustainable development goals

Data source: Scopus