publications([{
   "chapter": 6440,
   "publisher": "The Open Journal",
   "doi": "https://doi.org/10.21105/joss.06440",
   "lang": "en",
   "uri": "http://iihm.imag.fr/publication/MBP+24a/",
   "title": "InsarViz: An open source Python package for the interactive visualization of satellite SAR interferometry data",
   "url": "https://joss.theoj.org/papers/10.21105/joss.06440",
   "journal": "JoSS (Journal of Open Source Software)",
   "year": 2024,
   "number": 101,
   "pages": "4",
   "volume": 9,
   "id": 965,
   "abbr": "MBP+24a",
   "bibtype": "article",
   "authors": {
      "1": {
         "first_name": "Margaux",
         "last_name": "Mouchené"
      },
      "2": {
         "first_name": "Renaud",
         "last_name": "Blanch"
      },
      "3": {
         "first_name": "Erwan",
         "last_name": "Pathier"
      },
      "4": {
         "first_name": "Romain",
         "last_name": "Montel"
      },
      "5": {
         "first_name": "Franck",
         "last_name": "Thollard"
      }
   },
   "date": "2024-09-04",
   "document": "http://iihm.imag.fr/publs/2024/10.21105.joss.06440.pdf",
   "type": "Autres revues",
   "abstract": "The deformation of the Earth surface or of man-made infrastructures can be studied using satellite Synthetic Aperture Radar (SAR) Interferometry (InSAR).\r\nThanks to new satellite missions and improvements in the complex data processing chains, large amounts of high-quality InSAR data are now readily available.\r\nHowever, some characteristics of these datasets make them unsuitable to be studied using conventional (geo)imagery softwares.\r\nWe present InsarViz, a new Python tool designed specifically to interactively visualize and analyze large InSAR\r\ndatasets.",
   "type_publi": "revue"
}]);