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" }]);