BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//speaker//T9P8AE BEGIN:VTIMEZONE TZID:GMT BEGIN:STANDARD DTSTART:20001029T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST TZOFFSETFROM:+0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-it-2023-GXRWAU@talks.staging.osgeo.org DTSTART;TZID=GMT:20230613T094500 DTEND;TZID=GMT:20230613T100000 DESCRIPTION:Over the last decades\, remote sensing techniques have contribu ted to supporting cultural\nheritage studies and management\, including ar chaeological sites as well as their territorial context and\ngeographical surroundings. This paper aims to investigate the capabilities and limitati ons of the new\nhyperspectral sensor PRISMA (Precursore IperSpettrale dell a Missione Applicativa) by the Italian\nSpace Agency (ASI)\, still little applied to archaeological studies. The PRISMA sensor was tested on\nItalia n terrestrial (Alba Fucens\, Massa D’Albe\, L’Aquila) and marine (Sinu essa\, Mondragone\, Caserta)\narchaeological sites. A comparison between P RISMA hyperspectral imagery and the well-known\nSentinel-2 Multi-Spectral Instrument (MSI) was performed in order to better understand features and\ noutputs useful to investigate the aforementioned areas. At first\, bad ba nds analysis and noise removal\nwere performed\, in order to delete the nu merically corrupted bands. Principal component analysis\n(PCA) was carried out to highlight invisible details in the original image\; then\, spectra l signatures of\nrepresentative areas were extracted and compared to Senti nel-2 data. At last\, a classification analysis\n(ML and SAM) was performe d both on PRISMA and Sentinel-2 imagery. The results showed a full\nagreem ent between Sentinel and PRISMA data\, enhancing the capability of PRISMA in extrapolating\nmore spectral information and providing a better reliabi lity in the extraction of the features.\nthese first analyses\, applied in landscape archaeology studies\, highlight\nthe great spectral operational capabilities of the PRISMA sensor. In future studies\, a great\nadvantage can be brought by performing a reliable pansharpening in order to increas e\nthe resolution of the final images (geometric resolution from pancromat hic and spectral\nresolution from hyperspectral data)\, as well as a more stable multitemporal acquisition in\nthe areas under investigation. DTSTAMP:20260522T041741Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Hyperspectral PRISMA and Sentinel-2 Preliminary Assessment Comparis on in Archaeological Sites - Sara Zollini\, Francesco Immordino\, Annachia ra Dell'Acqua\, Maria Alicandro\, Elena Candigliota\, Raimondo Quaresima URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/GXRWAU/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-it-2023-Y7F39P@talks.staging.osgeo.org DTSTART;TZID=GMT:20230613T151500 DTEND;TZID=GMT:20230613T153000 DESCRIPTION:Inspection and maintenance of structures and infrastructures ar e\, nowadays\, hot topics. Extreme weather events and ageing stock\, mainl y\, deteriorate the network infrastructure. Their structural performance s hould be checked periodically\, but this is not always possible\, both bec ause of the difficulty to practically carry it out and because\, sometimes \, insufficient funds are allocated to infrastructure management. In most of the western countries\, a highly percentage of bridges\, roads\, viaduc ts were built between the 1950s and the 1970s\, so the detection plays a f undamental role for their proper functioning. Traditionally\, instruments such as levels and total stations have been used to perform high accuracy Structural Health Monitoring (SHM). These can provide highly reliable real -time data on structural condition but\, both because of economic reasons and of the difficult-to-access areas\, not all the structures and infrastr ucture can be monitored with traditional techniques. Remote sensing can pr ovide numerous advantages for structures and infrastructures monitoring\, because the information can be extracted “from distance” with high rel iability and relatively low costs. A comprehensive review on the remote se nsing techniques used for structure and infrastructure monitoring is prese nted in this paper\, focusing the attention especially on satellite remote sensing and UAV photogrammetry techniques. Nowadays\, SAR (Synthetic Aper ture Radar) and optical images are widely used for the aforementioned purp ose. From one side\, the PSIn-SAR (Permanent Scatterer SAR Interferometry) has been exploited to extract information on ground and infrastructure mo vements\; on the other side\, optical images allowed to understand the cha nges occurred in areas of interest by performing a change detection analys is with different algorithms. UAV photogrammetry outputs have been used fo r more detailed surveys on specific structures or infrastructures\, both t o metrically model the objects and\, consequently\, to detect the degradat ion phenomena. The main results and consideration obtained by the state of art are discussed and compared and the main advantages and limitations ar e\, finally\, outlined in order to provide general achievements within thi s field. DTSTAMP:20260522T041741Z LOCATION:Sala Videoconferenza @ PoliBa SUMMARY:Remote Sensing for structure and infrastructure monitoring: a revie w. - Alicandro Maria\, Sara Zollini\, Donatella Dominici\, Nicole Pascucci URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/Y7F39P/ END:VEVENT END:VCALENDAR