Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Davide Oscar Nitti"'
Autor:
Rosa Colacicco, Alberto Refice, Raffaele Nutricato, Fabio Bovenga, Giacomo Caporusso, Annarita D’Addabbo, Marco La Salandra, Francesco Paolo Lovergine, Davide Oscar Nitti, Domenico Capolongo
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 294 (2024)
High-resolution flood monitoring can be achieved relying on multi-temporal analysis of remote sensing SAR data, through the implementation of semi-automated systems. Exploiting a Bayesian inference framework, conditioned probabilities can be estimate
Externí odkaz:
https://doaj.org/article/4745ff85b36440ebb3f080c3f9372b33
Autor:
Giorgio Cascelli, Cataldo Guaragnella, Raffaele Nutricato, Khalid Tijani, Alberto Morea, Nicolò Ricciardi, Davide Oscar Nitti
Publikováno v:
Technologies, Vol 11, Iss 6, p 178 (2023)
Synthetic Aperture Radar (SAR) is a well-established 2D imaging technique employed as a consolidated practice in several oil spill monitoring services. In this scenario, onboard detection undoubtedly represents an interesting solution to reduce the l
Externí odkaz:
https://doaj.org/article/7dc6ad0291ed42b585f54420f0cdf62a
Autor:
Alberico Sonnessa, Annamaria di Lernia, Davide Oscar Nitti, Raffaele Nutricato, Eufemia Tarantino, Federica Cotecchia
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 117, Iss , Pp 103194- (2023)
Slow instability phenomena can turn into rapid events, showing sudden accelerations and potentially developing in a threat for structures and people. In such scenarios, an in-depth understanding of the spatial and temporal evolution of the ground sur
Externí odkaz:
https://doaj.org/article/b5a43a7cb75940908e3b6033d9e968b8
Autor:
Nicola Amoroso, Roberto Cilli, Davide Oscar Nitti, Raffaele Nutricato, Muzaffer Can Iban, Tommaso Maggipinto, Sabina Tangaro, Alfonso Monaco, Roberto Bellotti
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2560 (2023)
PSI data are extremely useful for monitoring on-ground displacements. In many cases, clustering algorithms are adopted to highlight the presence of homogeneous patterns; however, clustering algorithms can fail to consider spatial constraints and be p
Externí odkaz:
https://doaj.org/article/bb330e22b0a245e189cffb6a5818efa1
Autor:
Nicola Amoroso, Roberto Cilli, Loredana Bellantuono, Vincenzo Massimi, Alfonso Monaco, Davide Oscar Nitti, Raffaele Nutricato, Sergio Samarelli, Niccolò Taggio, Sabina Tangaro, Andrea Tateo, Luciano Guerriero, Roberto Bellotti
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3681 (2020)
Remote sensing images find application in several different domains, such as land cover or land usage observation, environmental monitoring, and urbanization. This latter field has recently witnessed an interesting development with the use of remote
Externí odkaz:
https://doaj.org/article/ea5aec663ca3499f875a635c6a78393d
Autor:
Maria Francesca Bruno, Matteo Gianluca Molfetta, Luigi Pratola, Michele Mossa, Raffaele Nutricato, Alberto Morea, Davide Oscar Nitti, Maria Teresa Chiaradia
Publikováno v:
Sensors, Vol 19, Iss 6, p 1399 (2019)
The traditional approach for coastal monitoring consists in ground investigations that are burdensome both in terms of logistics and costs, on a national or even regional scale. Earth Observation (EO) techniques can represent a cost-effective alterna
Externí odkaz:
https://doaj.org/article/2dd91714f3c048e790434ca28a4b3061
Autor:
Andrea Nettis, Vincenzo Massimi, Raffaele Nutricato, Davide Oscar Nitti, Sergio Samarelli, Giuseppina Uva
Publikováno v:
Procedia Structural Integrity. 44:1996-2003
Autor:
Rosa Colacicco, Alberto Refice, Raffaele Nutricato, Annarita D'Addabbo, Davide Oscar Nitti, Domenico Capolongo
Climate change and anthropogenic impact are intensifying the frequency and intensity of extreme flood events. This is particularly worrying in the Mediterranean area, which is highly vulnerable and therefore subject to increased flood risk. The monit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94ec8497873171463f7278068ed8400
https://doi.org/10.5194/egusphere-egu22-4403
https://doi.org/10.5194/egusphere-egu22-4403
Autor:
Fabio Bovenga, Alberto Refice, Ilenia Argentiero, Raffaele Nutricato, Davide Oscar Nitti, Guido Pasquariello, Giuseppe Spilotro
Multi-temporal SAR interferometry (MTInSAR), allows analysing wide areas, identifying critical ground instabilities, and studying the phenomenon evolution in a long time-scale. The identification of MTInSAR displacements trends showing non-linear kin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::676ac0f17a445610eb08980dc24f2217
https://doi.org/10.5194/egusphere-egu22-26
https://doi.org/10.5194/egusphere-egu22-26