Browsing by Subject "Reflection"

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  • Coccolini, Federico; Cicuttin, Enrico; Cremonini, Camilla; Tartaglia, Dario; Viaggi, Bruno; Kuriyama, Akira; Picetti, Edoardo; Ball, Chad; Abu-Zidan, Fikri; Ceresoli, Marco; Turri, Bruno; Jain, Sumita; Palombo, Carlo; Guirao, Xavier; Rodrigues, Gabriel; Gachabayov, Mahir; Machado, Fernando; Eftychios, Lostoridis; Kanj, Souha S.; Di Carlo, Isidoro; Di Saverio, Salomone; Khokha, Vladimir; Kirkpatrick, Andrew; Massalou, Damien; Forfori, Francesco; Corradi, Francesco; Delibegovic, Samir; Machain Vega, Gustavo M.; Fantoni, Massimo; Demetriades, Demetrios; Kapoor, Garima; Kluger, Yoram; Ansari, Shamshul; Maier, Ron; Leppaniemi, Ari; Hardcastle, Timothy; Vereczkei, Andras; Karamagioli, Evika; Pikoulis, Emmanouil; Pistello, Mauro; Sakakushev, Boris E.; Navsaria, Pradeep H.; Galeiras, Rita; Yahya, Ali I.; Osipov, Aleksei V.; Dimitrov, Evgeni; Doklestic, Krstina; Pisano, Michele; Malacarne, Paolo; Carcoforo, Paolo; Sibilla, Maria Grazia; Kryvoruchko, Igor A.; Bonavina, Luigi; Kim, Jae Il; Shelat, Vishal G.; Czepiel, Jacek; Maseda, Emilio; Marwah, Sanjay; Chirica, Mircea; Biancofiore, Giandomenico; Podda, Mauro; Cobianchi, Lorenzo; Ansaloni, Luca; Fugazzola, Paola; Seretis, Charalampos; Gomez, Carlos Augusto; Tumietto, Fabio; Malbrain, Manu; Reichert, Martin; Augustin, Goran; Amato, Bruno; Puzziello, Alessandro; Hecker, Andreas; Gemignani, Angelo; Isik, Arda; Cucchetti, Alessandro; Nacoti, Mirco; Kopelman, Doron; Mesina, Cristian; Ghannam, Wagih; Ben-Ishay, Offir; Dhingra, Sameer; Coimbra, Raul; Moore, Ernest E.; Cui, Yunfeng; Quiodettis, Martha A.; Bala, Miklosh; Testini, Mario; Diaz, Jose; Girardis, Massimo; Biffl, Walter L.; Hecker, Matthias; Sall, Ibrahima; Boggi, Ugo; Materazzi, Gabriele; Ghiadoni, Lorenzo; Matsumoto, Junichi; Zuidema, Wietse P.; Ivatury, Rao; Enani, Mushira A.; Litvin, Andrey; Al-Hasan, Majdi N.; Demetrashvili, Zaza; Baraket, Oussama; Ordonez, Carlos A.; Negoi, Ionut; Kiguba, Ronald; Memish, Ziad A.; Elmangory, Mutasim M.; Tolonen, Matti; Das, Korey; Ribeiro, Julival; O'Connor, Donal B.; Tan, Boun Kim; Van Goor, Harry; Baral, Suman; De Simone, Belinda; Corbella, Davide; Brambillasca, Pietro; Scaglione, Michelangelo; Basolo, Fulvio; De'Angelis, Nicola; Bendinelli, Cino; Weber, Dieter; Pagani, Leonardo; Monti, Cinzia; Baiocchi, Gianluca; Chiarugi, Massimo; Catena, Fausto; Sartelli, Massimo (2021)
    On January 2020, the WHO Director General declared that the outbreak constitutes a Public Health Emergency of International Concern. The world has faced a worldwide spread crisis and is still dealing with it. The present paper represents a white paper concerning the tough lessons we have learned from the COVID-19 pandemic. Thus, an international and heterogenous multidisciplinary panel of very differentiated people would like to share global experiences and lessons with all interested and especially those responsible for future healthcare decision making. With the present paper, international and heterogenous multidisciplinary panel of very differentiated people would like to share global experiences and lessons with all interested and especially those responsible for future healthcare decision making.
  • Markelin, L.; Honkavaara, E.; Näsi, R.; Viljanen, N.; Rosnell, T.; Hakala, T.; Vastaranta, M.; Koivisto, T.; Holopainen, M. (2017)
    Novel miniaturized multi- and hyperspectral imaging sensors on board of unmanned aerial vehicles have recently shown great potential in various environmental monitoring and measuring tasks such as precision agriculture and forest management. These systems can be used to collect dense 3D point clouds and spectral information over small areas such as single forest stands or sample plots. Accurate radiometric processing and atmospheric correction is required when data sets from different dates and sensors, collected in varying illumination conditions, are combined. Performance of novel radiometric block adjustment method, developed at Finnish Geospatial Research Institute, is evaluated with multitemporal hyperspectral data set of seedling stands collected during spring and summer 2016. Illumination conditions during campaigns varied from bright to overcast. We use two different methods to produce homogenous image mosaics and hyperspectral point clouds: image-wise relative correction and image-wise relative correction with BRDF. Radiometric datasets are converted to reflectance using reference panels and changes in reflectance spectra is analysed. Tested methods improved image mosaic homogeneity by 5% to 25%. Results show that the evaluated method can produce consistent reflectance mosaics and reflectance spectra shape between different areas and dates. © Authors 2017.