Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Salvati, R"'
Autor:
Collalti A, Biondo C, Buttafuoco G, Maesano M, Caloiero T, Lucà F, Pellicone G, Ricca N, Salvati R, Veltri A, Scarascia Mugnozza G, Matteucci G
Publikováno v:
Forest@, Vol 14, Iss 1, Pp 46-55 (2017)
Simulation, calibration and validation protocols for the model 3D-CMCC-CNR-FEM: a case study in the Bonis’ watershed (Calabria, Italy). At present, the climate changes issue is perhaps the greatest threat that is affecting people and the environmen
Externí odkaz:
https://doaj.org/article/1c3e6dc886124e43956a081f6b84998f
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 8, Iss 1, Pp 287-294 (2015)
The present study assesses the level of sensitivity to desertification of forest types in Italy between 2000 and 2010 on a fine resolution scale using the Environmental Sensitive Area (ESA) scheme. The proposed methodology identifies and ranks the le
Externí odkaz:
https://doaj.org/article/0e99f218a8ea48379f58d3935fb9095e
Publikováno v:
2022 IEEE 12th International Conference on RFID Technology and Applications (RFID-TA).
Autor:
Salvati, R, Palazzi, V, Cicioni, G, Simoncini, G, Alimenti, F, Tentzeris, Mm, Mezzanotte, P, Roselli, L
Publikováno v:
2022 Wireless Power Week (WPW).
Publikováno v:
2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC).
Publikováno v:
Climate Research, 2012 Jan 01. 54(3), 271-285.
Externí odkaz:
https://www.jstor.org/stable/24895239
Autor:
Simoncini, G., Salvati, R., Palazzi, V., Cicioni, G., Alimenti, F., Mezzanotte, P., Roselli, L.
Publikováno v:
2022 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT).
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 5, Iss 1, Pp 38-43 (2012)
The biogeochemical model BIOME-BGC is capable to estimate the main ecophysiological processes characterising all terrestrial ecosystems. To this aim it needs to be properly adapted to reproduce the behaviour of each biome type through a calibration p
Externí odkaz:
https://doaj.org/article/b865c07593fb4924810f04e1fb8d4113
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 4, Iss 1, Pp 121-127 (2011)
BIOME-BGC is a bio-geochemical model capable of estimating the water, carbon and nitrogen fluxes and storages of terrestrial ecosystems. Previous research demonstrated that, after proper calibration of its ecophysiological parameters, the model can r
Externí odkaz:
https://doaj.org/article/2cfa4a9191a7488b914fce2cad8fa06a
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