Zobrazeno 1 - 10
of 141
pro vyhledávání: '"G. Fontanelli"'
Autor:
M. Brogioni, M. J. Andrews, S. Urbini, K. C. Jezek, J. T. Johnson, M. Leduc-Leballeur, G. Macelloni, S. F. Ackley, A. Bringer, L. Brucker, O. Demir, G. Fontanelli, C. Yardim, L. Kaleschke, F. Montomoli, L. Tsang, S. Becagli, M. Frezzotti
Publikováno v:
The Cryosphere, Vol 17, Pp 255-278 (2023)
An airborne microwave wide-band radiometer (500–2000 MHz) was operated for the first time in Antarctica to better understand the emission properties of sea ice, outlet glaciers and the interior ice sheet from Terra Nova Bay to Dome C. The different
Externí odkaz:
https://doaj.org/article/6ae32501562c4c19a7992634f7e6f22c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 291-296 (2020)
Remote sensing has become an important mean to assess crop areas, specially for the identification of crop types. Google Earth Engine (GEE) is a free platform that provides a large number of satellite images from different constellations. Moreover, G
Externí odkaz:
https://doaj.org/article/702140091d7d4eb5a8bc184c4fd4e3de
Autor:
D. Stroppiana, Mirco Boschetti, R. Azar, M. Barbieri, F. Collivignarelli, L. Gatti, G. Fontanelli, L. Busetto, F. Holecz
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 206-220 (2019)
Rice mapping products were derived from Sentinel-1A and Landsat-8 OLI multi-temporal imagery over Northern Italy at the early stages of the 2015 growing season. A rule-based algorithm was applied to synthetic statistical metrics (TSDs-Temporal Spectr
Externí odkaz:
https://doaj.org/article/02e9165739e848df8d3fb8b214ca5dce
Autor:
G. García, M. Brogioni, V. Venturini, L. Rodriguez, G. Fontanelli, E. Walker, S. Graciani, G. Macelloni
Publikováno v:
Revista de Teledetección, Vol 0, Iss 46, Pp 73-81 (2016)
The first five centimeters of soil form an interface where the main heat fluxes exchanges between the land surface and the atmosphere occur. Besides ground measurements, remote sensing has proven to be an excellent tool for the monitoring of spatial
Externí odkaz:
https://doaj.org/article/c4658366e6d043818ae3336676863788
Autor:
S. Pettinato, G. Ramat, N. Souissi, F. Baroni, E. Santi, G. Fontanelli, A. Lapini, S. Paloscia, S. Pilia, L. Santurri, E. Palchetti
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a0f8a96bec834a724ed3e478357bd47
https://doi.org/10.1109/igarss46834.2022.9884847
https://doi.org/10.1109/igarss46834.2022.9884847
Autor:
S. Paloscia, E. Santi, S. Pettinato, A. Lapini, G. Fontanelli, S. Pilia, F. Baroni, G. Ramat, L. Santurri, C. Notarnicola, L. De Gregorio, G. Cuozzo, D. Tapete, F. Cigna
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddf6c22c7c8c040a028bc3157507196f
https://doi.org/10.1109/igarss46834.2022.9884859
https://doi.org/10.1109/igarss46834.2022.9884859
Autor:
S. Paloscia, E. Santi, S. Pettinato, A. Lapini, G. Fontanelli, S. Pilia, F. Baroni, G. Ramat, L. Santurri
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1156854464b941115357040ae30d746b
https://doi.org/10.1109/igarss46834.2022.9883137
https://doi.org/10.1109/igarss46834.2022.9883137
Autor:
E. Santi, F. Baroni, G. Fontanelli, A. Lapini, E. Palchetti, S. Paloscia, P. Pampaloni, S. Pettinato, S. Pilia, G. Ramat, L. Santurri
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f183f028eb11c9e4fd8f15202a82cbbf
https://doi.org/10.1109/igarss46834.2022.9884950
https://doi.org/10.1109/igarss46834.2022.9884950
Akademický článek
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Publikováno v:
International journal of applied earth observation and geoinformation (Online) (2015). doi:10.1016/j.jag.2015.08.002
info:cnr-pdr/source/autori:Santi, E., S. Paloscia, S. Pettinato, G. Fontanelli/titolo:Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors./doi:10.1016%2Fj.jag.2015.08.002/rivista:International journal of applied earth observation and geoinformation (Online)/anno:2015/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Santi, E., S. Paloscia, S. Pettinato, G. Fontanelli/titolo:Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors./doi:10.1016%2Fj.jag.2015.08.002/rivista:International journal of applied earth observation and geoinformation (Online)/anno:2015/pagina_da:/pagina_a:/intervallo_pagine:/volume
Frequent and spatially distributed measurements of soil moisture (SMC), at different spatial scales, are advisable for all applications related to the environmental disciplines, such as climatology, meteorology, hydrology and agriculture. Satellite s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9d69f4c2d1aa95faa126779b6930d0
https://doi.org/10.1016/j.jag.2015.08.002
https://doi.org/10.1016/j.jag.2015.08.002