The scientist’s investigation covers issues in Eddy covariance, Remote sensing, Atmospheric sciences, Climate change and Climatology. His Eddy covariance study is focused on Ecosystem in general. His study in the field of Hyperspectral imaging is also linked to topics like Spatial variability.
His research integrates issues of Planetary boundary layer, Boundary layer, Carbon dioxide flux and Meteorology in his study of Atmospheric sciences. His research in Climate change focuses on subjects like Greenhouse gas, which are connected to Carbon exchange, Urban area and Atmosphere. His Climatology research is multidisciplinary, incorporating perspectives in Terrestrial ecosystem and Arctic.
Beniamino Gioli spends much of his time researching Eddy covariance, Atmospheric sciences, Meteorology, Remote sensing and Climatology. His Eddy covariance research includes elements of Seasonality, Climate change, Vegetation and Greenhouse gas. His Atmospheric sciences research also works with subjects such as
His Wind speed, Planetary boundary layer and Sensible heat study, which is part of a larger body of work in Meteorology, is frequently linked to Flux, bridging the gap between disciplines. The study incorporates disciplines such as Photosynthetic efficiency and Scale in addition to Remote sensing. He combines subjects such as Terrestrial ecosystem and Arctic with his study of Climatology.
Beniamino Gioli mainly investigates Atmospheric sciences, Eddy covariance, Remote sensing, Greenhouse gas and Ecosystem. His work carried out in the field of Atmospheric sciences brings together such families of science as Methane emissions, Climate change, Vapour Pressure Deficit and Vegetation. Beniamino Gioli has researched Eddy covariance in several fields, including Earth system science and Phenology.
He studies Hyperspectral imaging which is a part of Remote sensing. His study in the field of Fugitive emissions also crosses realms of Metropolitan area. The Ecosystem study combines topics in areas such as Seasonality, Scale and Precipitation.
Beniamino Gioli mainly focuses on Atmospheric sciences, Eddy covariance, Greenhouse gas, Remote sensing and Aerosol. By researching both Atmospheric sciences and Spatial variability, he produces research that crosses academic boundaries. His Eddy covariance study integrates concerns from other disciplines, such as Dispersion and Methane emissions.
His work on Fugitive emissions as part of general Greenhouse gas study is frequently linked to Metropolitan area, bridging the gap between disciplines. His Remote sensing study combines topics in areas such as Particulates and Linearity. His research in Aerosol intersects with topics in Pollutant, Relative humidity and Environmental protection.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture
Alessandro Matese;Piero Toscano;Salvatore Filippo Di Gennaro;Lorenzo Genesio.
Remote Sensing (2015)
Forestry applications of UAVs in Europe: a review
Chiara Torresan;Andrea Berton;Federico Carotenuto;Salvatore Filippo Di Gennaro.
International Journal of Remote Sensing (2017)
Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)
Alexander Damm;Jan Elbers;André Erler;Beniamino Gioli.
Global Change Biology (2010)
Cold season emissions dominate the Arctic tundra methane budget
Donatella Zona;Donatella Zona;Beniamino Gioli;Róisín Commane;Jakob Lindaas.
Proceedings of the National Academy of Sciences of the United States of America (2016)
Precipitation pulses enhance respiration of Mediterranean ecosystems: the balance between organic and inorganic components of increased soil CO2 efflux
I. Inglima;G. Alberti;T. Bertolini;F. P. Vaccari.
Global Change Biology (2009)
The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence
M. Lothon;F. Lohou;D. Pino;F. Couvreux.
Atmospheric Chemistry and Physics (2014)
Bridging the gap between atmospheric concentrations and local ecosystem measurements
T. Lauvaux;B. Gioli;C. Sarrat;P.J. Rayner.
Geophysical Research Letters (2009)
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu.
Scientific Data (2020)
CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands.
U. Rascher;G. Agati;L. Alonso;G. Cecchi.
Future atmospheric CO2 leads to delayed autumnal senescence
Gail Taylor;Matthew J. Tallis;Christian P. Giardina;Kevin E. Percy.
Global Change Biology (2008)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: