His primary areas of investigation include Remote sensing, Taiga, Synthetic aperture radar, L band and Interferometric synthetic aperture radar. His work on Spatial distribution as part of general Remote sensing study is frequently linked to Stock, therefore connecting diverse disciplines of science. The concepts of his Taiga study are interwoven with issues in Mean squared error, Boreal and Coherence.
His studies deal with areas such as Temperate rainforest, Carbon cycle and Biome as well as Boreal. Maurizio Santoro works mostly in the field of Synthetic aperture radar, limiting it down to topics relating to Pixel and, in certain cases, Spatial variability and Inversion. Maurizio Santoro interconnects Canopy and Backscatter in the investigation of issues within L band.
His primary scientific interests are in Remote sensing, Synthetic aperture radar, Taiga, Backscatter and Interferometric synthetic aperture radar. Maurizio Santoro studies Remote sensing, namely L band. His Synthetic aperture radar research includes themes of Terrain, Radar imaging, Mediterranean climate, Decorrelation and Digital elevation model.
His Taiga study combines topics in areas such as Biomass, Boreal, Atmospheric sciences and Canopy. In his research, Coherence is intimately related to Vegetation, which falls under the overarching field of Backscatter. His work in Interferometric synthetic aperture radar addresses issues such as C band, which are connected to fields such as Volume estimation.
Maurizio Santoro mostly deals with Remote sensing, Biomass, Atmospheric sciences, Above ground and Synthetic aperture radar. Maurizio Santoro combines subjects such as Mean squared error and Aboveground biomass with his study of Remote sensing. His research integrates issues of Allometry, Canopy, Tropics, Physical geography and Scale in his study of Biomass.
His Allometry study combines topics from a wide range of disciplines, such as Pixel, Land management and Taiga. His Atmospheric sciences research is multidisciplinary, relying on both Scale, Temperate climate, Land cover, Vegetation and Biomass. As part of his studies on Synthetic aperture radar, Maurizio Santoro frequently links adjacent subjects like Water content.
His primary areas of study are Remote sensing, Synthetic aperture radar, Interferometric synthetic aperture radar, Climate change and Land cover. His Remote sensing study integrates concerns from other disciplines, such as Aboveground biomass and Taiga. His Synthetic aperture radar research is multidisciplinary, incorporating elements of Forest structure and Water content.
The study incorporates disciplines such as Regression analysis, Coherence, Volume estimation and Robustness in addition to Interferometric synthetic aperture radar. His study in the field of Carbon stock also crosses realms of Action. His Land cover research incorporates themes from Seawater, Bank, Climate model and Shore.
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Global covariation of carbon turnover times with climate in terrestrial ecosystems
Nuno Carvalhais;Matthias Forkel;Myroslava Khomik;Jessica Bellarby.
Nature (2014)
Carbon stock and density of northern boreal and temperate forests
Martin Thurner;Christian Beer;Maurizio Santoro;Nuno Carvalhais.
Global Ecology and Biogeography (2014)
Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements
Maurizio Santoro;Christian Beer;Oliver Cartus;Christiane Schmullius.
Remote Sensing of Environment (2011)
Stem volume retrieval in boreal forests from ERS-1/2 interferometry
Maurizio Santoro;Jan Askne;Gary Smith;Johan E.S Fransson.
Remote Sensing of Environment (2002)
Multitemporal repeat-pass SAR interferometry of boreal forests
J. Askne;M. Santoro;G. Smith;J.E.S. Fransson.
IEEE Transactions on Geoscience and Remote Sensing (2003)
Mapping forest aboveground biomass in the Northeastern United States with ALOS PALSAR dual-polarization L-band
Oliver Cartus;Maurizio Santoro;Josef Kellndorfer.
Remote Sensing of Environment (2012)
Sentinel-1 Support in the GAMMA Software
Urs Wegnüller;Charles Werner;Tazio Strozzi;Andreas Wiesmann.
Procedia Computer Science (2016)
Assessment of stand-wise stem volume retrieval in boreal forest from JERS-1 L-band SAR backscatter
M. Santoro;Leif E.B. Eriksson;Jan Askne;C. Schmullius.
International Journal of Remote Sensing (2006)
Signatures of ALOS PALSAR L-Band Backscatter in Swedish Forest
M. Santoro;J.E.S. Fransson;L.E.B. Eriksson;M. Magnusson.
IEEE Transactions on Geoscience and Remote Sensing (2009)
Sentinel-1 support in the GAMMA Software
Urs Wegmuller;Charles Werner;Tazio Stroozzi;Andreas Wiesmann.
Fringe2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop (2015)
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