Forests play a crucial role in the climate change mitigation by acting as sinks for carbon and, consequently, reducing the CO2 concentration in the atmosphere and slowing global warming. For this reason, above ground biomass (AGB) estimation is essential for effectively monitoring forest health around the globe. Although remote sensing–based forest AGB quantification can be pursued in different ways, in this work we discuss a new technique for vegetation observation through the use of altimetry data that has been introduced by the ESA-funded ALtimetry for BIOMass (ALBIOM) project. ALBIOM investigates the possibility of retrieving forest biomass through Copernicus Sentinel 3 Synthetic Aperture Radar Altimeter (SRAL) measurements at Ku and C bands in low and high resolution mode. To reach this goal, a simulator able to reproduce the altimeter acquisition system and the scattering phenomena that occur in the interaction of the radar altimeter pulse with vegetated surfaces has been developed. The Tor Vergata Vegetation Scattering Model (TOVSM) developed at Tor Vergata University has been exploited to simulate the contribution from the vegetation volume via the modelling of the backscattering of forest canopy through a discrete scatterer representation. A modification of the SAVERS (Soil And Vegetation Reflection Simulator) simulator developed by the team for Global Navigation Satellite System Reflectometry over land has also been taken into account to simulate the soil contribution.

An electromagnetic simulator for sentinel-3 sar altimeter waveforms over land part II: forests / De Felice Proia, G.; Restano, M.; Comite, D.; Clarizia, M. P.; Benveniste, J.; Pierdicca, N.; Guerriero, L.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 60:(2022), pp. 1-10. [10.1109/TGRS.2022.3210722]

An electromagnetic simulator for sentinel-3 sar altimeter waveforms over land part II: forests

Restano M.;Comite D.;Pierdicca N.;
2022

Abstract

Forests play a crucial role in the climate change mitigation by acting as sinks for carbon and, consequently, reducing the CO2 concentration in the atmosphere and slowing global warming. For this reason, above ground biomass (AGB) estimation is essential for effectively monitoring forest health around the globe. Although remote sensing–based forest AGB quantification can be pursued in different ways, in this work we discuss a new technique for vegetation observation through the use of altimetry data that has been introduced by the ESA-funded ALtimetry for BIOMass (ALBIOM) project. ALBIOM investigates the possibility of retrieving forest biomass through Copernicus Sentinel 3 Synthetic Aperture Radar Altimeter (SRAL) measurements at Ku and C bands in low and high resolution mode. To reach this goal, a simulator able to reproduce the altimeter acquisition system and the scattering phenomena that occur in the interaction of the radar altimeter pulse with vegetated surfaces has been developed. The Tor Vergata Vegetation Scattering Model (TOVSM) developed at Tor Vergata University has been exploited to simulate the contribution from the vegetation volume via the modelling of the backscattering of forest canopy through a discrete scatterer representation. A modification of the SAVERS (Soil And Vegetation Reflection Simulator) simulator developed by the team for Global Navigation Satellite System Reflectometry over land has also been taken into account to simulate the soil contribution.
2022
altimetry; forests; sentinel-3; simulations
01 Pubblicazione su rivista::01a Articolo in rivista
An electromagnetic simulator for sentinel-3 sar altimeter waveforms over land part II: forests / De Felice Proia, G.; Restano, M.; Comite, D.; Clarizia, M. P.; Benveniste, J.; Pierdicca, N.; Guerriero, L.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - 60:(2022), pp. 1-10. [10.1109/TGRS.2022.3210722]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1657104
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