ALtimetry for BIOMass (ALBIOM) is a research project funded by the European Space Agency to study the possibility of estimating above ground biomass by means of low- and high-resolution Sentinel-3 altimetry data. We present preliminary results of a sensitivity analysis, developed to assess in what extent waveforms and altimetry observables are affected by the presence of forests. Ku- and C-band altimetry data have been collected and processed to properly select well-tracked waveforms over land, which are then related to collocated biomass data. A statistical analysis has been performed, highlighting a sensitivity of the estimated normalized radar cross section with respect to forest biomass, even though it is strongly disturbed by the soil topography within the radar footprint. Additionally, the inaccurate positioning of the time-tracking window limits the number of useful data.

ESTIMATING BIOMASS FROM SENTINEL-3 ALTIMETRY DATA: A SENSITIVITY ANALYSIS / Comite, D.; Pierdicca, N.; Clarizia, M. P.; De Felice Proia, G.; Guerriero, L.; Vittucci, C.; Pascual, D.; Restano, M.; Benveniste, J.. - (2021), pp. 2389-2392. (Intervento presentato al convegno 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 tenutosi a bel) [10.1109/IGARSS47720.2021.9554308].

ESTIMATING BIOMASS FROM SENTINEL-3 ALTIMETRY DATA: A SENSITIVITY ANALYSIS

Comite D.;Pierdicca N.;Guerriero L.;Vittucci C.;Restano M.;
2021

Abstract

ALtimetry for BIOMass (ALBIOM) is a research project funded by the European Space Agency to study the possibility of estimating above ground biomass by means of low- and high-resolution Sentinel-3 altimetry data. We present preliminary results of a sensitivity analysis, developed to assess in what extent waveforms and altimetry observables are affected by the presence of forests. Ku- and C-band altimetry data have been collected and processed to properly select well-tracked waveforms over land, which are then related to collocated biomass data. A statistical analysis has been performed, highlighting a sensitivity of the estimated normalized radar cross section with respect to forest biomass, even though it is strongly disturbed by the soil topography within the radar footprint. Additionally, the inaccurate positioning of the time-tracking window limits the number of useful data.
2021
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
forest biomass; radar altimetry; radar cross section; Sentinel 3; time-tracking window
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
ESTIMATING BIOMASS FROM SENTINEL-3 ALTIMETRY DATA: A SENSITIVITY ANALYSIS / Comite, D.; Pierdicca, N.; Clarizia, M. P.; De Felice Proia, G.; Guerriero, L.; Vittucci, C.; Pascual, D.; Restano, M.; Benveniste, J.. - (2021), pp. 2389-2392. (Intervento presentato al convegno 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 tenutosi a bel) [10.1109/IGARSS47720.2021.9554308].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1657105
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