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.

Comite, D., Pierdicca, N., Clarizia, M.p., Pascual, D., De Felice Proia, G., Guerriero, L., et al. (2021). Estimating biomass from sentinel-3 altimetry data: a sensitivity analysis. In IGARSS 2021: 2021 IEEE International Geoscience and Remote Sensing Symposium: proceedings (pp.2389-2392). New York : IEEE [10.1109/igarss47720.2021.9554308].

Estimating biomass from sentinel-3 altimetry data: a sensitivity analysis

De Felice Proia, G.;Guerriero, L.;Vittucci, C.;
2021-01-01

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 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Brussels, Belgium
2021
IEEE
Rilevanza internazionale
2021
Settore ING-INF/02
Settore IINF-02/A - Campi elettromagnetici
English
Forest biomass
Radar altimetry
Radar cross section
Sentinel 3
Time-tracking window
Intervento a convegno
Comite, D., Pierdicca, N., Clarizia, M.p., Pascual, D., De Felice Proia, G., Guerriero, L., et al. (2021). Estimating biomass from sentinel-3 altimetry data: a sensitivity analysis. In IGARSS 2021: 2021 IEEE International Geoscience and Remote Sensing Symposium: proceedings (pp.2389-2392). New York : IEEE [10.1109/igarss47720.2021.9554308].
Comite, D; Pierdicca, N; Clarizia, Mp; Pascual, D; De Felice Proia, G; Guerriero, L; Vittucci, C; Restano, M; Benveniste, J
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/396324
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