In this paper, the results obtained by applying two polarimetric SAR decompositions to a time-series of L-band radar data, in terms of scattering contributions, are compared with the simulations of the Tor Vergata electromagnetic model. The objective was to evaluate the capability of polarimetric SAR decompositions to single out those scattering mechanisms mostly correlated to soil moisture or vegetation. We performed the analysis by using L-band full-polarimetric SAOCOM-1A data acquired over an agricultural region in the Monte Buey site (Córdoba Province, Argentina) and by considering five corn fields.

Analysis of polarimetric SAR data for soil moisture retrieval / Anconitano, Giovanni; Sarabakha, Olena; Siad, Si Mokrane; Pierdicca, Nazzareno; Papale, Lorenzo G.; Guerriero, Leila; Acuña, Mario A.. - (2023), pp. 1652-1655. (Intervento presentato al convegno 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 tenutosi a Pasadena; USA) [10.1109/IGARSS52108.2023.10282197].

Analysis of polarimetric SAR data for soil moisture retrieval

Anconitano, Giovanni;Sarabakha, Olena;SIAD, Si Mokrane;Pierdicca, Nazzareno;
2023

Abstract

In this paper, the results obtained by applying two polarimetric SAR decompositions to a time-series of L-band radar data, in terms of scattering contributions, are compared with the simulations of the Tor Vergata electromagnetic model. The objective was to evaluate the capability of polarimetric SAR decompositions to single out those scattering mechanisms mostly correlated to soil moisture or vegetation. We performed the analysis by using L-band full-polarimetric SAOCOM-1A data acquired over an agricultural region in the Monte Buey site (Córdoba Province, Argentina) and by considering five corn fields.
2023
2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
L-band; polsAR; SAOCOM-1A; soil moisture; vegetation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Analysis of polarimetric SAR data for soil moisture retrieval / Anconitano, Giovanni; Sarabakha, Olena; Siad, Si Mokrane; Pierdicca, Nazzareno; Papale, Lorenzo G.; Guerriero, Leila; Acuña, Mario A.. - (2023), pp. 1652-1655. (Intervento presentato al convegno 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 tenutosi a Pasadena; USA) [10.1109/IGARSS52108.2023.10282197].
File allegati a questo prodotto
File Dimensione Formato  
Anconitano_Analysis_2023.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.13 MB
Formato Adobe PDF
1.13 MB Adobe PDF   Contatta l'autore
Anconitano_Analysis_Indice_2023.pdf

solo gestori archivio

Note: Indice
Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.77 MB
Formato Adobe PDF
1.77 MB Adobe PDF   Contatta l'autore
Anconitano_Analysis_Frontespizio_2023.pdf

solo gestori archivio

Note: Frontespizio
Tipologia: Altro materiale allegato
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 889.4 kB
Formato Adobe PDF
889.4 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1694302
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact