SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data

Anna Balenzano; Francesco Mattia; Giuseppe Satalino; Valentijn Pauwels; Paul Snoeij

doi:10.1109/IGARSS.2012.6351332

SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data

Anna Balenzano, Francesco Mattia, Giuseppe Satalino, Valentijn Pauwels, Paul Snoeij

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

34 Citations (Scopus)

Abstract

This paper describes and assesses the quality of the algorithm, 'Soil MOisture retrieval from multi-temporal SAR data' (SMOSAR), developed in view of the forthcoming European Space Agency (ESA) Sentinel-1 (S-1) mission. SMOSAR retrieves soil moisture (m_v) products at high spatial resolution (i.e. less than 1km) from dense time series of either single (i.e. HH or VV) or dual polarized (i.e. HH+HV or VV+VH) S-1 data. The assessment of the algorithm performance is based on time series of ENVISAT/ASAR data collected over the DEMMIN site (Germany) in 2006 and over the Matera site (Italy) in 2003 and 2005 and RADARSAT-2 data acquired over the Flevoland site (The Netherlands) in 2009. Results indicate that m_v can be retrieved with an accuracy of 5% at HH polarization, whereas at VV polarization more investigations are required to provide reliable figure for the retrievable accuracy.

Original language	English
Title of host publication	IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1200-1203
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351332
Publication status	Published - 2012
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium 2012 - International Congress Centre, Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 Conference number: 32nd http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6334512 (IEEE Conference Proceedings)

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium 2012
Abbreviated title	IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6334512 (IEEE Conference Proceedings)

Keywords

hydrology
retrieval algorithm
Sentinel-1
soil moisture
Synthetic Aperture Radar (SAR)

Access to Document

10.1109/IGARSS.2012.6351332

Cite this

@inproceedings{d31e17299b2c497396923243ea6f224e,

title = "SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data",

abstract = "This paper describes and assesses the quality of the algorithm, 'Soil MOisture retrieval from multi-temporal SAR data' (SMOSAR), developed in view of the forthcoming European Space Agency (ESA) Sentinel-1 (S-1) mission. SMOSAR retrieves soil moisture (mv) products at high spatial resolution (i.e. less than 1km) from dense time series of either single (i.e. HH or VV) or dual polarized (i.e. HH+HV or VV+VH) S-1 data. The assessment of the algorithm performance is based on time series of ENVISAT/ASAR data collected over the DEMMIN site (Germany) in 2006 and over the Matera site (Italy) in 2003 and 2005 and RADARSAT-2 data acquired over the Flevoland site (The Netherlands) in 2009. Results indicate that mv can be retrieved with an accuracy of 5% at HH polarization, whereas at VV polarization more investigations are required to provide reliable figure for the retrievable accuracy.",

keywords = "hydrology, retrieval algorithm, Sentinel-1, soil moisture, Synthetic Aperture Radar (SAR)",

author = "Anna Balenzano and Francesco Mattia and Giuseppe Satalino and Valentijn Pauwels and Paul Snoeij",

year = "2012",

doi = "10.1109/IGARSS.2012.6351332",

language = "English",

pages = "1200--1203",

booktitle = "IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Geoscience and Remote Sensing Symposium 2012, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6334512",

}

Balenzano, A, Mattia, F, Satalino, G, Pauwels, V & Snoeij, P 2012, SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data. in IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium., 6351332, IEEE, Institute of Electrical and Electronics Engineers, pp. 1200-1203, IEEE International Geoscience and Remote Sensing Symposium 2012, Munich, Berlin, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6351332

SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data. / Balenzano, Anna; Mattia, Francesco; Satalino, Giuseppe et al.
IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 1200-1203 6351332.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data

AU - Balenzano, Anna

AU - Mattia, Francesco

AU - Satalino, Giuseppe

AU - Pauwels, Valentijn

AU - Snoeij, Paul

N1 - Conference code: 32nd

PY - 2012

Y1 - 2012

N2 - This paper describes and assesses the quality of the algorithm, 'Soil MOisture retrieval from multi-temporal SAR data' (SMOSAR), developed in view of the forthcoming European Space Agency (ESA) Sentinel-1 (S-1) mission. SMOSAR retrieves soil moisture (mv) products at high spatial resolution (i.e. less than 1km) from dense time series of either single (i.e. HH or VV) or dual polarized (i.e. HH+HV or VV+VH) S-1 data. The assessment of the algorithm performance is based on time series of ENVISAT/ASAR data collected over the DEMMIN site (Germany) in 2006 and over the Matera site (Italy) in 2003 and 2005 and RADARSAT-2 data acquired over the Flevoland site (The Netherlands) in 2009. Results indicate that mv can be retrieved with an accuracy of 5% at HH polarization, whereas at VV polarization more investigations are required to provide reliable figure for the retrievable accuracy.

AB - This paper describes and assesses the quality of the algorithm, 'Soil MOisture retrieval from multi-temporal SAR data' (SMOSAR), developed in view of the forthcoming European Space Agency (ESA) Sentinel-1 (S-1) mission. SMOSAR retrieves soil moisture (mv) products at high spatial resolution (i.e. less than 1km) from dense time series of either single (i.e. HH or VV) or dual polarized (i.e. HH+HV or VV+VH) S-1 data. The assessment of the algorithm performance is based on time series of ENVISAT/ASAR data collected over the DEMMIN site (Germany) in 2006 and over the Matera site (Italy) in 2003 and 2005 and RADARSAT-2 data acquired over the Flevoland site (The Netherlands) in 2009. Results indicate that mv can be retrieved with an accuracy of 5% at HH polarization, whereas at VV polarization more investigations are required to provide reliable figure for the retrievable accuracy.

KW - hydrology

KW - retrieval algorithm

KW - Sentinel-1

KW - soil moisture

KW - Synthetic Aperture Radar (SAR)

UR - http://www.scopus.com/inward/record.url?scp=84873121251&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2012.6351332

DO - 10.1109/IGARSS.2012.6351332

M3 - Conference Paper

AN - SCOPUS:84873121251

SP - 1200

EP - 1203

BT - IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Geoscience and Remote Sensing Symposium 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

SMOSAR algorithm for soil moisture retrieval using Sentinel-1 data

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this