ANALYSIS OF MULTI-FREQUENCY SAR DATA FOR EVALUATING THEIR SENSITIVITY TO SOIL MOISTURE OVER AN AGRICULTURAL AREA IN ARGENTINA

被引:3
作者
Anconitano, Giovanni [1 ]
Acuna, Mario A. [2 ]
Guerriero, Leila [3 ]
Pierdicca, Nazzareno [1 ]
机构
[1] Sapienza Univ Rome, Dept Informat Engn Elect & Telecommun DIET, Rome, Italy
[2] Comis Nacl Actividades Espaciales CONAE, Buenos Aires, DF, Argentina
[3] Tor Vergata Univ Rome, Dept Civil Engn & Comp Sci Engn DICII, Rome, Italy
来源
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年
关键词
Soil moisture; L-band; C-band; SAOCOM-1A; Sentinel-1A;
D O I
10.1109/IGARSS46834.2022.9884232
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this paper, a joint analysis of multi-frequency SAR data has been performed to assess their sensitivity to soil moisture variations over an agricultural area. The main objective was evaluating the performances offered by C and L bands in terms of sensitivity to soil moisture. We used L-band quad-polarimetric data acquired by SAOCOM-1A and C-band dual-polarimetric data collected by Sentinel-1A over an agricultural area located in the Cordoba Province, Argentina. We analyzed the temporal evolution of the backscattering coefficient at different polarizations with respect to in-situ soil moisture measurements collected during a field campaign conducted by the Argentinian Space Agency as well as data recorded by a permanent network of ground stations. Sensitivity to other variables, such as the NDVI, is also discussed and analyzed.
引用
收藏
页码:5716 / 5719
页数:4
相关论文
共 11 条
  • [1] Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
    Bauer-Marschallingere, Bernhard
    Freeman, Vahid
    Cao, Senmao
    Paulik, Christoph
    Schaufler, Stefan
    Stachl, Tobias
    Modanesi, Sara
    Massario, Christian
    Ciabatta, Luca
    Brocca, Luca
    Wagner, Wolfgang
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (01): : 520 - 539
  • [2] Davidson M. W., 2021, 2021 INT GEOSC REM S, P872, DOI DOI 10.1109/IGARSS47720.2021.9554018
  • [3] Observing and Modeling Multifrequency Scattering of Maize During the Whole Growth Cycle
    Della Vecchia, Andrea
    Ferrazzoli, Paolo
    Guerriero, Leila
    Ninivaggi, Luca
    Strozzi, Tazio
    Wegmueller, Urs
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (11): : 3709 - 3718
  • [4] Empirical fitting of forward backscattering models for multitemporal retrieval of soil moisture from radar data at L-band
    Fascetti, Fabio
    Pierdicca, Nazzareno
    Pulvirenti, Luca
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2017, 11
  • [5] Potential of Estimating Soil Moisture Under Vegetation Cover by Means of PolSAR
    Hajnsek, Irena
    Jagdhuber, Thomas
    Schcoen, Helmet
    Papathanassiou, Konstantinos Panagiotis
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (02): : 442 - 454
  • [6] NASA-ISRO Synthetic Aperture Radar (NISAR) Mission
    Kellogg, Kent
    Hoffman, Pamela
    Standley, Shaun
    Shaffer, Scott
    Rosen, Paul
    Edelstein, Wendy
    Dunn, Charles
    Baker, Charles
    Barela, Phillip
    Shen, Yuhsyen
    Guerrero, Ana Maria
    Xaypraseuth, Peter
    Sagi, V. Raju
    Sreekantha, C., V
    Harinath, Nandini
    Kumar, Raj
    Bhan, Rakesh
    Sarma, C. V. H. S.
    [J]. 2020 IEEE AEROSPACE CONFERENCE (AEROCONF 2020), 2020,
  • [7] Robust retrieval of soil moisture at field scale across wide-ranging SAR incidence angles for soybean, wheat, forage, oat and grass
    Kim, Seung-Bum
    Liao, Tien-Hao
    [J]. REMOTE SENSING OF ENVIRONMENT, 2021, 266
  • [8] Pampaloni P., 2004, RADIO SCI B
  • [9] A Prototype Software Package to Retrieve Soil Moisture From Sentinel-1 Data by Using a Bayesian Multitemporal Algorithm
    Pierdicca, Nazzareno
    Pulvirenti, Luca
    Pace, Gaetano
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (01) : 153 - 166
  • [10] Van Zyl J., 2010, JPL SPACE SCI TECHNO