CROP SCATTERING ANALYSIS OF L-BAND POLSAR DATA FOR VEGETATION AND SOIL MONITORING

被引:4
|
作者
Barber, Matias [1 ]
Lopez-Martinez, Carlos [2 ]
Grings, Francisco [1 ]
机构
[1] Inst Astron & Space Phys, Buenos Aires, DF, Argentina
[2] Univ Politecn Cataluna, BarcelonaTech, E-08028 Barcelona, Spain
来源
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年
关键词
SAR; PolSAR; L-Band; Crops; Soil; Scattering;
D O I
10.1109/IGARSS.2016.7730485
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Next L-band fully polarimetric Synthetic Aperture Radar (SAR) missions will provide meaningful and timely data over large agricultural areas. The purpose of this work is to evaluate the potential of L-band PolSAR (SAR polarimetry) for crop monitoring using incoherent target decomposition theorems applied to PolSAR data from the NASA/JPL UAVSAR airborne system over Canada. Polarimetric parameters Entropy, Mean Alpha Angle and Anisotropy are related to soil and vegetation water content, plant structure parameters (height and diameter) and the water distribution on the different plant parts (leaves, trunks, etc). Results are expected to contribute to the quantitative retrieval of physical parameters over croplands.
引用
收藏
页码:5686 / 5689
页数:4
相关论文
共 50 条
  • [21] Analysis of Data Acquisition Time on Soil Moisture Retrieval From Multiangle L-Band Observations
    Peischl, Sandy
    Walker, Jeffrey P.
    Ryu, Dongryeol
    Kerr, Yann H.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (02): : 966 - 971
  • [22] Forest vegetation Interaction with L-band Satellite Signals
    Podoprigora, Vladimir
    Sorokin, Anatoly
    REGIONAL PROBLEMS OF EARTH REMOTE SENSING (RPERS 2018), 2019, 75
  • [23] OPERATIONAL SOIL MOISTURE MAPPING AT C-BAND AND PERSPECTIVES FOR L-BAND
    Mattia, Francesco
    Balenzano, Anna
    Lovergine, Francesco Paolo
    Palmisano, Davide
    Satalino, Giuseppe
    Davidson, Malcolm
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4069 - 4072
  • [24] VEGETATION EFFECTS ON L-BAND SOIL MOISTURE RETRIEVAL - LESSONS LEARNED FROM 5 YEARS OF ALOS PALSAR OBSERVATIONS
    Koyama, Christian N.
    Schneider, Karl
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 1231 - 1234
  • [25] MODELING L-BAND SYNTHETIC APERTURE RADAR OBSERVATIONS THROUGH DIELECTRIC CHANGES IN SOIL MOISTURE AND VEGETATION OVER SHRUBLANDS
    Kim, Seungbum
    Arii, Motofumi
    Jackson, Thomas J.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 247 - 249
  • [26] TIME SERIES INVESTIGATION OF SOIL MOISTURE ESTIMATION USING COMPACT POLARIMETRY AT L-BAND
    Ponnurangam, G. G.
    Jagdhuber, T.
    Hajnsek, I.
    Rao, Y. S.
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 1691 - 1694
  • [27] Soil Moisture Estimations Based on Airborne CAROLS L-Band Microwave Data
    Parde, Mickael
    Zribi, Mehrez
    Wigneron, Jean-Pierre
    Dechambre, Monique
    Fanise, Pascal
    Kerr, Yann
    Crapeau, Marc
    Saleh, Kauzar
    Calvet, Jean-Christophe
    Albergel, Clement
    Mialon, Arnaud
    Novello, Natalie
    REMOTE SENSING, 2011, 3 (12): : 2591 - 2604
  • [28] Adaptive weighted learning for vegetation contribution in soil moisture inversion using PolSAR data
    Yin, Qiang
    Li, Junlang
    Zhou, Yongsheng
    Xiang, Deliang
    Zhang, Fan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2022, 43 (09) : 3190 - 3215
  • [29] Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L-Band InSAR and P-Band PolSAR
    Chen, Richard H.
    Michaelides, Roger J.
    Zhao, Yuhuan
    Huang, Lingcao
    Wig, Elizabeth
    Sullivan, Taylor D.
    Parsekian, Andrew D.
    Zebker, Howard A.
    Moghaddam, Mahta
    Schaefer, Kevin M.
    EARTH AND SPACE SCIENCE, 2023, 10 (01)
  • [30] Estimating vegetation optical depth using L-band passive microwave airborne data in HiWATER
    Wang, Qi
    Chai, Linna
    LAND SURFACE REMOTE SENSING II, 2014, 9260