PRELIMINARY MODEL FOR WIND ESTIMATION FROM COSMO/SKYMED X BAND SAR DATA

被引:7
|
作者
Nirchio, F. [1 ]
Venafra, S. [2 ]
机构
[1] Agenzia Spaziale Italiana, I-75100 Matera, Italy
[2] Politecn Bari, I-70100 Bari, Italy
关键词
X-Band; SAR; wind; COSMO/SkyMed;
D O I
10.1109/IGARSS.2010.5650437
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In the paper we present a preliminary model for wind estimation from SAR data in X band. The data set we have used is composed of more than 300 Cosmo/SkyMed SAR images and the wind data obtained from the SeaWinds instrument on QuikSCAT. We have derived 18 parameters to express sigma(o) as function of wind intensity, direction and Radar look angle. The preliminary validation results are encouraging although our data set needs to be extended in order to increase those conditions poorly represented.
引用
收藏
页码:3462 / 3465
页数:4
相关论文
共 50 条
  • [1] ON THE AZIMUTH CUT-OFF WIND SPEED ESTIMATION FOR X-BAND COSMO-SKYMED SAR DATA
    Montuori, A.
    Migliaccio, M.
    Nunziata, F.
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2817 - 2820
  • [2] X-BAND TERRASAR-X AND COSMO-SKYMED SAR DATA FOR BARE SOIL PARAMETERS ESTIMATION
    Gorrab, Azza
    Zribi, Mehrez
    Baghdadi, Nicolas
    Mougenot, Bernard
    Chabaane, Zohra Lili
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
  • [3] Sea Surface Wind Estimation Using COSMO-SkyMed SAR Imagery
    Nunziata, Ferdinando
    Migliaccio, Maurizio
    Buono, Andrea
    Ferrentino, Emanuele
    Alparone, Matteo
    Zecchetto, Stefano
    Zanchetta, Andrea
    Portabella, Marcos
    Grieco, Giuseppe
    [J]. 2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA), 2022, : 378 - 382
  • [4] A Multipolarization Analysis of Coastline Extraction Using X-Band COSMO-SkyMed SAR Data
    Buono, Andrea
    Nunziata, Ferdinando
    Mascolo, Lucio
    Migliaccio, Maurizio
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (07) : 2811 - 2820
  • [5] Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection
    Capodici, Fulvio
    D'Urso, Guido
    Maltese, Antonino
    [J]. REMOTE SENSING, 2013, 5 (03) : 1389 - 1404
  • [6] Monitoring of Oil Spill Trajectories With COSMO-SkyMed X-Band SAR Images and Model Simulation
    Cheng, Yongcun
    Liu, Bingqing
    Li, Xiaofeng
    Nunziata, Ferdinando
    Xu, Qing
    Ding, Xianwen
    Migliaccio, Maurizio
    Pichel, William G.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (07) : 2895 - 2901
  • [7] Potential of X-Band TerraSAR-X and COSMO-SkyMed SAR Data for the Assessment of Physical Soil Parameters
    Gorrab, Azza
    Zribi, Mehrez
    Baghdadi, Nicolas
    Mougenot, Bernard
    Chabaane, Zohra Lili
    [J]. REMOTE SENSING, 2015, 7 (01) : 747 - 766
  • [8] The BISSAT mission: a bistatic SAR operating in formation with COSMO/SkyMed x-band radar
    D'Errico, M
    Moccia, A
    [J]. 2002 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-7, 2002, : 809 - 818
  • [9] COSMO-SkyMed X-band SAR Imagery for Snowpack Characterization in Mountain Areas
    Santi, E.
    Paloscia, S.
    Pettinato, S.
    Callegari, M.
    Pasolli, L.
    Notarnicola, C.
    [J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII, 2012, 8536
  • [10] Persistent point scatterer statistical analysis for X-band SAR data: the Cosmo-SkyMed case study
    Guccione, P.
    Zonno, M.
    Mascolo, L.
    D'Introno, S.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (01) : 127 - 148