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
来源
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
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.
    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
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
  • [3] XMOD2-An improved geophysical model function to retrieve sea surface wind fields from Cosmo-SkyMed X-band data
    Nirchio, Francesco
    Venafra, Sara
    EUROPEAN JOURNAL OF REMOTE SENSING, 2013, 46 : 583 - 595
  • [4] 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
    REMOTE SENSING, 2015, 7 (01) : 747 - 766
  • [5] 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
    2022 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA), 2022, : 378 - 382
  • [6] The Intercomparison of X-Band SAR Images from COSMO-SkyMed and TerraSAR-X Satellites: Case Studies
    Pettinato, Simone
    Santi, Emanuele
    Paloscia, Simonetta
    Pampaloni, Paolo
    Fontanelli, Giacomo
    REMOTE SENSING, 2013, 5 (06) : 2928 - 2942
  • [7] Using COSMO/SkyMed X-band and ENVISAT C-band SAR interferometry for landslides analysis
    Bovenga, F.
    Wasowski, J.
    Nitti, D. O.
    Nutricato, R.
    Chiaradia, M. T.
    REMOTE SENSING OF ENVIRONMENT, 2012, 119 : 272 - 285
  • [8] COSMO-SkyMed X-band SAR Imagery for Snowpack Characterization in Mountain Areas
    Santi, E.
    Paloscia, S.
    Pettinato, S.
    Callegari, M.
    Pasolli, L.
    Notarnicola, C.
    SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII, 2012, 8536
  • [9] WIND FIELDS FROM COSMO-SKYMED AND RADARSAT-2 SAR IN COASTAL AREAS
    Zecchetto, S.
    De Biasio, F.
    della Valle, A.
    Cucco, A.
    Quattrocchi, G.
    Cadau, E.
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1535 - 1538
  • [10] Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection
    Capodici, Fulvio
    D'Urso, Guido
    Maltese, Antonino
    REMOTE SENSING, 2013, 5 (03) : 1389 - 1404