Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 2, pp. 218-226

Reconstruction of surface wave kinematic characteristics and bathymetry from Geoton-L1 multichannel optical images from Resurs-P satellite

M.V. Yurovskaya 1, 2 , V.N. Kudryavtsev 2, 1 , S.V. Stanichny 1 
1 Marine Hydrophysical Institute RAS, Sevastopol, Russia
2 Russian State Hydrometeorological University, St. Petersburg, Russia
Accepted: 12.02.2019
DOI: 10.21046/2070-7401-2019-16-2-218-226
An approach to estimate the sea surface current and sea depth from a pair of optical satellite images of the sea surface obtained with a time delay comparable to the period of the observed waves, is considered. The method is based on analyzing the phase shift spectrum of the waves and estimating the Doppler shift in the dispersion relation. The method is applied to satellite multichannel optical images from Resurs-P (No. 1), where the time shift is provided by the bias in sensor view direction. Due to the lack of data on the exact time and/or view geometry, the algorithm is proposed for estimating the time lag from surface waves displacement. The algorithm is based on the assumption of current absence and implementation of the linear dispersion relation. The obtained value of the time lag was used to estimate bathymetry in the region of the Kerch Strait from the wave dispersion relation. As shown, for the reliable current velocity reconstruction, more accurate information about the time shift and sub-pixel inter-channel geolocation is needed. The possibility of estimating the speed and direction of objects on the sea surface (ships, breaking waves) from maximum of correlation function is demonstrated. The development of the proposed approach and the improvement of Geoton-L1 geolocation algorithms could serve to create a new tool for estimating the current velocity from space.
Keywords: satellite optical images, sequent images, Geoton-L1, Resurs-P, wave dispersion relation, currents, bathymetry, wave breaking
Full text

References:

  1. Chapron B., Collard F., Ardhuin F., Direct measurements of ocean surface velocity from space: Interpretation and validation, J. Geophysical Research, 2005, Vol. 110, C07008, DOI: 10.1029/2004JC002809.
  2. Dugan J. P., Piotrowski C. C., Williams J. Z., Water depth and surface current retrievals from airborne optical measurements of surface gravity wave dispersion, J. Research, 2001, Vol. 106(C8), pp. 16903–16915, DOI: 10.1029/2000JC000369.
  3. Emery W. J., Thomas A. C., Collins M. J., Crawford W. R., Mackas D. L., An objective method for computing advective surface velocities from sequential infrared satellite images, J. Geophysical Research: Oceans, 1986, Vol. 91, pp. 12865–12878.
  4. Goldstein R. M., Zebker H. A., Interferometric radar measurement of ocean surface current, Nature, 1987, Vol. 328, pp. 707–709.
  5. Kelly K. A., An inverse model for near-surface velocity from infrared images, J. Physical Oceanography, 1989, Vol. 19, pp. 1845–1864.
  6. Kubryakov A., Plotnikov E., Stanichny S., Reconstructing Large- and Mesoscale Dynamics in the Black Sea Region from Satellite Imagery and Altimetry Data ― A Comparison of Two Methods, Remote Sensing, 2018, Vol. 10, No. 239, DOI 10.3390/rs10020239.
  7. Kudryavtsev V., Yurovskaya M., Chapron B., Collard F., Donlon C. (2017a), Sun glitter imagery of ocean surface waves: Part 1. Directional spectrum retrieval and validation, J. Geophysical Research: Oceans, 2017, Vol. 122, No. 2, pp. 1369–1383, DOI: 10.1002/2016JC012425.
  8. Kudryavtsev V., Yurovskaya M., Chapron B., Collard F., Donlon C. (2017b), Sun glitter imagery of surface waves. Part 2: Waves transformation on ocean currents, J. Geophysical Research: Oceans, 2017, Vol. 122, No. 2, pp. 1384–1399, DOI: 10.1002/2016JC012426.
  9. Leckler F., Ardhuin F., Peureux C., Benetazzo A., Bergamasco F., Dulov V., Analysis and Interpretation of Frequency-Wavenumber Spectra of Young Wind Waves., J. Physical Oceanography, 2015, Vol. 45, No. 10, pp. 2484–2496, DOI 10.1175/JPO-D-14-0237.1.
  10. Lee P. H. Y., Barter J. D., Beach K. L., Hindman C. L., Lake B. M., Rungaldier H., Shelton J. C., Williams A. B., Yee R., Yuen H. C., X band microwave backscattering from ocean waves., J. Geophysical Research, 1995, Vol. 100, pp. 2591–2611.
  11. Plant W. J., A model for microwave Doppler sea return at high incidence angles: Bragg scattering from bound, tilted waves, J. Geophysical Research, 1997, Vol. 102, pp. 21131–21146.
  12. Young I. R., Rosenthal W., Ziemer F., A three‐dimensional analysis of marine radar images for the determination of ocean wave directionality and surface currents, J. Geophysical Research, 1985, Vol. 90(C1), pp. 1049–1059, DOI: 10.1029/JC090iC01p01049.
  13. Yurovskaya M., Kudryavtsev V., Chapron B., Rascle N., Collard F., Wave Spectrum and Surface Current Retrieval from Airborne and Satellite Sunglitter Imagery, Proc. IGARSS’2018, Valencia, 2018, pp. 3192–3195, DOI. 10.1109/IGARSS.2018.8518459.