Characterization of ocean and coastal features using EOS-04 and application in deciphering its spatio-temporal dynamics

被引:0
作者
Ramakrishnan, Ratheesh [1 ]
Bhowmick, Suchandra Aich [1 ]
Kumar, S. V. V. Arun [1 ]
Mandal, Anup Kumar [1 ]
Seemanth, M. [1 ]
Chaudhary, Aditya [1 ]
机构
[1] Indian Space Res Org, Space Applicat Ctr, Earth & Planetary Sci & Applicat Area, Ahmadabad 380015, India
来源
CURRENT SCIENCE | 2024年 / 126卷 / 09期
关键词
Coastal bathymetry; EOS-04; internal solitary waves; oil spill; Ocean wave spectra; OIL-SPILL DETECTION; ARABIAN SEA; SAR IMAGES; MODEL; WAVES; CLASSIFICATION;
D O I
10.18520/cs/v126/i9/1126-1133
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Here we discuss various coastal and ocean science applications of the Earth Observation Satellite-04 (EOS04) mission by the Indian Space Research Organisation. Automated oil spill detection using EOS-04, Medium Resolution ScanSAR data is carried out that involves segmenting of dark regions and classification of oil spills from look-alike s using a rank based algorithm. Lagrangian forecasting model is then used to predict the oil spill track. Genetic algorithm is employed to convert backscatter from EOS-04 into Significant Wave Height and wave spectra. The wavelength and propagation direction of ocean internal solitary waves are estimated using EOS-04 data. High resolution data in Fine Resolution Stripmap mode is used to estimate coastal bathymetry based on wave shoaling effect. The unique ability of EOS-04, with a range of spatial resolutions and various modes of operation form an essential ocean observation dataset that enables the scientific community to improve the understanding of complex coastal ocean processes.
引用
收藏
页码:1126 / 1133
页数:8
相关论文
共 29 条
  • [1] THEORY OF RADAR IMAGING OF INTERNAL WAVES
    ALPERS, W
    [J]. NATURE, 1985, 314 (6008) : 245 - 247
  • [2] Oil spill detection by imaging radars: Challenges and pitfalls
    Alpers, Werner
    Holt, Benjamin
    Zeng, Kan
    [J]. REMOTE SENSING OF ENVIRONMENT, 2017, 201 : 133 - 147
  • [3] DARWIN: An evolutionary program for nonlinear modeling of chaotic time series
    Alvarez, A
    Orfila, A
    Tintore, J
    [J]. COMPUTER PHYSICS COMMUNICATIONS, 2001, 136 (03) : 334 - 349
  • [4] Sensitivity Study of a Coastal Wave Model for Prediction of Ocean Waves over Indian Ocean Region
    Bhowmick, Suchandra A.
    Kumar, Raj
    Chaudhuri, Sutapa
    Sarkar, Abhijit
    [J]. MARINE GEODESY, 2011, 34 (02) : 167 - 180
  • [5] Impact of Assimilating SARAL/AltiKa SWH in SWAN Model During Indian Ocean Tropical Cyclone Phailin
    Bhowmick, Suchandra Aich
    Basu, Sujit
    Sharma, Rashmi
    Kumar, Raj
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (03): : 1812 - 1817
  • [6] Bradley Derek, 2007, Journal of Graphics Tools, V12, P13
  • [7] Underwater bottom topography in coastal areas from TerraSAR-X data
    Brusch, Stephan
    Held, Philipp
    Lehner, Susanne
    Rosenthal, Wolfgang
    Pleskachevsky, Andrey
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (16) : 4527 - 4543
  • [8] The assimilation of ERS-2 significant wave height data in the Australian region
    Greenslade, DJM
    [J]. JOURNAL OF MARINE SYSTEMS, 2001, 28 (1-2) : 141 - 160
  • [9] Jackson C.R., 2004, CONTRACT, V14, P0176
  • [10] Jackson CR, 2013, OCEANOGRAPHY, V26, P68