Method for sea water absorption spectra estimation on the basis of shipboard passive remote sensing data and pure sea water properties

被引:4
|
作者
Rostovtseva V.V. [1 ]
机构
[1] Shirshov Institute of Oceanology, Nakhimovskii pr. 36, Moscow
关键词
dissolved organic matter; main seawater admixture concentrations; phytoplankton; river mouth area of the Black Sea; sea water absorption and scattering; spectra of the seawater surface radiance coefficient; suspended matter; yellow substance;
D O I
10.1134/S102485601602010X
中图分类号
学科分类号
摘要
An original method for calibration of spectra of the seawater surface radiance coefficient measured from onboard a moving ship with a three-channel optical spectrophotometer is proposed. The method is based on some characteristics of pure sea water absorption. Using this method, the sea water absorption spectra can be retrieved. Results of processing measurements in the Russian coastal area of the Black Sea near river mouths are given. The efficiency of the calibration method for radiance spectra measurements under variable clouds and wind is shown. The concentrations of the main natural seawater admixtures have been estimated from the absorption spectra retrieved, and the estimates have been compared with contact measurements in water samples. It is shown that the method developed for sea water analysis, which includes remote shipboard measurements of the seawater brightness coefficient, calibration of the spectra, seawater absorption spectra retrieval, and estimation of the main seawater admixture concentrations, can be used for the study of shelf and inland seawater areas because it does not imply any correlation between phytoplankton, dissolved organic matter (yellow substance), and suspended matter concentrations. © 2016, Pleiades Publishing, Ltd.
引用
收藏
页码:162 / 170
页数:8
相关论文
共 50 条
  • [31] Remote sensing and machine learning method to support sea surface pCO2 estimation in the Yellow Sea
    Li, Wei
    Liu, Chunli
    Zhai, Weidong
    Liu, Huizeng
    Ma, Wenjuan
    FRONTIERS IN MARINE SCIENCE, 2023, 10
  • [32] REMOTE-SENSING OF SEA-WATER TURBIDITY WITH AN AIRBORNE LASER SYSTEM
    PHILLIPS, DM
    ABBOT, RH
    PENNY, MF
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 1984, 17 (08) : 1749 - 1758
  • [33] REMOTE SENSING ANALYSIS OF COLD WATER TEMPORAL AND SPATIAL VARIABILITY IN THE EAST SEA
    Yoon, Suk
    Yang, Hyun
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2020, 28 (06): : 640 - 647
  • [34] Estimation of snow water equivalent from passive microwave remote sensing data (SSM/I) in Tibetan Plateau
    Che, T
    Li, X
    Armstrong, RL
    MICROWAVE REMOTE SENSING OF THE ATMOSPHERE AND ENVIRONMENT III, 2003, 4894 : 405 - 412
  • [35] A METHOD FOR ESTIMATION OF TOTAL SOLUBLE COBALT IN SEA-WATER
    KRISHNAM.TM
    SASTRY, VN
    SARMA, TP
    CURRENT SCIENCE, 1968, 37 (23): : 660 - &
  • [36] Effect of sea water on water absorption and flexural properties of wood-polypropylene composites
    Najafi, Saeed Kazemi
    Kordkheili, Hamed Younesi
    EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS, 2011, 69 (04) : 553 - 556
  • [37] A physical algorithm to measure sea ice concentration from passive microwave remote sensing data
    Tikhonov, V. V.
    Repina, I. A.
    Raev, M. D.
    Sharkov, E. A.
    Ivanov, V. V.
    Boyarskii, D. A.
    Alexeeva, T. A.
    Komarova, N. Yu
    ADVANCES IN SPACE RESEARCH, 2015, 56 (08) : 1578 - 1589
  • [38] New method of sea-water natural admixtures concentrations determination by remote sensing without atmospheric correction
    Pelevin, VN
    Rostovtseva, AV
    FIFTH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS, 1998, 3583 : 555 - 559
  • [39] A Review of Ocean/Sea Subsurface Water Temperature Studies from Remote Sensing and Non-Remote Sensing Methods
    Akbari, Elahe
    Alavipanah, Seyed Kazem
    Jeihouni, Mehrdad
    Hajeb, Mohammad
    Haase, Dagmar
    Alavipanah, Sadroddin
    WATER, 2017, 9 (12)
  • [40] THE PROPAGATION OF A GAUSSIAN PULSE IN SEA-WATER AND ITS APPLICATION TO REMOTE-SENSING
    KING, RWP
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1993, 31 (03): : 595 - 605