Monthly variability of chlorophyll and associated physical parameters in the southwest Bay of Bengal water using remote sensing data

被引:0
|
作者
Sarangi, R. K. [1 ]
Nayak, Shailesh [2 ]
Panigraphy, R. C. [3 ]
机构
[1] ISRO, Ctr Space Applicat, Remote Sensing Applicat Area, Marine & Earth Sci Grp, Ahmadabad 380015, Gujarat, India
[2] INCOIS, Hyderabad 500055, Andhra Pradesh, India
[3] Berhampur Univ, Dept Marine Sci, Berhampur 760007, Orissa, India
来源
INDIAN JOURNAL OF MARINE SCIENCES | 2008年 / 37卷 / 03期
关键词
IRS-P4; OCM; chlorophyll; physical parameters; SST; wind speed/vector; Bay of Bengal; remote sensing;
D O I
暂无
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
In the present paper, we have carried out analysis of surface chlorophyll-a concentration in the seas around India obtained using the Indian Remote Sensing satellite IRS-P4 Ocean Colour Monitor (OCM) data. The focus was given to southwest Bay of Bengal where such studies are scanty. The study portraits the chlorophyll-a pattern during July 1999-June 2000. The monthly sea surface temperature (SST) trend and wind patterns using NOAA-NCEP and Quickscat Scatterometer data, respectively, were studied, to elucidate their impact on chlorophyll distribution. This helped to decipher how the reversing monsoon wind induces algal blooming in the surface waters of the study area. Several features like eddies, algal blooms and coastal plumes were observed. Highest mean chlorophyll was observed in January (northeast monsoon) and lowest in May (summer inter monsoon). Adjacent Arabian Sea water found predominantly productive than the Bay of Bengal water. Higher wind speed around 10 m/s in southwest and northeast monsoon shows about two fold increase in chlorophyll concentration to 1.0-2.0 mg/m(3) and the SST has shown gradient and decrease of about 1-2 degrees C in the BoB and off southern India, respectively.
引用
收藏
页码:256 / 266
页数:11
相关论文
共 50 条
  • [31] Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content
    Clevers, Jan G. P. W.
    Kooistra, Lammert
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (02) : 574 - 583
  • [32] Monitoring of Water Bodies using Remote Sensing Data
    Chermoshentsev, A. Yu.
    25TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2019, 11208
  • [33] Coastal Water Classification Using Remote Sensing Data
    Lounis, Bahia
    Belhadj-Aissa, Aichouche
    2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2017, : 1455 - 1460
  • [34] Remote sensing of atmospheric water vapor in the region of Southwest China using GPS
    Bi, YM
    Mao, JT
    Wang, MH
    Li, CC
    OPTICAL TECHNOLOGIES FOR ATMOSPHERIC, OCEAN, AND ENVIRONMENTAL STUDIES, PTS 1 AND 2, 2005, 5832 : 551 - 562
  • [35] Shallow water wave spectral characteristics in southwest Bay of Bengal using measurements from a moored buoy
    Janakiram Reddy
    Latha Ganesan
    Balamurugan Ramasubbu
    Venkatesan Ramasamy
    Arabian Journal of Geosciences, 2023, 16 (6)
  • [36] Remote sensing of water cloud parameters using neural networks
    Cerdena, Abidan
    Gonzalez, Albano
    Perez, Juan C.
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2007, 24 (01) : 52 - 63
  • [37] Remote sensing of water cloud parameters using neural networks
    Cerdeña, Abidán
    González, Albano
    Pérez, Juan C.
    Journal of Atmospheric and Oceanic Technology, 2007, 24 (01): : 52 - 63
  • [38] A remote sensing approach to ascertain spatial and temporal variations of seawater quality parameters in the coastal area of Bay of Bengal, Bangladesh
    Ashikur, M. R.
    Rupom, R. S.
    Sazzad, M. H.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 23
  • [39] Retrieval of cloud geometrical parameters using remote sensing data
    Kuji, M
    Nakjima, T
    OPTICAL REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS II, 2001, 4150 : 225 - 234
  • [40] Understanding the Spatial Variability of Chlorophyll a and Total Suspended Matter Distribution Along the Southwest Bay of Bengal Using In-Situ and OCM-2 & MODIS-Aqua Measurements
    Poornima, D.
    Shanthi, R.
    Raja, S.
    Sethubathi, G. Vijayabaskara
    Thangaradjou, T.
    Balasubramanian, T.
    Babu, K. N.
    Shukla, A. K.
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2013, 41 (03) : 651 - 662