Chlorophyll-a concentration measure in coastal waters using MERIS and MODIS data

被引:0
|
作者
Matarrese, R [1 ]
Chiaradia, MT [1 ]
De Pasquale, V [1 ]
Pasquariello, G [1 ]
机构
[1] Univ Bari, Phys Dept, Bari, Italy
关键词
chlorophyll; semianalytic model; MODIS; MERIS; coastal waters;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Understanding the temporal dynamic of the biophysical properties of the coastal/shallow waters is a challenging and important task. In the present work Chlorophyll-a concentration in coastal zone shallow waters is obtained by inversion of the MERIS and MODIS level 1 calibrated, geolocated reflectance data. For this purpose, we have used both sensors to retrieve the chlorophyll concentration, in a scheme of multisensor data assimilation. In fact, the new generation sensor MERIS, on ESA s ENVISAT, with its spatial resolution of 300 meters and 3 days revisitation time, offers a high number of narrow spectral bands in the visible and in the IR. At the same time, MODIS, on NASA s Terra and Aqua Satellites, has a lower space resolution but an higher number of bands in the IR portion of the electromagnetic spectrum and can improve our atmospheric correction algorithms. Due to the high variability of the aerosol (type and concentration) and the water type, an accurate atmospheric correction method based on the 6S radiative transfer code has been performed. The atmospheric data required as input to the 6S code have been retrieved from the MODIS data. The estimated chlorophyll-a concentration has been computed from MERIS and MODIS data using a semi-analytic model, based on the optical properties of water and its components To validate the inversion procedure, ground measurements have been collected monthly during the year 2003 and have been compared with the values derived from the inversion model.
引用
收藏
页码:3639 / 3641
页数:3
相关论文
共 50 条
  • [1] Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data-successes and challenges
    Moses, W. J.
    Gitelson, A. A.
    Berdnikov, S.
    Povazhnyy, V.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2009, 4 (04):
  • [2] MODIS satellite data for modeling chlorophyll-a concentrations in Malaysian coastal waters
    Marghany, Maged
    Hashim, Mazlan
    [J]. INTERNATIONAL JOURNAL OF THE PHYSICAL SCIENCES, 2010, 5 (10): : 1489 - 1495
  • [3] Modeling of Chlorophyll-a Concentration for the Coastal Waters of Hong Kong
    Nazeer, Majid
    Nichol, Janet E.
    [J]. 2015 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2015,
  • [4] A novel algorithm for ocean chlorophyll-a concentration using MODIS Aqua data
    Merder, Julian
    Zhao, Gang
    Pahlevan, Nima
    Rigby, Robert A.
    Stasinopoulos, Dimitrios M.
    Michalak, Anna M.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 210 : 198 - 211
  • [5] Simplifying Regional Tuning of MODIS Algorithms for Monitoring Chlorophyll-a in Coastal Waters
    Jiang, Weimin
    Knight, Benjamin R.
    Cornelisen, Chris
    Barter, Paul
    Kudela, Raphael
    [J]. FRONTIERS IN MARINE SCIENCE, 2017, 4
  • [6] Long-term variation of Chlorophyll-a concentration in Qingdao coastal area from MODIS data
    Zhou, Yan
    Gai, Yingying
    Liu, Xiaoyan
    [J]. 3RD INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING, 2020, 631
  • [7] Evaluation of MODIS-Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters
    Lacava, Teodosio
    Ciancia, Emanuele
    Di Polito, Carmine
    Madonia, Alice
    Pascucci, Simone
    Pergola, Nicola
    Piermattei, Viviana
    Satriano, Valeria
    Tramutoli, Valerio
    [J]. REMOTE SENSING, 2018, 10 (07)
  • [8] Studying Chlorophyll-a Concentration of Bosten Lake (Xinjiang, Northwest China) by MERIS data
    Liu, Ying
    Bao, Anming
    Chen, Xi
    [J]. ENVIRONMENTAL ENGINEERING, PTS 1-4, 2014, 864-867 : 2750 - 2755
  • [9] Statistical characteristics of chlorophyll-a concentration in Hong Kong's coastal waters
    CHEN Xiaoling
    2. National Laboratory for Information Engineering in Surveying
    [J]. Journal of Geographical Sciences, 2002, (03) : 83 - 94
  • [10] Neural network-based estimation of chlorophyll-a concentration in coastal waters
    Musavi, MT
    Miller, RL
    Ressom, H
    Natarajan, P
    [J]. OCEAN OPTICS: REMOTE SENSING AND UNDERWATER IMAGING, 2002, 4488 : 176 - 183