Review of the Forel-Ule Index based on in situ and remote sensing methods and application in water quality assessment

被引:22
作者
Ye, Miao [1 ,2 ,3 ]
Sun, Yonghua [1 ,2 ,3 ]
机构
[1] Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100048, Peoples R China
[2] Capital Normal Univ, Lab Cultivat Base Environm Proc & Digital Simulat, Beijing 100048, Peoples R China
[3] Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China
基金
国家重点研发计划;
关键词
Water colour; Forel-Ule Index; Remote sensing; Water quality; Forel-Ule scale; Hue angle; DISSOLVED ORGANIC-MATTER; OCEAN COLOR; SECCHI DISK; NATURAL-WATERS; TROPHIC STATE; PHYTOPLANKTON PIGMENTS; CITIZEN SCIENCE; INLAND WATER; BALTIC SEA; MODIS;
D O I
10.1007/s11356-021-18083-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water pollution is considered an acute worldwide environmental issue. At present, the commonly adopted method of water quality characterisation involves the retrieval of optically active water quality parameters based on remote sensing reflectance (R-rs), but this method is subject to the limitation that understanding local scatter and absorption characteristics of light is essential to precisely derive these parameters. Water colour primarily depends on water constituents and is traditionally gauged with the Forel-Ule (FU) scale. In recent years, R-rs within the visible region has been considered to determine the Forel-Ule Index (FUI) for water colour measurement. The FUI exhibits the advantages of remote sensing and does not rely on local retrieval algorithms. Therefore, this index can characterise natural waters in a simple and globally effective manner. As there exists a lack of review articles on the FUI, we present a comprehensive review of this index that may help researchers progress. First, we introduce the most recent techniques for FUI measurement, especially remote sensing-deriving methods. Then, we summarise FUI applications in water quality assessment of oceans and inland waters. Finally, FUI development trends, challenges and application perspectives are examined.
引用
收藏
页码:13024 / 13041
页数:18
相关论文
共 102 条
  • [1] Alfoldi T. T., 1978, Canadian Journal of Remote Sensing, V4, P108
  • [2] Estimating the Underwater Diffuse Attenuation Coefficient with a Low-Cost Instrument: The KdUINO DIY Buoy
    Bardaji, Raul
    Sanchez, Albert-Miquel
    Simon, Carine
    Wernand, Marcel R.
    Piera, Jaume
    [J]. SENSORS, 2016, 16 (03):
  • [3] Barysheva L., 1987, REMOTE MONIT LARGE L, P60
  • [4] Statistical solutions for error and bias in global citizen science datasets
    Bird, Tomas J.
    Bates, Amanda E.
    Lefcheck, Jonathan S.
    Hill, Nicole A.
    Thomson, Russell J.
    Edgar, Graham J.
    Stuart-Smith, Rick D.
    Wotherspoon, Simon
    Krkosek, Martin
    Stuart-Smith, Jemina F.
    Pecl, Gretta T.
    Barrett, Neville
    Frusher, Stewart
    [J]. BIOLOGICAL CONSERVATION, 2014, 173 : 144 - 154
  • [5] Interpreting the colour of an estuary
    Bowers, DG
    Evans, D
    Thomas, DN
    Ellis, K
    Williams, PJL
    [J]. ESTUARINE COASTAL AND SHELF SCIENCE, 2004, 59 (01) : 13 - 20
  • [6] Integrating global chlorophyll data from 1890 to 2010
    Boyce, Daniel G.
    Lewis, Marlon
    Worm, Boris
    [J]. LIMNOLOGY AND OCEANOGRAPHY-METHODS, 2012, 10 : 840 - 852
  • [7] Global phytoplankton decline over the past century
    Boyce, Daniel G.
    Lewis, Marlon R.
    Worm, Boris
    [J]. NATURE, 2010, 466 (7306) : 591 - 596
  • [8] A Printable Device for Measuring Clarity and Colour in Lake and Nearshore Waters
    Brewin, Robert J. W.
    Brewin, Thomas G.
    Phillips, Joseph
    Rose, Sophie
    Abdulaziz, Anas
    Wimmer, Werenfrid
    Sathyendranath, Shubha
    Platt, Trevor
    [J]. SENSORS, 2019, 19 (04)
  • [9] Validation of a radiometric color model applicable to optically complex water bodies
    Bukata, RP
    Pozdnyakov, DV
    Jerome, JH
    Tanis, FJ
    [J]. REMOTE SENSING OF ENVIRONMENT, 2001, 77 (02) : 165 - 172
  • [10] USE OF CHROMATICITY IN REMOTE MEASUREMENTS OF WATER-QUALITY
    BUKATA, RP
    BRUTON, JE
    JEROME, JH
    [J]. REMOTE SENSING OF ENVIRONMENT, 1983, 13 (02) : 161 - 177