A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques

被引:681
作者
Gholizadeh, Mohammad Haji [1 ]
Melesse, Assefa M. [2 ]
Reddi, Lakshmi [1 ]
机构
[1] Florida Int Univ, Dept Civil Engn, Miami, FL 33174 USA
[2] Florida Int Univ, Dept Earth & Environm, Miami, FL 33199 USA
关键词
remote sensing; spaceborne sensors; airborne sensors; water quality indicators; DISSOLVED ORGANIC-MATTER; SEA-SURFACE TEMPERATURE; CHLOROPHYLL-A CONCENTRATION; INHERENT OPTICAL-PROPERTIES; SIMULTANEOUS LANDSAT-5 TM; GREAT-BARRIER-REEF; THEMATIC MAPPER; SUSPENDED SEDIMENTS; COASTAL WATERS; ABSORPTION-COEFFICIENT;
D O I
10.3390/s16081298
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Remotely sensed data can reinforce the abilities of water resources researchers and decision makers to monitor waterbodies more effectively. Remote sensing techniques have been widely used to measure the qualitative parameters of waterbodies (i.e., suspended sediments, colored dissolved organic matter (CDOM), chlorophyll-a, and pollutants). A large number of different sensors on board various satellites and other platforms, such as airplanes, are currently used to measure the amount of radiation at different wavelengths reflected from the water's surface. In this review paper, various properties (spectral, spatial and temporal, etc.) of the more commonly employed spaceborne and airborne sensors are tabulated to be used as a sensor selection guide. Furthermore, this paper investigates the commonly used approaches and sensors employed in evaluating and quantifying the eleven water quality parameters. The parameters include: chlorophyll-a (chl-a), colored dissolved organic matters (CDOM), Secchi disk depth (SDD), turbidity, total suspended sediments (TSS), water temperature (WT), total phosphorus (TP), sea surface salinity (SSS), dissolved oxygen (DO), biochemical oxygen demand (BOD) and chemical oxygen demand (COD).
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页数:43
相关论文
共 342 条
[1]   Satellite remote sensing of a low-salinity water plume in the East China Sea [J].
Ahn, Y. H. ;
Shanmugam, P. ;
Moon, J. E. ;
Ryu, J. H. .
ANNALES GEOPHYSICAE, 2008, 26 (07) :2019-2035
[2]   Application of satellite infrared data for mapping of thermal plume contamination in coastal ecosystem of Korea [J].
Ahn, YH ;
Shanmugam, P ;
Lee, JH ;
Kang, YQ .
MARINE ENVIRONMENTAL RESEARCH, 2006, 61 (02) :186-201
[3]  
Aiken G.R., 1985, HUMIC SUBSTANCES SOI
[4]  
Akbar TA, 2010, INT ARCH PHOTOGRAMM, V38
[5]  
ALBERTS J.J., 1994, Trends in Chem. Geol, V1, P143
[6]   Landsat remote sensing of chlorophyll a concentrations in central North Island lakes of New Zealand [J].
Allan, M. G. ;
Hamilton, D. P. ;
Hicks, B. J. ;
Brabyn, L. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (07) :2037-2055
[7]  
Allan M.G., 2007, Remote sensing of water quality in the rotorua lakes
[8]   Use of satellite imagery to estimate surface chlorophyll a and Secchi disc depth of Bull Shoals Reservoir, Arkansas, USA [J].
Allee, RJ ;
Johnson, JE .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1999, 20 (06) :1057-1072
[9]   Water quality assessment at Omerli Dam using remote sensing techniques [J].
Alparslan, Erhan ;
Aydoener, Cihangir ;
Tufekci, Vildan ;
Tuefekci, Hueseyin .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2007, 135 (1-3) :391-398
[10]   Water Quality Determination of Kucukcekmece Lake, Turkey by Using Multispectral Satellite Data [J].
Alparslan, Erhan ;
Coskun, H. Gonca ;
Alganci, Ugur .
THESCIENTIFICWORLDJOURNAL, 2009, 9 :1215-1229