Water Chlorophyll Concentration Estimation Using Landsat TM Data with Empirical Algorithms in Chagan Lake, China

2006 ◽  
Author(s):  
D. Liu ◽  
K. Song ◽  
B. Zhang ◽  
Z. Wang ◽  
F. Li ◽  
...  
Keyword(s):  
Chlorophyll Concentration ◽  
Landsat Tm ◽  
Concentration Estimation ◽  
Chagan Lake ◽  
Empirical Algorithms

scholarly journals Distribution of chlorophyll concentration in Mikawa Bay and its prediction from Landsat TM data

1997 ◽  
Vol 13 ◽  
pp. 237-241
Author(s):  
Shin-ichi Aoki ◽  
Nobuyuki Azuma ◽  
Terumasa Obayashi ◽  
Toshiyuki Toda ◽  
Kazuyoshi Nakatsuka
Keyword(s):  
Chlorophyll Concentration ◽  
Landsat Tm

COMPARISON OF CHLOROPHYLL CONCENTRATION ESTIMATION USING TWO DIFFERENT ALGORITHMS AND THE EFFECT OF COLORED DISSOLVED ORGANIC MATTER

2010 ◽  
Vol 5 (1) ◽  
Author(s):  
Bisman Nababan
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Chlorophyll A ◽  
Mississippi River ◽  
Chlorophyll Concentration ◽  
Wide Field ◽  
Colored Dissolved Organic Matter ◽  
Mississippi River Plume ◽  
Concentration Estimation ◽  
Mission Specification

The effect of colored dissolved organic matter (CDOM) on the Sea-viewing Wide Field-of-view Sensor(Sea WiFS) OC4v4 and the MODIS algorithms used to estimate chlorophyll-a was studied using satellite and situ data collated during seasonal cruises in the Northeastern Gulf of Mexico between 1997 and 2000. For chlorophyll-a concentrations 50 mg m, OC4v4 generally overestimated chlorophyll-a concentration by up to 300 percent. The MODIS algorithm provided better estimates of high CDOM concentration, found typically nearshore in noterhn summer and spring. For oceanic waters where chlorophyll-a concentrations 1.0 mg m, both OC4v4 and MODIS algorithm had errors within the Sea WiFS mission specification (35 percent) during fall. The OC4v4 algorithm is more susceptible to artifacts due to CDOM absorption of light at 443 mm. Keywords: chlorophyll-a, Mississippi River Plume, Sea WiFS, upwelling, OC4v4.

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