scholarly journals Estimating Chlorophyll-A Concentration using Remote Sensing Techniques

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Şeyma Merve Kaymaz
Keyword(s):  
Remote Sensing ◽  
Chlorophyll A ◽  
Chlorophyll A Concentration ◽  
Remote Sensing Techniques

scholarly journals Retrieval and Evaluation of Chlorophyll-a Concentration in Reservoirs with Main Water Supply Function in Beijing, China, Based on Landsat Satellite Images

2021 ◽  
Vol 18 (9) ◽  
pp. 4419
Author(s):  
Yuequn Lai ◽  
Jing Zhang ◽  
Yongyu Song ◽  
Zhaoning Gong
Keyword(s):  
Remote Sensing ◽  
Water Supply ◽  
Chlorophyll A ◽  
Phosphorus Concentration ◽  
Landsat 8 ◽  
Supply Function ◽  
Estimation Model ◽  
Nitrogen And Phosphorus ◽  
Chlorophyll A Concentration ◽  
Guanting Reservoir

Remote sensing retrieval is an important technology for studying water eutrophication. In this study, Guanting Reservoir with the main water supply function of Beijing was selected as the research object. Based on the measured data in 2016, 2017, and 2019, and Landsat-8 remote sensing images, the concentration and distribution of chlorophyll-a in the Guanting Reservoir were inversed. We analyzed the changes in chlorophyll-a concentration of the reservoir in Beijing and the reasons and effects. Although the concentration of chlorophyll-a in the Guanting Reservoir decreased gradually, it may still increase. The amount and stability of water storage, chlorophyll-a concentration of the supply water, and nitrogen and phosphorus concentration change are important factors affecting the chlorophyll-a concentration of the reservoir. We also found a strong correlation between the pixel values of adjacent reservoirs in the same image, so the chlorophyll-a estimation model can be applied to each other.

Comparison of summer chlorophyll a concentration in the South China Sea and the Arabian Sea using remote sensing data

2017 ◽  
Vol 36 (11) ◽  
pp. 61-67
Author(s):  
Jinglong Yao ◽  
Lei Yang ◽  
Yeqiang Shu ◽  
Lili Zeng ◽  
Rui Shi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Arabian Sea ◽  
Remote Sensing Data ◽  
The South China Sea ◽  
Chlorophyll A Concentration ◽  
Sensing Data ◽  
China Sea

scholarly journals Remote sensing estimation of aquatic chlorophyll-a concentration based on Hyperion data in Lake Taihu

2006 ◽  
Vol 18 (4) ◽  
pp. 327-336 ◽  
Author(s):  
WEN Jianguang ◽  
◽  
XIAO Qing ◽  
YANG Yipeng ◽  
LIU Qinhuo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Chlorophyll A ◽  
Lake Taihu ◽  
Chlorophyll A Concentration ◽  
Hyperion Data

A basis for mapping the erodibility of tidal flats by optical remote sensing

1998 ◽  
Vol 49 (8) ◽  
pp. 867 ◽  
Author(s):  
J. H. M. Hakvoort ◽  
M. Heineke ◽  
K. Heymann ◽  
H. Kühl ◽  
R. Riethmüller ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Shear Stress ◽  
Chlorophyll A ◽  
Fine Particles ◽  
Tidal Flats ◽  
Benthic Diatom ◽  
Reflectance Spectra ◽  
Sediment Type ◽  
Optical Remote Sensing ◽  
Chlorophyll A Concentration

A means of monitoring surface sediment stability of tidal flats with optical remote sensing has been developed. Erosion shear stress and corresponding bio-geo-chemical parameters of tidal flats were measured over five years in the Sylt/Rømø Bight, Germany. Ground-based optical reflectance spectra were measured during one year. A significant dependence of erosion shear stress on the benthic diatom chlorophyll a concentration in the uppermost 1-mm layer was found for muddy areas but decreased with decreasing proportion of fine particles (< 63 µm). With a low phytobenthic coverage there was a weak dependence of erosion shear stress on the proportion of fine particles. There were two main classes of the reflectance spectra: containing information on sediment type i.e. proportion of fine particles, and containing information on benthic diatoms and other phytobenthic species. There was a significant correlation between the reflectance spectra and proportion of fine particles and also between reflectance spectra and benthic diatom chlorophyll α concentration. Hence, the erodibility of tidal flats can be mapped by optical remote sensing when benthic chlorophyll a concentration and proportion of fine particles are used for estimation of the erosion shear stress.

Sign in / Sign up

Export Citation Format

Share Document