Environmental quality assessment by multiple biogeochemical indicators of an intertidal flat under anthropogenic influence from the southwest of Buenos Aires (Argentina)

2021 ◽  
Vol 80 (7) ◽  
Author(s):  
Natalia S. Buzzi ◽  
Eleonora M. Fernández ◽  
Melisa D. Fernández Severini ◽  
Daniela M. Truchet ◽  
Azul S. Gilabert ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Buenos Aires ◽  
Intertidal Flat ◽  
Anthropogenic Influence ◽  
Environmental Quality Assessment ◽  
Biogeochemical Indicators

scholarly journals Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques

2011 ◽  
Vol 38 (6) ◽  
pp. 6805-6813 ◽  
Author(s):  
Jorge Garcia-Gutierrez ◽  
Luis Gonçalves-Seco ◽  
Jose C. Riquelme-Santos
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Environmental Quality Assessment

scholarly journals URBAN ENVIRONMENTAL QUALITY ASSESSMENT BY SHAPE AND SPECTRAL INDICES OF MULBERRY LEAVES

2019 ◽  
Vol 7 (3) ◽  
pp. 184-205
Author(s):  
Snejana Dineva ◽  
Zlatin Zlatev
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Principal Components ◽  
Latent Variables ◽  
Support Vector ◽  
Mulberry Leaves ◽  
Environmental Quality Assessment ◽  
Mulberry Leaf ◽  
Vector Machines ◽  
Potential Use

In this paper, an analysis of the potential use of the surface and geometric characteristics of mulberry leaves as parameters for environmental quality assessment is made. Methods have been used to reduce the amount of data of latent variables, linear and kernel variants of principal components. It has been found that a kernel variant of the principal components, combined with nonlinear separating functions of discriminant analysis and a method of support vector machines, are an appropriate methods for distinguishing the degree of air pollution from the mulberry leaf data. The results obtained could be used as preliminary baseline data for future evaluations and studies related to remote monitoring of urban air quality.

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