Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves
In this paper, an analysis of the possibility of passive determination of the degree of environmental pollution based on data from the leaf blade of mulberry is made. With existing solutions in this area, the mulberry has been found to be under-researched. A disadvantage of the available solutions i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Environments |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3298/8/9/87 |
| _version_ | 1797519370189012992 |
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| author | Snejana Dineva Petya Veleva-Doneva Zlatin Zlatev |
| author_facet | Snejana Dineva Petya Veleva-Doneva Zlatin Zlatev |
| author_sort | Snejana Dineva |
| collection | DOAJ |
| description | In this paper, an analysis of the possibility of passive determination of the degree of environmental pollution based on data from the leaf blade of mulberry is made. With existing solutions in this area, the mulberry has been found to be under-researched. A disadvantage of the available solutions is that spectral indices are used, which is not a sufficient criterion for passively determining the degree of air pollution based on the surface characteristics of the mulberry leaves. Methods have been used to reduce the amount of data by latent variables and principal components. It has been found that a kernel variant of the principal components, combined with linear discriminant analysis, is an appropriate method for distinguishing the degree of air pollution from mulberry leaf data. The results obtained can be used to refine the approaches used to passively determine the degree of air pollution in the habitat area of the plant. Methods and software tools could be used to develop mobile applications and new approaches to remote sensing, in express determination of the degree of environmental pollution, according to data from the mulberry leaves. |
| first_indexed | 2024-03-10T07:41:54Z |
| format | Article |
| id | doaj.art-c55ed521302144c7bec347ba4a0dbf2d |
| institution | Directory Open Access Journal |
| issn | 2076-3298 |
| language | English |
| last_indexed | 2024-03-10T07:41:54Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environments |
| spelling | doaj.art-c55ed521302144c7bec347ba4a0dbf2d2023-11-22T12:58:47ZengMDPI AGEnvironments2076-32982021-09-01898710.3390/environments8090087Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) LeavesSnejana Dineva0Petya Veleva-Doneva1Zlatin Zlatev2Faculty of Technics and Technologies, Trakia University, 8602 Yambol, BulgariaFaculty of Technics and Technologies, Trakia University, 8602 Yambol, BulgariaFaculty of Technics and Technologies, Trakia University, 8602 Yambol, BulgariaIn this paper, an analysis of the possibility of passive determination of the degree of environmental pollution based on data from the leaf blade of mulberry is made. With existing solutions in this area, the mulberry has been found to be under-researched. A disadvantage of the available solutions is that spectral indices are used, which is not a sufficient criterion for passively determining the degree of air pollution based on the surface characteristics of the mulberry leaves. Methods have been used to reduce the amount of data by latent variables and principal components. It has been found that a kernel variant of the principal components, combined with linear discriminant analysis, is an appropriate method for distinguishing the degree of air pollution from mulberry leaf data. The results obtained can be used to refine the approaches used to passively determine the degree of air pollution in the habitat area of the plant. Methods and software tools could be used to develop mobile applications and new approaches to remote sensing, in express determination of the degree of environmental pollution, according to data from the mulberry leaves.https://www.mdpi.com/2076-3298/8/9/87passive biomonitoringmulberry leavesPCAdiscriminant analysisspectral indices |
| spellingShingle | Snejana Dineva Petya Veleva-Doneva Zlatin Zlatev Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves Environments passive biomonitoring mulberry leaves PCA discriminant analysis spectral indices |
| title | Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves |
| title_full | Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves |
| title_fullStr | Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves |
| title_full_unstemmed | Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves |
| title_short | Urban Environmental Quality Assessment by Spectral Characteristics of Mulberry (<i>Morus</i> L.) Leaves |
| title_sort | urban environmental quality assessment by spectral characteristics of mulberry i morus i l leaves |
| topic | passive biomonitoring mulberry leaves PCA discriminant analysis spectral indices |
| url | https://www.mdpi.com/2076-3298/8/9/87 |
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