Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine
The Cheremskyi Nature Reserve, situated in the Volyn region of Ukraine, constitutes a pivotal element of the European ecological network, distinguished by its distinctive mosaic of peatlands, bogs, and floodplain forests. This study utilizes Sentinel-2 satellite imagery and the Google Earth Engine (...
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MDPI AG
2025-04-01
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| author | Oleksandr Melnyk Ansgar Brunn |
| author_facet | Oleksandr Melnyk Ansgar Brunn |
| author_sort | Oleksandr Melnyk |
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| description | The Cheremskyi Nature Reserve, situated in the Volyn region of Ukraine, constitutes a pivotal element of the European ecological network, distinguished by its distinctive mosaic of peatlands, bogs, and floodplain forests. This study utilizes Sentinel-2 satellite imagery and the Google Earth Engine (GEE) to assess the spatiotemporal patterns of various vegetation indices (NDVI, EVI, SAVI, MSAVI, GNDVI, NDRE, NDWI) from 2017 to 2024. The study aims to select the most suitable combination of vegetation spectral indices for future research. The analysis reveals significant negative trends in NDVI, SAVI, MSAVI, GNDVI, and NDRE, indicating a decline in vegetation health, while NDWI shows a positive trend, suggesting an increased vegetation water content. Correlation analysis underscores robust interrelationships among the indices, with NDVI and SAVI identified as the most significant through random forest feature importance analysis. Principal component analysis (PCA) further elucidates the primary axes of variability, emphasizing the complex interplay between vegetation greenness and moisture content. The findings underscore the utility of multi-index analyses in enhancing predictive capabilities for ecosystem monitoring and support targeted conservation strategies for the sustainable management of the Cheremskyi Nature Reserve. |
| format | Article |
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| institution | Matheson Library |
| issn | 2673-4834 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-c65e45f246324b9aa1cb35018b588a932025-06-25T13:43:41ZengMDPI AGEarth2673-48342025-04-01622810.3390/earth6020028Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, UkraineOleksandr Melnyk0Ansgar Brunn1Department of Geodesy, Land Management and Cadastre, Lesya Ukrainka Volyn National University, 43000 Lutsk, UkraineFaculty of Plastics Engineering and Surveying, Technical University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, GermanyThe Cheremskyi Nature Reserve, situated in the Volyn region of Ukraine, constitutes a pivotal element of the European ecological network, distinguished by its distinctive mosaic of peatlands, bogs, and floodplain forests. This study utilizes Sentinel-2 satellite imagery and the Google Earth Engine (GEE) to assess the spatiotemporal patterns of various vegetation indices (NDVI, EVI, SAVI, MSAVI, GNDVI, NDRE, NDWI) from 2017 to 2024. The study aims to select the most suitable combination of vegetation spectral indices for future research. The analysis reveals significant negative trends in NDVI, SAVI, MSAVI, GNDVI, and NDRE, indicating a decline in vegetation health, while NDWI shows a positive trend, suggesting an increased vegetation water content. Correlation analysis underscores robust interrelationships among the indices, with NDVI and SAVI identified as the most significant through random forest feature importance analysis. Principal component analysis (PCA) further elucidates the primary axes of variability, emphasizing the complex interplay between vegetation greenness and moisture content. The findings underscore the utility of multi-index analyses in enhancing predictive capabilities for ecosystem monitoring and support targeted conservation strategies for the sustainable management of the Cheremskyi Nature Reserve.https://www.mdpi.com/2673-4834/6/2/28remote sensingsentinel-2peatlandswetlandsvegetation indicesecosystem monitoring |
| spellingShingle | Oleksandr Melnyk Ansgar Brunn Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine Earth remote sensing sentinel-2 peatlands wetlands vegetation indices ecosystem monitoring |
| title | Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine |
| title_full | Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine |
| title_fullStr | Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine |
| title_full_unstemmed | Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine |
| title_short | Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine |
| title_sort | analysis of spectral index interrelationships for vegetation condition assessment on the example of wetlands in volyn polissya ukraine |
| topic | remote sensing sentinel-2 peatlands wetlands vegetation indices ecosystem monitoring |
| url | https://www.mdpi.com/2673-4834/6/2/28 |
| work_keys_str_mv | AT oleksandrmelnyk analysisofspectralindexinterrelationshipsforvegetationconditionassessmentontheexampleofwetlandsinvolynpolissyaukraine AT ansgarbrunn analysisofspectralindexinterrelationshipsforvegetationconditionassessmentontheexampleofwetlandsinvolynpolissyaukraine |