Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia
This study proposed a method for detecting vegetation changes and establishing geospatial management zones based on the 10-year phenology analysis using normalized difference vegetation index (NDVI) long-term trends from Landsat 8 multispectral imagery in Nature Park Kopački rit. The main components...
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| Format: | Article |
| Language: | English |
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University of Novi Sad, Department of Geography, Tourism and Hotel Management
2024-01-01
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| Series: | Geographica Pannonica |
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| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2024/0354-87242404238R.pdf |
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| author | Radočaj Dorijan Plaščak Ivan Jurišić Mladen Majić Ivana Ozimec Siniša Sarajlić Ankica Rožac Vlatko |
| author_facet | Radočaj Dorijan Plaščak Ivan Jurišić Mladen Majić Ivana Ozimec Siniša Sarajlić Ankica Rožac Vlatko |
| author_sort | Radočaj Dorijan |
| collection | DOAJ |
| description | This study proposed a method for detecting vegetation changes and establishing geospatial management zones based on the 10-year phenology analysis using normalized difference vegetation index (NDVI) long-term trends from Landsat 8 multispectral imagery in Nature Park Kopački rit. The main components of the proposed method include phenology analysis and NDVI anomaly detection supported by unsupervised k-means classification of vegetation management zones. The reference monthly NDVI values (2013-2019) with three test years (2020-2022) strongly indicated very high heterogeneity in vegetation activity. A 100 m spatial resolution and a monthly temporal resolution were used. The results of unsupervised k-means classification in five vegetation activity classes indicated that three of these classes have considerably high negative NDVI anomalies, covering 64.1% of the study area. While the proposed method ensures the detection of vegetation changes and vegetation activity zones, a comprehensive field observation is required to determine the potential environmental and/or anthropogenic causes. However, the proposed approach significantly reduces the need for extensive fieldwork, allowing biologists to focus their efforts on areas with detected abnormal vegetation activity. |
| format | Article |
| id | doaj-art-e1a90ab5302d4413ab8fee20512ae60c |
| institution | Kabale University |
| issn | 0354-8724 1820-7138 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | University of Novi Sad, Department of Geography, Tourism and Hotel Management |
| record_format | Article |
| series | Geographica Pannonica |
| spelling | doaj-art-e1a90ab5302d4413ab8fee20512ae60c2025-02-05T12:25:35ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel ManagementGeographica Pannonica0354-87241820-71382024-01-0128423824910.5937/gp28-508020354-87242404238RPhenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, CroatiaRadočaj Dorijan0https://orcid.org/0000-0002-7151-7862Plaščak Ivan1https://orcid.org/0000-0001-8700-4773Jurišić Mladen2https://orcid.org/0000-0002-8105-6983Majić Ivana3https://orcid.org/0000-0002-8699-3378Ozimec Siniša4https://orcid.org/0000-0003-4203-5909Sarajlić Ankica5https://orcid.org/0000-0002-9194-2786Rožac Vlatko6Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, CroatiaJosip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, CroatiaJosip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, CroatiaJosip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, CroatiaJosip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, CroatiaJosip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, CroatiaPublic Institution Nature Park Kopacki Rit, Kopacevo, CroatiaThis study proposed a method for detecting vegetation changes and establishing geospatial management zones based on the 10-year phenology analysis using normalized difference vegetation index (NDVI) long-term trends from Landsat 8 multispectral imagery in Nature Park Kopački rit. The main components of the proposed method include phenology analysis and NDVI anomaly detection supported by unsupervised k-means classification of vegetation management zones. The reference monthly NDVI values (2013-2019) with three test years (2020-2022) strongly indicated very high heterogeneity in vegetation activity. A 100 m spatial resolution and a monthly temporal resolution were used. The results of unsupervised k-means classification in five vegetation activity classes indicated that three of these classes have considerably high negative NDVI anomalies, covering 64.1% of the study area. While the proposed method ensures the detection of vegetation changes and vegetation activity zones, a comprehensive field observation is required to determine the potential environmental and/or anthropogenic causes. However, the proposed approach significantly reduces the need for extensive fieldwork, allowing biologists to focus their efforts on areas with detected abnormal vegetation activity.https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2024/0354-87242404238R.pdfvegetation activity"npphen" packagemanagement zonesphenology analysisnormalized difference vegetation index (ndvi)k-means classification |
| spellingShingle | Radočaj Dorijan Plaščak Ivan Jurišić Mladen Majić Ivana Ozimec Siniša Sarajlić Ankica Rožac Vlatko Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia Geographica Pannonica vegetation activity "npphen" package management zones phenology analysis normalized difference vegetation index (ndvi) k-means classification |
| title | Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia |
| title_full | Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia |
| title_fullStr | Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia |
| title_full_unstemmed | Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia |
| title_short | Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia |
| title_sort | phenology analysis for detection of vegetation changes based on landsat 8 images in nature park kopacki rit croatia |
| topic | vegetation activity "npphen" package management zones phenology analysis normalized difference vegetation index (ndvi) k-means classification |
| url | https://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2024/0354-87242404238R.pdf |
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