Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka
Remote sensing constitutes a broad and influential discipline that has assumed a significant role in vegetation mapping on a global scale in recent years. The availability of an accurate vegetation map assists future ecological studies and the management of protected areas. This study was conducted...
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| Format: | Article |
| Language: | English |
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Mahidol University
2025-01-01
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| Series: | Environment and Natural Resources Journal |
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| Online Access: | https://ph02.tci-thaijo.org/index.php/ennrj/article/view/253632/171391 |
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| author | Pasindu Rodrigo Charani Gunathilaka Dulan Jayasekara Dharshani Mahaulpatha |
| author_facet | Pasindu Rodrigo Charani Gunathilaka Dulan Jayasekara Dharshani Mahaulpatha |
| author_sort | Pasindu Rodrigo |
| collection | DOAJ |
| description | Remote sensing constitutes a broad and influential discipline that has assumed a significant role in vegetation mapping on a global scale in recent years. The availability of an accurate vegetation map assists future ecological studies and the management of protected areas. This study was conducted to identify and map the available habitats in Kumana National Park (KNP), Sri Lanka. We utilized multiple environmental covariates obtained via field surveys and remote sensing techniques for the initial categorization of habitats based on principal component analysis. Vegetation maps for KNP were generated by applying multiple classification algorithms to Sentinel 2 multispectral satellite imagery. The maximum likelihood classification (MLC) model generated the most accurate and detailed vegetation map for KNP, which was verified with ground truth data (overall accuracy of 93%; Kappa, 87%). The study’s findings furnish precise insights into the vegetation cover of KNP, thereby augmenting knowledge on the spatial distribution of habitats to support the future work of researchers and park managers. This map offers significantly improved resolution and spatial detail compared to previous maps. It also increased the number of identified habitat types from four to six. These findings can be used to identify critical areas for both terrestrial and aquatic fauna within KNP and support habitat conservation and management strategies in the park. |
| format | Article |
| id | doaj-art-d9e86c7d99ad4a0e9595df0f565f1302 |
| institution | Kabale University |
| issn | 1686-5456 2408-2384 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Mahidol University |
| record_format | Article |
| series | Environment and Natural Resources Journal |
| spelling | doaj-art-d9e86c7d99ad4a0e9595df0f565f13022025-01-27T08:19:17ZengMahidol UniversityEnvironment and Natural Resources Journal1686-54562408-23842025-01-01231283910.32526/ennrj/23/20240104Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri LankaPasindu Rodrigo0Charani Gunathilaka1Dulan Jayasekara2Dharshani Mahaulpatha3Department of Zoology, Faculty of Applied Sciences, University of Sri Jayewardenepura, Sri LankaDepartment of Zoology, Faculty of Applied Sciences, University of Sri Jayewardenepura, Sri LankaDepartment of Zoology, Faculty of Applied Sciences, University of Sri Jayewardenepura, Sri LankaDepartment of Zoology, Faculty of Applied Sciences, University of Sri Jayewardenepura, Sri LankaRemote sensing constitutes a broad and influential discipline that has assumed a significant role in vegetation mapping on a global scale in recent years. The availability of an accurate vegetation map assists future ecological studies and the management of protected areas. This study was conducted to identify and map the available habitats in Kumana National Park (KNP), Sri Lanka. We utilized multiple environmental covariates obtained via field surveys and remote sensing techniques for the initial categorization of habitats based on principal component analysis. Vegetation maps for KNP were generated by applying multiple classification algorithms to Sentinel 2 multispectral satellite imagery. The maximum likelihood classification (MLC) model generated the most accurate and detailed vegetation map for KNP, which was verified with ground truth data (overall accuracy of 93%; Kappa, 87%). The study’s findings furnish precise insights into the vegetation cover of KNP, thereby augmenting knowledge on the spatial distribution of habitats to support the future work of researchers and park managers. This map offers significantly improved resolution and spatial detail compared to previous maps. It also increased the number of identified habitat types from four to six. These findings can be used to identify critical areas for both terrestrial and aquatic fauna within KNP and support habitat conservation and management strategies in the park.https://ph02.tci-thaijo.org/index.php/ennrj/article/view/253632/171391maximum likelihood classificationprotected arearemote sensingsentinel 2vegetation classification |
| spellingShingle | Pasindu Rodrigo Charani Gunathilaka Dulan Jayasekara Dharshani Mahaulpatha Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka Environment and Natural Resources Journal maximum likelihood classification protected area remote sensing sentinel 2 vegetation classification |
| title | Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka |
| title_full | Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka |
| title_fullStr | Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka |
| title_full_unstemmed | Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka |
| title_short | Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka |
| title_sort | habitat categorization and vegetation mapping of kumana national park sri lanka |
| topic | maximum likelihood classification protected area remote sensing sentinel 2 vegetation classification |
| url | https://ph02.tci-thaijo.org/index.php/ennrj/article/view/253632/171391 |
| work_keys_str_mv | AT pasindurodrigo habitatcategorizationandvegetationmappingofkumananationalparksrilanka AT charanigunathilaka habitatcategorizationandvegetationmappingofkumananationalparksrilanka AT dulanjayasekara habitatcategorizationandvegetationmappingofkumananationalparksrilanka AT dharshanimahaulpatha habitatcategorizationandvegetationmappingofkumananationalparksrilanka |