Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park
The remote sensing implementation is beneficial as a means of monitoring the ecosystem. Landsat imagery is a remote sensing (open access) based data source with a long and wide monitoring period with good image quality. This study compares the accuracy of Landsat 8 and Landsat 9 satellite images in...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/79/e3sconf_isffs2023_03001.pdf |
| _version_ | 1797345572059873280 |
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| author | As-syakur Abd. Rahman Aryunisha Putu Echa Priyaning Wijana I. Made Sara Novanda I. Gede Agus Dewi I. Gusti Ayu Istri Pradnyandari Andiani Anak Agung Eka Premananda Made Goura Sugiana I. Putu |
| author_facet | As-syakur Abd. Rahman Aryunisha Putu Echa Priyaning Wijana I. Made Sara Novanda I. Gede Agus Dewi I. Gusti Ayu Istri Pradnyandari Andiani Anak Agung Eka Premananda Made Goura Sugiana I. Putu |
| author_sort | As-syakur Abd. Rahman |
| collection | DOAJ |
| description | The remote sensing implementation is beneficial as a means of monitoring the ecosystem. Landsat imagery is a remote sensing (open access) based data source with a long and wide monitoring period with good image quality. This study compares the accuracy of Landsat 8 and Landsat 9 satellite images in detecting mangrove canopy cover using 13 different remote sensing vegetation indices in the West Bali National Park, Indonesia. The mangrove canopy cover data was collected with the hemispherical photography method. A linear regression test was conducted to determine the relationship between the remote sensing vegetation indices and the field's percentage of mangrove canopy cover. The result indicated that Landsat 8 was more accurate in detecting mangrove canopy cover than Landsat 9. Of the 13 remote sensing indices evaluated, the Chlorophyll Vegetation Index (CVI) had the highest accuracy, with R2 values of 0.86 and 0.75 for Landsat 8 and 9, respectively.* |
| first_indexed | 2024-03-08T11:20:39Z |
| format | Article |
| id | doaj.art-a3537533d83e44baa7f3f66a06eec6c8 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:20:39Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-a3537533d83e44baa7f3f66a06eec6c82024-01-26T10:02:20ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014420300110.1051/e3sconf/202344203001e3sconf_isffs2023_03001Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National ParkAs-syakur Abd. Rahman0Aryunisha Putu Echa Priyaning1Wijana I. Made Sara2Novanda I. Gede Agus3Dewi I. Gusti Ayu Istri Pradnyandari4Andiani Anak Agung Eka5Premananda Made Goura6Sugiana I. Putu7Faculty of Marine Science and Fisheries Udayana UniversityFaculty of Marine Science and Fisheries Udayana UniversityFaculty of Mathematics and Natural Sciences Udayana UniversityEnvironment Research Centre Udayana UniversityEnvironment Research Centre Udayana UniversityEnvironment Research Centre Udayana UniversityEnvironment Research Centre Udayana UniversityBogor Agricultural UniversityThe remote sensing implementation is beneficial as a means of monitoring the ecosystem. Landsat imagery is a remote sensing (open access) based data source with a long and wide monitoring period with good image quality. This study compares the accuracy of Landsat 8 and Landsat 9 satellite images in detecting mangrove canopy cover using 13 different remote sensing vegetation indices in the West Bali National Park, Indonesia. The mangrove canopy cover data was collected with the hemispherical photography method. A linear regression test was conducted to determine the relationship between the remote sensing vegetation indices and the field's percentage of mangrove canopy cover. The result indicated that Landsat 8 was more accurate in detecting mangrove canopy cover than Landsat 9. Of the 13 remote sensing indices evaluated, the Chlorophyll Vegetation Index (CVI) had the highest accuracy, with R2 values of 0.86 and 0.75 for Landsat 8 and 9, respectively.*https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/79/e3sconf_isffs2023_03001.pdf |
| spellingShingle | As-syakur Abd. Rahman Aryunisha Putu Echa Priyaning Wijana I. Made Sara Novanda I. Gede Agus Dewi I. Gusti Ayu Istri Pradnyandari Andiani Anak Agung Eka Premananda Made Goura Sugiana I. Putu Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park E3S Web of Conferences |
| title | Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park |
| title_full | Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park |
| title_fullStr | Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park |
| title_full_unstemmed | Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park |
| title_short | Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park |
| title_sort | comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in west bali national park |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/79/e3sconf_isffs2023_03001.pdf |
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