| Issue |
E3S Web Conf.
Volume 442, 2023
International Seminar on Fish and Fisheries Sciences (ISFFS 2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 10 | |
| Section | Fish Capture, Fishing Gear, and Remote Sensing | |
| DOI | https://doi.org/10.1051/e3sconf/202344203001 | |
| Published online | 09 November 2023 | |
Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park
1 Faculty of Marine Science and Fisheries Udayana University, Bali
2 Faculty of Mathematics and Natural Sciences Udayana University, Bali
3 Environment Research Centre Udayana University, Bali
4 Bogor Agricultural University, Bogor
* Corresponding author: pplh@unud.ac.id
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.*
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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