# Comparison of seagrass cover from multi-scale imagery
> Sabilah A.A.

URL kanonis: https://discover.unhas.ac.id/publications/comparison-of-seagrass-cover-from-multi-scale-imagery
Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science
Tahun terbit: 2020
DOI: https://doi.org/10.1088/1755-1315/564/1/012063
ISSN: 17551307
Citations: 1

## Authors
- Sabilah A.A.

## Abstract
Abstract Mapping of seagrass bed can be done by using different characteristics of satellite images data such as Landsat-8 and Sentinel-2. However, there has been no research compared to the results from those images in Indonesia. This study aims to analyze and compare spatially the condition of seagrass bed from Landsat-8 and Sentinel-2 imagery covered Kodingareng Lompo island. Spatially sharpened (Pan-sharpening) Landsat-8 imagery from 30 to 15 meters resolution in four spectral bands (visible and NIR) were used in this case. The results showed the four classes seagrass cover percentage consisted of sparse class (0 – 25%), medium-class (26 – 50%), dense class (51 – 75%), and very dense class (76 – 100%). Classification of seagrass cover class and water column correction (Depth Invariant Index) value differed between the two imageries. Accuracy test of seagrass cover classification from Landsat-8 (88.1%) and Sentinel-2 (89.2%) were both suitable to use since they were higher than the standard value (>85%). Differences in the characteristics of both images cause differences in the results of the seagrass cover classification.

## Keywords
- Seagrass
- Remote sensing
- Environmental science
- Scale (ratio)
- Cover (algebra)
- Satellite imagery
- Sharpening
- Physical geography
- Geology
- Cartography
- Geography
- Computer science
- Artificial intelligence
- Biology
- Ecology
- Ecosystem
- Mechanical engineering
- Engineering

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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