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Compressed high-spatial-resolution imagery to train and validate seagrass percent cover mapping using sentinel-2 imagery | Synapse
March 3, 2026
Compressed high-spatial-resolution imagery to train and validate seagrass percent cover mapping using sentinel-2 imagery
PW
Pramaditya Wicaksono
SH
Setiawan Djody Harahap
SA
Safina Rajwaa Ananda
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Key Points
Seagrass percent cover mapping achieved high accuracy, enhancing coastal management efforts.
The study demonstrates an accuracy rate exceeding 85% in identifying seagrass cover.
Analysis using high-spatial-resolution imagery from Sentinel-2 facilitates better monitoring of marine environments.
Improved methodologies for detecting seagrass cover could benefit future environmental assessments.
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Wicaksono et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75ac9c6e9836116a210f8
https://doi.org/https://doi.org/10.1016/j.rsma.2026.104808
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