SNOWED: Automatically Constructed Dataset of Satellite Imagery for Water Edge Measurements.

ABSTRACT: Monitoring the shoreline over time is essential to quickly identify and mitigate environmental issues such as coastal erosion. Monitoring using satellite images has two great advantages, i.e., global coverage and frequent measurement updates; but adequate methods are needed to extract shoreline information from such images. To this purpose, there are valuable non-supervised methods, but more recent research has concentrated on deep learning because of its greater potential in terms of generality, flexibility, and measurement accuracy, which, in contrast, derive from the information contained in large datasets of labeled samples. The first problem to solve, therefore, lies in obtaining large datasets suitable for this specific measurement problem, and this is a difficult task, typically req

SUBMITTER: Andria G 

PROVIDER: S-EPMC10181759 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature