Providing a framework for seagrass mapping in United States coastal ecosystems using high spatial resolution satellite imagery.

ABSTRACT: Seagrasses have been widely recognized for their ecosystem services, but traditional seagrass monitoring approaches emphasizing ground and aerial observations are costly, time-consuming, and lack standardization across datasets. This study leveraged satellite imagery from Maxar's WorldView-2 and WorldView-3 high spatial resolution, commercial satellite platforms to provide a consistent classification approach for monitoring seagrass at eleven study areas across the continental United States, representing geographically, ecologically, and climatically diverse regions. A single satellite image was selected at each of the eleven study areas to correspond temporally to reference data representing seagrass coverage and was classified into four general classes: land, seagrass, no seagrass, and n

SUBMITTER: Coffer MM 

PROVIDER: S-EPMC10622156 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature