Seagrass mapping using high resolution multispectral satellite imagery: A comparison of water column correction models

•A literature review of seagrass mapping with satellite data is presented.•Benthic maps have been generated in challenging shallow water scenarios.•Lyzenga and Sagawa water column correction models have been analyzed.•Machine learning classifiers (SVM and KNN) have excellent performance.•Lyzenga (DII) and Sagawa worsen benthic classification in deep and complex waters.