2026-10-15T09:55:53Z https://data.mendeley.com/oai

oai:data.mendeley.com/wp7p6srdvy.1 2026-04-30T12:09:20Z

Xue, Cheng Sentinel-2 MSI-derived chlorophyll-a and turbidity datasets for the Indian River Lagoon system (Florida, USA) University of South Florida This dataset provides satellite-derived chlorophyll-a (Chla) and turbidity (Turb) maps for the Indian River Lagoon system (Florida, USA) at high spatial resolution (20 m), generated from Sentinel-2 Multispectral Imager (MSI) observations for the period 2016–2023. The data were derived using regionally optimized algorithms developed for optically complex waters, with rigorous quality control applied to satellite–in situ matchups and a dynamic optically shallow water mask applied to daily imagery. Monthly and annual products are provided in GeoTIFF format. The geographic extent covers the Indian River Lagoon system (Mosquito Lagoon, Banana River Lagoon, and the Indian River Lagoon) along the east coast of Florida, USA. All products were generated from publicly available Sentinel-2 data provided by the European Space Agency (Copernicus program). Detailed methods are described in a manuscript currently under review. In addition to the datasets archived here, daily Chla_MSI and Turb_MSI imagery can be accessed through https://optics.marine.usf.edu under “Satellite Data Products” > “High Resolution”. Water Quality Lagoon Optical Remote Sensing Algorithm Development for Remote Sensing Florida Cannizzaro, Jennifer Hu, Chuanmin Barnes, Brian Xie, Yuyuan Dataset doi:10.17632/wp7p6srdvy.1 oai:data.mendeley.com/wp7p6srdvy.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://digitalcommonsdata.usf.edu/datasets/wp7p6srdvy 2026-04-30T12:09:20Z