SMCE Increases Speed to Science
The SMCE Increases Speed to Science In May of 2023 Ashapure, Pahlevan, Wainwright, Smith, Saranathan, and Zhai presented the success of the Aquaverse approach of using machine learning to create a more accurate robust atmospheric correction method for estimating remote sensing reflectance for aquatic remote sensing. It was also identified that with the superior results…