2026/02/22 by Scott D. Ducar, Tyler King, Michael F. Meyer +7 · 1 voice
Earth and Planetary Sciences · Environmental Science · #Marine and coastal ecosystems #Remote Sensing and LiDAR Applications #Remote Sensing in Agriculture
paper · doi:10.1002/lol2.70112
openalex publication_date 2026/02/22 · openalex created_date 2026/02/24 · openalex updated_date 2026/07/23
Abstract Satellite‐based earth observation is a robust tool for tracking change in ecosystems. While terrestrially focused applications of remote sensing have empowered wide adoption for research and management, remote sensing of inland aquatic ecosystems remains comparably nascent. This divergence, in part, stems from the lack of standardized, accessible, and near real‐time remotely sensed surface reflectance, atmospherically corrected for aquatic environments. To date, surface reflectance products at national scales and with minimal latency are typically designed exclusively for terrestrial environments. Rectifying this situation can be accomplished by applying aquatic‐focused atmospheric correction algorithms independent of those used for terrestrial ecosystems. As a first step to filling this data gap, we present the first national scale, dynamically updated, analysis‐ready, aquatic reflectance dataset for inland water derived from Sentinel‐2 for the conterminous United States.