Abstract
We proposed a simple algorithm to retrieve the total ozone column and snow properties (spectral albedo and effective light absorption path) using the high spatial resolution single–view MSI/S-2 measurements over Antarctica. In addition, the algorithm allows the retrieval of the snow grain size on a scale of 10–20 m. This algorithm should be useful for the understanding of intra-pixel total ozone and snow albedo variability in complement to satellite observations performed on a much coarser spatial resolution scale (0.3–1 km and even larger spatial scales).
Highlights
Sentinel-2 (S-2) is an Earth observation mission from the Copernicus Programme that systematically acquires optical imagery at high spatial resolution (10 m to 60 m) over land and coastal waters
We present the validation of the algorithm using groundbased snow spectral albedo and total ozone column (TOC) measurements performed at Dome C (75◦ 050 5900 S, 123◦ 190 5600 E, 3233 m above sea level) in Antarctica
We show the TOC derived from other satellite/ground observations and European Centre for Medium-Range Weather Forecasts (ECMWF)
Summary
Sentinel-2 (S-2) is an Earth observation mission from the Copernicus Programme that systematically acquires optical imagery at high spatial resolution (10 m to 60 m) over land and coastal waters. The mission is a constellation with two twin satellites, S-2A and. The satellites were launched on 23 June 2015 and 7 March 2017, respectively. It is planned that S-2C and S-2D will be launched during the 10 years. The S-2 mission is equipped with the Multi-Spectral Instrument (MSI), which uses a push-broom concept and its design has been driven by the large (290 km) swath and high (10–60 m) spatial resolution requirements. The instrument has already been used for numerous applications including studies of lake ecological quality [1], winter wheat [2] and seasonal agriculture land use [3] mapping, etc
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