Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Robust Atmospheric Correction Procedure for Determination of Spectral Albedo of Terrestrial Surfaces from Satellite Spectral Reflectance Measurements

Version 1 : Received: 19 February 2021 / Approved: 22 February 2021 / Online: 22 February 2021 (12:01:13 CET)

How to cite: Katsev, I.; Prikhach, A.; Zege, E.; Kokhanovsky, A. Robust Atmospheric Correction Procedure for Determination of Spectral Albedo of Terrestrial Surfaces from Satellite Spectral Reflectance Measurements. Preprints 2021, 2021020463. https://doi.org/10.20944/preprints202102.0463.v1 Katsev, I.; Prikhach, A.; Zege, E.; Kokhanovsky, A. Robust Atmospheric Correction Procedure for Determination of Spectral Albedo of Terrestrial Surfaces from Satellite Spectral Reflectance Measurements. Preprints 2021, 2021020463. https://doi.org/10.20944/preprints202102.0463.v1

Abstract

In this work, we propose simple and robust technique for the retrieval of underlying surface spectral albedo using spaceborne observations. It can be used to process both multispectral moderate resolution satellite data and also multi - zone high spatial resolution data. The technique can work automatically for different types of land surfaces without using huge databases accumulated in advance. The new cloud discrimination and retrieval of the water vapor content in atmosphere procedures are presented. The key point of the proposed atmospheric correction technique is the suggested single-wavelength method for determining the atmospheric aerosol optical thickness without reference to a specific type of underlying surface spectrum. The retrievals of spectral albedo for various land surfaces with developed technique, performed using computer simulation and experimental data, have demonstrated a high retrieval accuracy.

Keywords

atmospheric correction; cloud mask; water vapor content; spectral radiance; surface spectral albedo; aerosol optical thickness

Subject

Environmental and Earth Sciences, Environmental Science

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