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IdePix for Sentinel-2 MSI Algorithm Theoretical Basis Document

Authors: Jan Wevers; Dagmar Müller; Jorrit Scholze; Grit Kirches; Ralf Quast; Carsten Brockmann;

IdePix for Sentinel-2 MSI Algorithm Theoretical Basis Document

Abstract

This document provides the theoretical basis for the Sentinel-2 MSI IdePix. IdePix stands for Identification of Pixel properties and is a multi-sensor pixel identification tool available as a SNAP (Sentinel Application Platform) plugin. IdePix provides pixel identification algorithms for a wide variety of sensors like Sentinel-2 MSI, Sentinel-3 OLCI, MERIS, Landsat-8, MODIS, VIIRS, Proba-V or SPOT VGT. IdePix for Sentinel-2 MSI classifies pixels of L1C products into a series of categories (flags) for further processing using a mono-temporal approach and background information. The IdePix processor derives water droplet based cloud flags and cirrus cloud flags on multiple confidence levels, as well as cloud shadow, mountain shadow, snow/ice and water flags. This Algorithmic Theoretical Basis Document (ATBD) provides a scientific description of the methods used for the Sentinel-2 MSI IdePix.

Keywords

Earth Observation, Remote sensing, Sentinel-2, Cloud detection, SNAP

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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