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Sentinel2_manually_extracted_deep_water_spectra_with_high_noise_levels_and_sunglint.zip (63.69 MB)

Sentinel 2 manually extracted deep water spectra with high noise levels and sunglint

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posted on 2020-01-29, 11:34 authored by Viktoria KristollariViktoria Kristollari, Vassilia Karathassi
This dataset includes 2.133.324 reflectance water spectra which were manually extracted by visual observation from 30 Sentinel 2 level 1C satellite images. The spectra were extracted from deep water areas with high noise levels and sunglint. The Sentinel 2 images depicted 2 tiles of the same orbit and were collected in 2016 (2 images), 2017 (19 images) and 2018 (9 images). The images contain 13 bands, 3 with 60 m spatial resolution, 4 with 10 m spatial resolution and 6 with 20 m spatial resolution. Before the spectra extraction, the bands with spatial resolution 10 and 20 m were resampled to 60 m and then the images were cropped in order to remove the land and depict optically homogenous sea regions. A figure depicting the location of the Sentinel 2 tiles (white polygons (1,2)) and the cropped tiles (red polygons (3,4)) is included in this folder. A figure depicting example scenes from which spectra were obtained through regions of interest (rois) is included as well.
The spectra are stored in .csv files. Each file is named after the name of the Sentinel 2 product which includes sensing and creation date as well the relative orbit number and tile code. The content of each file includes latitude and longitude coordinates (UTM/WGS84 projection) of each spectral signature as well as the reflectance values of the 13 Sentinel 2 bands.

This dataset was created for the purpose of the study described in https://www.tandfonline.com/doi/full/10.1080/01431161.2020.1714776

Funding

This research was conducted in the framework of the SEO-DWARF project (https://cordis.europa.eu/project/id/691071) supported by H2020 Marie Sklodowska-Curie Actions (http://dx.doi.org/10.13039/100010665)

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