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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Generating Imperviousness Maps from Multispectral Sentinel-2 Satellite Imagery

Research datakeyboard_double_arrow_right Dataset 07 Sep 2022Publisher:Zenodo
Authors: Giovanni Giacco;

doi: 10.5281/zenodo.7058860 , 10.5281/zenodo.7058859

Generating Imperviousness Maps from Multispectral Sentinel-2 Satellite Imagery

Abstract

This dataset contains a list of Sentinel-2 tiles covering Italy for the year 2017. For each tile, a corresponding ground truth GeoTIFF is present which contains a clip of the soil consumption provided by ISPRA (https://www.isprambiente.gov.it). Dataset can be used to train a Machine Learning model to extract imperviousness maps using Sentinel-2 satellite images. More details can be found reading the paper: Giacco, G., Marrone, S., Langella, G., & Sansone, C. (2022). ReFuse: Generating Imperviousness Maps from Multi-Spectral Sentinel-2 Satellite Imagery. Future Internet, 14(10), 278.

Keywords

imperviousness remote sensing sentinel-2

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selected citations
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This is an alternative to the "Influence" indicator, which also 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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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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