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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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IRIS Cnr
Dataset . 2020
Data sources: IRIS Cnr
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Ground Truth and Automated Classification from Copernicus Sentinel-2 Imagery

Authors: Sarti Maurizio; Ciolfi Marco; Lauteri Marco; Paris Pierluigi; Chiocchini Francesca;

Ground Truth and Automated Classification from Copernicus Sentinel-2 Imagery

Abstract

Ground-Truth and Sentinel2 imagery classification of Trees Outside Forest in an agroforestry landscape in Umbria, Italy. Location: Alfina plains, Castelgiorgio area, Umbria, Italy. Reference system: EPSG:32632 (WGS84, UTM zone 32 North) Extent: West 740609 — East 750828, South 4726490 — North 4737250 Dataset format: geopackage, a single file data.gpkg containing 9 vector layers (in alphabetical order): Areas — Areas of interest, 2 polygons Classification — Automated classification from Sentinel2 imagery, 11781 polygons Hedgerows1 — Ground truth, hedgerows of Area1, 148 lines Hedgerows2 — Ground truth, hedgerows of Area2, 135 lines Sentinel2 — Sentinel2 scenes footprint, one polygon Trees1 — Ground truth, isolated trees of Area1, 55 points Trees2 — Ground truth, isolated trees of Area2, 64 points Woods1 — Ground truth, small forest patches of Area1, 33 polygons Woods2 — Ground truth, small forest patches of Area2, 37 polygons Accompanying map: map.qgz, Qgis 3.6 format. The geopackage dataset is supposed to be stored in the same directory of the map (relative path = ./) Dataset description and metadata: meta.pdf

This dataset is used in the article Trees Outside Forest in Italian agroforestry landscapes: detection and mapping using Sentinel-2 imagery, to be submitted to the European Journal of Remote Sensing https://www.tandfonline.com/toc/tejr20/current.

Country
Italy
Keywords

remote sensing, rural landscape, forest inventory, rural landscapes, forest inventories, ecological network, biodiversity

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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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