Výsledky vyhledávání - "Xeni Kechagioglou"

Akademický článek

Vegetation cover indexes in urban areas: Landscape Ecology studies with Sentinel2 images

Autor: Ana Clara Mourão Moura, Nicole Andrade da Rocha, Ítalo Sousa de Sena, Xeni Kechagioglou, Michele Campagna

Publikováno v: Revista Brasileira de Cartografia, Vol 70 (2018)

The paper defends the importance of access to data, as Copernicus Project that allows the use Sentinel satellite images to map land use. It puts emphasis in vegetation cover, using metrics of Landscape Ecology, mainly the edge effect, to measure the

Externí odkaz: https://doaj.org/article/b41eafb8ebce4df698132751adeda419

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Gathering data from different Research infrastructures: lessons learnt from the soil water content use case of the ENVRI-Fair project

Autor: André Chanzy, Giovanni L'Abate, Lucia Vaira, Xeni Kechagioglou, Christian Pichot, Alberto Basset, Dario Papale

Soil water content (SWC) is a key variable in many ecosystem processes as the vegetation dynamic, the biogeochemical cycles, water balance, soil physical properties. However, SWC presents very strong spatial variations linked to the heterogeneity of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::780bd3e147b5a5976128f4ce9fd19e5c
https://doi.org/10.5194/egusphere-egu23-14305

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FAIR-IMPACT project response to 'Community-driven governance of FAIRness assessment: an open issue, an open discussion'

Autor: Maaike Verburg, Mike Priddy, Robert Huber, Clement Jonquet, Neil Chue Hong, Daniel Garijo, Xeni Kechagioglou, Joy Davidson, Ingrid Dillo, Vasso Kalaitzi

At the end of 2022, an author group led by the EOSC Association Task Force on FAIR Metrics and Data Quality published ‘Community-driven governance of FAIRness assessment: an open issue, an open discussion’ which, as the title suggests, aims to fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00c7a5da0be3e0bf49efc0cc68f6c05f

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Sharing Geoprocessing Workflows with Business Process Model and Notation (BPMN)

Autor: Rob Lemmens, V. Retsios, Xeni Kechagioglou

Publikováno v: ICGDA
ICGDA 2019: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis, 56-60
STARTPAGE=56;ENDPAGE=60;TITLE=ICGDA 2019

Graphical geoprocessing workflows are often built visually on interactive canvases of GIS software. Such workflows cannot be shared among different software, due to structural and semantical differences. This study experiments with a workflow created

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab357f097df634275c00c30fef09f45
https://doi.org/10.1145/3318236.3318239

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