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DC poleHodnotaJazyk
dc.contributor.authorHájek, Pavel
dc.contributor.authorKepka, Michal
dc.contributor.authorŠnevajs, Heřman
dc.contributor.authorKozhukh, Dimitrii
dc.contributor.authorCharvát, Karel
dc.contributor.authorZadražil, František
dc.date.accessioned2023-03-06T11:00:27Z-
dc.date.available2023-03-06T11:00:27Z-
dc.date.issued2022
dc.identifier.citationHÁJEK, P. KEPKA, M. ŠNEVAJS, H. KOZHUKH, D. CHARVÁT, K. ZADRAŽIL, F. COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES. In Symposium GIS Ostrava 2022 Earth Observation for Smart City and Smart Region. Ostrava: VSB - Technical University of Ostrava, 2022. s. 1-6. ISBN: 978-80-248-4602-6 , ISSN: 1213-239Xcs
dc.identifier.isbn978-80-248-4602-6
dc.identifier.issn1213-239X
dc.identifier.urihttp://hdl.handle.net/11025/51661
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVSB - Technical University of Ostravaen
dc.relation.ispartofseriesSymposium GIS Ostrava 2022 Earth Observation for Smart City and Smart Regionen
dc.rights© VSB - Technical University of Ostravaen
dc.titleCombination of openlanduse database and analysed sentinel 2 and sentinel 1 data for agriculture purposesen
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedCreating an Earth’s twin in sufficient detail and complex relations is a challenge for the future arising from strategies like DestinE or Green Deal. Enormous amount of geospatial data available these days leads to a necessity of a suitable data structure to provide understandable information to a general user. An Open Land Use database can serve as such a structure for integrating datasets of different themes, different spatial resolution, and different temporal validity. This paper shows an example of incorporating Earth observation data into the Open Land Use data model, to provide enhanced information about field blocks of a farm in Vyškov region in CZE with information about crop types planted in fields. The data for enhancing the OLU database were based on Sentinel-1 and Sentinel-2 images from 2020, analysed into the form of (un)supervised classification of crop types and various indexes, especially Enhanced Vegetation Index (EVI) and Radar Vegetation Index for Sentinel-1 SAR data (RVI4S1).en
dc.subject.translatedOpen Land Useen
dc.subject.translateddatabaseen
dc.subject.translatedcropen
dc.subject.translatedtypeen
dc.subject.translatedindexen
dc.subject.translatedclassificationen
dc.identifier.doi10.31490/9788024846026-2
dc.type.statusPeer-revieweden
dc.identifier.obd43937387
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference Papers (KGM)
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