The Wetland Map Validation for Ukraine

dc.contributor.authorShelestov, Andrii
dc.contributor.authorYailymova, Hanna
dc.contributor.authorYailymov, Bohdan
dc.contributor.authorChyrkov, Artem
dc.date.accessioned2022-02-07T14:08:31Z
dc.date.available2022-02-07T14:08:31Z
dc.date.issued2021
dc.description.abstractenThis paper considers the topical issue of using data from a drone with a very high spatial resolution to solve the problems of validation of individual classes on land cover maps obtained at the national level with a 10-meter spatial resolution. In particular, this study validated the land cover map for the territory of Ukraine for 2020 and conducted a comparative analysis of orthophoto data with open Sentinel-2 satellite data, as well as validated some wetland locations from the classification map for Ukraine. Comparative analysis showed that orthophotoplane data have a correlation from 0.3 to 0.7 depending on the drone survey parameters with the Sentinel-2 satellite, and large wetlands on data with 10-meter spatial resolution are identified with an overall accuracy of 90%, but for more accurate details of wetlands contours correct will be the use of orthophotos data.uk
dc.format.pagerangeP. 373-376uk
dc.identifier.citationThe Wetland Map Validation for Ukraine / Shelestov, A., Yailymova, H., Yailymov, B., Chyrkov, A. // In 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). – 2021, September. – Vol. 1. – P. 373-376.uk
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/46200
dc.language.isoenuk
dc.publisherIEEEuk
dc.subjectorthophotoplanuk
dc.subjectdrone datauk
dc.subjectclassificationuk
dc.subjectvalidationuk
dc.titleThe Wetland Map Validation for Ukraineuk
dc.typeArticleuk

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