Wetland change detection using Sentinel-2 in the part of Latvia
2023
Skromulis, Andris | Breidaks, Juris | Puķītis, Mārtiņš
In the article, the possible impact of changes on wetland were analysed by the semi-supervised classification method of statistical analysis. The Sentinel-2 raw data between two different seasons are combined together. The data preparation is shortly described in the article. Data is clustered with unsupervised method. The article describes a supervised method – how data credibility and classification can be estimated if its reference is poor quality.
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Informations bibliographiques
Editeur Rēzeknes Tehnoloģiju akadēmija
ISSN 2256-070XCette notice bibliographique a été fournie par Fundamental Library of Latvia University of Life Sciences and Technologies
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