WETLAND CHANGE DETECTION USING SENTINEL-2 IN THE PART OF LATVIA

Autor: Skromulis, Andris, Breidaks, Juris, Puķītis, Mārtiņš
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference; Vol 1 (2023): Environment. Technology. Resources. Proceedings of the 14th International Scientific and Practical Conference. Volume 1; 209-213
ISSN: 1691-5402
2256-070X
Popis: 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.
Databáze: OpenAIRE