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

Journal
ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference
Date Issued
2023
Author(s)
Andris Skromulis
Juris Breidaks
Mārtiņš Puķītis
DOI
10.17770/etr2023vol1.7305
Abstract
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.