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

Andris Skromulis; Juris Breidaks; Mārtiņš Puķītis

doi:10.17770/etr2023vol1.7305

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

Andris Skromulis, Juris Breidaks, Mārtiņš Puķītis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original language	English
Title of host publication	Environment. Technology. Resources
Subtitle of host publication	Proceedings of the 14th International Scientific and Practical Conference
Place of Publication	Rēzekne
Pages	209-213
Number of pages	5
Volume	1
Edition	2023
DOIs	https://doi.org/10.17770/etr2023vol1.7305
Publication status	Published - Jun 2023
Externally published	Yes
Event	14th International Scientific and Practical Conference "Environment. Technology. Resources" - Rezekne Academy of Technologies, Rēzekne, Latvia Duration: 15 Jun 2023 → 16 Jun 2023 Conference number: 14 https://conferences.rta.lv/index.php/ETR/ETR2023 https://www.rta.lv/aktualitates/rta-notiek-14-starptautiska-zinatniski-praktiska-konference-vide-tehnologija-resursi-15062023

Publication series

Name	Vide. Tehnologija. Resursi - Environment, Technology, Resources
ISSN (Print)	1691-5402
ISSN (Electronic)	2256-070X

Conference

Conference	14th International Scientific and Practical Conference "Environment. Technology. Resources"
Country/Territory	Latvia
City	Rēzekne
Period	15/06/23 → 16/06/23
Other	XIV Starptautiskā zinātniski praktiskā konference "Vide. Tehnoloģija. Resursi"
Internet address	https://conferences.rta.lv/index.php/ETR/ETR2023 https://www.rta.lv/aktualitates/rta-notiek-14-starptautiska-zinatniski-praktiska-konference-vide-tehnologija-resursi-15062023

Keywords*

Wetlands
raised bogs
Sentinel-2
Semi-supervised
classification
K-means
credibility

Field of Science*

1.5 Earth and related Environmental sciences
1.1 Mathematics

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

Access to Document

10.17770/etr2023vol1.7305Licence: CC BY

Wetland Change Detection Using Sentinel-2Final published version, 665 KBLicence: CC BY

http://journals.rta.lv/index.php/ETR/article/download/7305/5936

Cite this

Skromulis, A., Breidaks, J., & Puķītis, M. (2023). WETLAND CHANGE DETECTION USING SENTINEL-2 IN THE PART OF LATVIA. In Environment. Technology. Resources: Proceedings of the 14th International Scientific and Practical Conference (2023 ed., Vol. 1, pp. 209-213). (Vide. Tehnologija. Resursi - Environment, Technology, Resources).. https://doi.org/10.17770/etr2023vol1.7305

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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.",

keywords = "Wetlands, raised bogs, Sentinel-2, Semi-supervised, classification, K-means, credibility",

author = "Andris Skromulis and Juris Breidaks and Mārtiņ{\v s} Puķītis",

note = "Publisher Copyright: {\textcopyright} 2023 Andris Skromulis, Juris Breidaks, Mārtiņ{\v s} Puķītis. Published by Rezekne Academy of Technologies.; 14th International Scientific and Practical Conference {"}Environment. Technology. Resources{"} ; Conference date: 15-06-2023 Through 16-06-2023",

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month = jun,

doi = "10.17770/etr2023vol1.7305",

language = "English",

volume = "1",

series = "Vide. Tehnologija. Resursi - Environment, Technology, Resources",

pages = "209--213",

booktitle = "Environment. Technology. Resources",

edition = "2023",

url = "https://conferences.rta.lv/index.php/ETR/ETR2023, https://www.rta.lv/aktualitates/rta-notiek-14-starptautiska-zinatniski-praktiska-konference-vide-tehnologija-resursi-15062023",

}

Skromulis, A, Breidaks, J & Puķītis, M 2023, WETLAND CHANGE DETECTION USING SENTINEL-2 IN THE PART OF LATVIA. in Environment. Technology. Resources: Proceedings of the 14th International Scientific and Practical Conference. 2023 edn, vol. 1, Vide. Tehnologija. Resursi - Environment, Technology, Resources, Rēzekne, pp. 209-213, 14th International Scientific and Practical Conference "Environment. Technology. Resources", Rēzekne, Latvia, 15/06/23. https://doi.org/10.17770/etr2023vol1.7305

WETLAND CHANGE DETECTION USING SENTINEL-2 IN THE PART OF LATVIA. / Skromulis, Andris; Breidaks, Juris; Puķītis, Mārtiņš.
Environment. Technology. Resources: Proceedings of the 14th International Scientific and Practical Conference. Vol. 1 2023. ed. Rēzekne, 2023. p. 209-213 (Vide. Tehnologija. Resursi - Environment, Technology, Resources).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Puķītis, Mārtiņš

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N2 - 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.

AB - 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.

KW - Wetlands

KW - raised bogs

KW - Sentinel-2

KW - Semi-supervised

KW - classification

KW - K-means

KW - credibility

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

Abstract

Publication series

Conference

Keywords*

Field of Science*

Publication Type*

Access to Document

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