Integrating satellite technology and machine learning for accurate mangrove species classification in Thailand

Category

Published in:

Abstracts of the ICA
Vol. 9.2025 (14.03.2025), art. no. 28, p. 1-2

Volume:

9.2025

Publication date:

14.03.2025

URN:

urn:nbn:de:0307-20250812-007-9

DOI:

10.5194/ica-abs-9-28-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 650,61 kB) : 1 Tabelle, 1 Textdatei (PDF)

Keywords:

Mangrove^GND; Pleiades Neo; machine learning; ML; Random Forest^GND; RF; Decision Tree; DT; Maschinelles Lernen^GND; Entscheidungsbaum^GND

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-9-28-2025

URL:

https://ica-abs.copernicus.org/articles/9/28/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/9/28/2025/ica-abs-9-28-2025.pdf

Hosting institution:

Burapha University (BUU) [TH]

Hosting institution:

Thammasat University (TU) [TH]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Narong Pleerux, Kritchayan Intarat, Phurith Meeprom, Pornthip Foiwaree, Phannipha Anuruksakornkul

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 9, 2025 - RIMMA2025 - International Conference on Forecasting, Preparedness, Warning, and Response. Visualization, Communication, and Information Management; 28–31 January 2025, University of Bern, Switzerland; Editors: Christophe Lienert, Andreas Paul Zischg, Horst Kremers, Jamie McCaughey, Lara Zinkl, and David N. Bresch | https://ica-abs.copernicus.org/articles/9/index.html