Reduced dimensionality space of features using spectral indices for detecting changes in multitemporal Landsat-8 images

Reduced dimensionality space of features using spectral indices for detecting changes in multitemporal Landsat-8 images

In this study, spatio-temporal changes in water covers are calculated for Lake Urmia (Iran) from 2013 to 2023 using multi-temporal Landsat-8 OLI (Operational Land Imager) and TIRS (Thermal InfraRed Sensor) multispectral images. The challenge was working in a reduced dimensionality space of character...

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Bibliographic Details
Main Authors: Elvira Martínez de Icaya-Gómez, Estíbaliz Martínez-Izquierdo, Montserrat Hernández-Viñas, Jose E. Naranjo-Hernández
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Ecological Informatics
Subjects:
Reduced dimensionality
Spectral indices
Random forest
K-means
Landsat-8 images
Change detection
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125000998
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http://www.sciencedirect.com/science/article/pii/S1574954125000998

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