Historical Land Cover Dynamics and Projected Changes in the High Andean Zone of the Locumba Basin: A Predictive Approach Using Remote Sensing and Artificial Neural Network—Cellular Automata Model

Historical Land Cover Dynamics and Projected Changes in the High Andean Zone of the Locumba Basin: A Predictive Approach Using Remote Sensing and Artificial Neural Network—Cellular Automata Model

The conservation and monitoring of land cover represent crucial elements for sustainable regional development, especially in fragile high Andean ecosystems. This study evaluates the spatiotemporal changes in land use and land cover (LULC) in the Locumba basin over the period of 1984–2023. A hybrid m...

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Bibliographic Details
Main Authors: German Huayna, Victor Pocco, Edwin Pino-Vargas, Pablo Franco-León, Jorge Espinoza-Molina, Fredy Cabrera-Olivera, Bertha Vera-Barrios, Karina Acosta-Caipa, Lía Ramos-Fernández, Eusebio Ingol-Blanco
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Land
Subjects:
land cover
cellular automata
artificial neural network
spatiotemporal analysis
ecosystem conservation
Online Access:https://www.mdpi.com/2073-445X/14/7/1442
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