Advancing Built-Up Area Monitoring Through Multi-Temporal Satellite Data Fusion and Machine Learning-Based Geospatial Analysis

Monitoring built-up dynamics is essential for sustainable urban and territorial planning. This study presents an innovative geospatial methodology integrating multi-temporal satellite data fusion, transfer learning, machine learning classification, and open-access cloud computing to systematically i...

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Detalhes bibliográficos

Principais autores:	Alessandro Vitale, Francesco Lamonaca
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Remote Sensing
Assuntos:	built-up dynamics monitoring geospatial data fusion remote sensing machine learning transfer learning multispectral satellite imagery
Acesso em linha:	https://www.mdpi.com/2072-4292/17/11/1830
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