MACHINE LEARNING-BASED FOREST TYPE MAPPING FROM MULTI-TEMPORAL REMOTE SENSING DATA: PERFORMANCE AND COMPARATIVE ANALYSIS

Machine Learning-Based Forest Type Mapping from Multi-Temporal Remote Sensing Data: Performance and Comparative Analysis

This paper presents a meticulous exploration of advanced machine learning techniques for precise forest type classification using multi-temporal remote sensing data within a woodland environment.The study comprehensively Radius evaluates a diverse range of models, ranging from advanced (ensemble) machine learning (ML) methods to several finely tune

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Fragility Curves of Storage Tanks Impacted by Strong Winds

Industrial infrastructures may be subjected to severe damage by strong winds, storms, tornadoes, and hurricanes.For instance, Conditioner the two hurricanes Katrina and Rita in 2005, in the Gulf of Mexico (United States) resulted in multiple damages to approximately 611 industrial equipment such as offshore platforms, oil pipelines, and storage tan

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