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 evaluates a diverse range of models, ranging from advanced (ensemble) machine learning (ML) methods to several finely tuned suppo

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Practical and ethical complexities of MAiD: Examples from Quebec [version 2; peer review: 2 approved, 1 approved with reservations]

Background: Legally practiced assisted dying is an ethically complex area in need of empirical and conceptual work.International research suggests that providing assisted dying may be experienced as rewarding and meaningful but also emotionally and psychologically taxing, associated with feelings of loss and loneliness.Yet little research has been

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