DIGITAL SOIL TEXTURE MAPPING AND SPATIAL TRANSFERABILITY OF MACHINE LEARNING MODELS USING SENTINEL-1, SENTINEL-2, AND TERRAIN-DERIVED COVARIATES

Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates

Soil texture is an important property that controls the read more mobility of the water and nutrients in soil.This study examined the capability of machine learning (ML) models in estimating soil texture fractions using different combinations of remotely sensed data from Sentinel-1 (S1), Sentinel-2 (S2), and terrain-derived covariates (TDC) across

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Can Primary School Mathematics Performance Be Predicted by Longitudinal Changes in Physical Fitness and Activity Indicators?

ObjectiveTo determine to what extent physical fitness indicators and/or moderate to vigorous physical activity (MVPA) may account for final mathematics academic performance (APmath) awarded at the end of primary school.MethodsSchool-aged youth were sampled in a repeated-measures, longitudinal design in Grade 6 (∼11 years), and again in Grade 9 (â

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