LEAF AREA INDEX ESTIMATION ALGORITHM FOR GF-5 HYPERSPECTRAL DATA BASED ON DIFFERENT FEATURE SELECTION AND MACHINE LEARNING METHODS

Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy utilization and vegetation canopy structure.As the only in-operation hyperspectral satellite launched by China, GF-5 is potentially useful for accurate LAI estimation.However, there is no research focus on evaluating GF-5 data for LAI estimation.Hyperspectra

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Metabolic follow-up at one year and beyond of women with gestational diabetes treated with insulin and/or oral hypoglycaemic agents: study protocol for the identification of a core outcomes set using a Delphi survey

Abstract Background Gestational diabetes (GDM) is associated with an increased lifetime risk for the development of glucose abnormalities, metabolic syndrome, cardiovascular disease, depression and tumours.Despite this high risk of additional comorbidities, there is no standardised approach to the long-term follow-up of women with a previous diagno

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