This comprehensive study unveils the vast global potential of microalgae as a sustainable bioenergy source, focusing on the utilization of marginal lands and employing advanced machine learning techniques to predict biomass productivity. By identifyi...
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have their respective advantages in soil carbon content prediction, and the effective fusion of VNIR and HSI is of great significance for improving the prediction ac...
Against the backdrop of global climate change and rapid socioeconomic advancement, significant land use/cover changes(LUCC) in Central Asia have profoundly impacted terrestrial ecosystem carbon storage(CS). However, the assessment and spatiotemporal ...
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