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UrduA recent study has pinpointed the top-performing solar-induced chlorophyll fluorescence (SIF) products for precise global monitoring of photosynthesis and vegetation dynamics. By thoroughly evaluating eight widely-used SIF datasets, the research team identified Global OCO-2 SIF (GOSIF) and Contiguous Solar-Induced Fluorescence (CSIF) as leading tools for estimating gross primary productivity (GPP) and forecasting key phenological stages. These findings provide crucial direction for scientists aiming to enhance global vegetation monitoring and deepen our understanding of Earth’s ecological processes, marking a significant leap in refining tools for tracking the planet’s green pulse.
Tag: datasets
metaphacts and Dimensions launch the Dimensions Knowledge Graph, powered by metaphactory
Digital Science solutions metaphacts and Dimensions announce the launch of the Dimensions Knowledge Graph, a large ready-made knowledge graph powering AI solutions in the pharmaceutical and life sciences industries.
SMU lab creating large synthetic datasets to reduce bias, preserve privacy in AI facial recognition systems
The quality of any artificial intelligence (AI) model relies on the data it is given. That is why researchers at SMU are creating large datasets to address bias and fairness issues found in facial recognition (FR) technology.
Study Identifies Pitfalls, Solutions for Using AI to Predict Opioid Use Disorder
Researchers examined peer-reviewed journal papers and conducted the first systematic review analyzing not only the technical aspects of machine learning applied to predicting opioid use, but also the published results.