Efficient Probabilistic Framework Accelerates Satellite Trace Gas Retrieval and Uncertainty Quantification

Efficient Probabilistic Framework Accelerates Satellite Trace Gas Retrieval and Uncertainty Quantification

To address the computational bottleneck in analyzing massive Earth observation datasets, researchers from Shanghai Jiao Tong University have developed a lightweight machine learning framework that enables satellites to quantify uncertainty […]

Source: https://news.satnews.com/2026/01/26/efficient-probabilistic-framework-accelerates-satellite-trace-gas-retrieval-and-uncertainty-quantification/