Machine learning reveals when wheat fields leak the most nitrous oxide
A year of continuous eddy covariance measurements and explainable machine learning above a Swiss winter wheat field shows that nitrous ...
A year of continuous eddy covariance measurements and explainable machine learning above a Swiss winter wheat field shows that nitrous ...
A new study modifies a widely used canopy radiation model so that forest stems and branches, long ignored as absorbers ...
A comparison across 38 ICOS stations shows that co-spectral corrections of eddy-covariance fluxes are more robust than spectral ones, especially ...
A two-year Finnish field campaign combining sap-flow sensors, eddy-covariance towers and drone imaging shows that selectively thinned Norway spruce stands ...
A low-cost prototype carbon dioxide sensor developed in Finland matched a scientific eddy covariance system with a flux correlation of ...
A nine-year field and modelling campaign in a drained German fen has produced a fully coupled digital replica of peatland ...
A comparison of ten evapotranspiration partitioning methods across four Canadian moss-covered wetlands finds no consistent winner and exposes deep uncertainty ...
A new LSTM-based dataset called MemoryFlux maps two decades of net ecosystem CO2 exchange across North America with unprecedented fidelity, ...
New research shows that in summertime, volatile chemical products and buildings, rather than vehicles, dominate urban air pollution emissions, a ...
A three-year Stanford-led study in Palau used gradient-flux, eddy-covariance, and photogrammetric methods to quantify coral reef production and calcification, revealing ...
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© 2025 Scienmag - Science Magazine