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Explore a new approach to high-resolution flux estimation using TurbulenceFlux.jl in this JuliaCon 2024 conference talk. Delve into the challenges of flux estimation from eddy-covariance flux tower measurements, including the limitations of standard methods in non-stationary environments. Learn about the advantages of time-scale analyses, particularly wavelet analysis, for studying non-stationary and scale-invariant processes like turbulence. Discover how TurbulenceFlux.jl implements a general framework for analyzing fluxes in time-scale space and introduces a novel method for identifying and extracting turbulent transport. Gain insights into the benefits of using Julia for this implementation, including matching the speed of Fortran-based standard approaches and enabling code differentiability. Consider potential future applications, such as studying flux ecosystem response times and conducting sensitivity analyses against wavelet and averaging window parameters.