Stabilizing high‐order, non‐classical harmonic analysis of NDVI data for average annual models by damping model roughness

57 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Harmonic regression of Landsat time series for modeling attributes from national forest inventory data (2018, methodology): “Hermance (2007) and Bradley et al. (2007) suggested enhancements to the original harmonic regression methods intended to address the issue of higher-order harmonics generating spurious oscillations identified in the two aforementioned studies.”
Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs (2013, background): “Additionally, application of Fourier transforms often reveals spurious oscillations [118].”
An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data (2016, background): “The harmonic series number was minimized to avoid the overfitting or spurious oscillations, a commonproblem when high order Fourier series is used (Hermance, 2007).”