A regression formulation of the Langevin equation enables resilience estimation for non-stationary time series data with robustness to gaps and irregular sampling.
and Sulla-Menashe, D.: MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V061
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A fused remote-sensing dataset at 5-day resolution tracks global land cover and sea ice from 2018-2025, revealing seasonal patterns and that forest cover is approaching a 54% lower safety threshold while Arctic September ice occasionally falls below 27.6%.
citing papers explorer
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Estimating the Resilience of Non-Stationary Systems
A regression formulation of the Langevin equation enables resilience estimation for non-stationary time series data with robustness to gaps and irregular sampling.
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Near real-time monitoring of global land-ocean cover dynamics
A fused remote-sensing dataset at 5-day resolution tracks global land cover and sea ice from 2018-2025, revealing seasonal patterns and that forest cover is approaching a 54% lower safety threshold while Arctic September ice occasionally falls below 27.6%.