NOTE: This tool will be updated with a link to the hosted tool and/or source code as soon as it is available. Thank you for your patience during our transition.
This Jupyter Notebook tool provides the code for Approximation of noisy time series data (regular or irregularly sampled) by Locally Penalized Splines (ALPS) framework functions.
References
P. Shekhar, B. Csathó, T. Schenk, C. Roberts and A. K. Patra, “ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 8, pp. 6466-6481, Aug. 2021, doi: 10.1109/TGRS.2020.3027190.