fluxfixer: Advanced Framework for Sap Flow Data Post-Process

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Authors: Yoshiaki Hata
Cited by: 0
References: 2

Abstract

Provides a flexible framework for post-processing thermal dissipation sap flow data using statistical methods and machine learning. This framework includes anomaly correction, outlier removal, gap-filling, trend removal, signal damping correction, and sap flux density calculation. The functions in this package can also apply to other time series with various artifacts.

Fields of Study & Subjects

Plant Water Relations and Carbon Dynamics Environmental Monitoring and Data Management Soil and Unsaturated Flow

Publication details

Publication date
2 February 2026
Document type
Dataset