NSW eastern forest soil condition: Spatio-temporal data cube maps

Brief description

This dataset created by the University of Sydney, includes time series digital soil map products of soil organic carbon (SOC) between January 1990 and December 2020 for the Regional Forest Agreement regions of eastern NSW. Modelling was completed using a data cube platform incorporating machine learning space-time framework and geospatial technologies. Products provide estimates of SOC concentrations and associated trends through time. Also important covariates required to drive this spatio-temporal modelling are identified using the Recursive Feature Elimination algorithm (RFE), which including a range of predictors that vary in space, time and space and time. \r\n\r\nFull description of the digital soil maps and methods are presented in:\r\nMoyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ, 2021. _Determining baselines, drivers and trends of soil health and stability in New South Wales forests: NSW Forest Monitoring & Improvement Program_ , Final report v1.1 for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney. \r\n\r\nThe metadata's _data packages_ section includes project scripts and code, final project report and an external Cloudstor link to download the predicted SOC map products, \r\n

Full description

Data Quality Statement
Eastern forest data cube maps dataset
Spatio-temporal data cube code/scripts
NSW eastern forest soil condition report v1.1