NSW eastern forest soil condition: Spatio-temporal data cube maps
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https://researchdata.edu.au/nsw-eastern-forest-cube-maps/3846496
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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_](https://datasets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report), 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
本数据集由悉尼大学(University of Sydney)制作,涵盖新南威尔士州(New South Wales, NSW)东部区域森林协议区域内1990年1月至2020年12月期间的土壤有机碳(Soil Organic Carbon, SOC)时间序列数字土壤制图产品。建模工作依托融合了机器学习时空框架与地理空间技术的数据立方体平台完成。该产品可提供SOC浓度及其随时间变化趋势的估算结果。本研究通过递归特征消除算法(Recursive Feature Elimination, RFE)筛选出驱动该时空建模所需的关键协变量,这些协变量包含一系列随空间、时间及时空维度变化的预测因子。
该数字土壤制图产品及相关方法的完整说明详见下述文献:
Moyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ. 2021. 《确定新南威尔士州森林土壤健康与稳定性的基线、驱动因子及变化趋势:新南威尔士州森林监测与改善计划》,由新南威尔士州规划、产业与环境部及悉尼大学提交给新南威尔士州自然资源委员会的最终报告v1.1,链接:https://datasets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report。
元数据的“数据包(data packages)”板块包含项目脚本与代码、最终项目报告,以及用于下载预测SOC制图产品的外部Cloudstor链接。
提供机构:
data.nsw.gov.au



