| Field | Value |
|---|---|
Title |
NSW eastern forest soil condition: Spatio-temporal data cube maps |
Alternative title(s) |
Determining baselines, drivers and trends of soil health and stability in NSW forests – Regional Forest Agreement regions: Spatio-temporal data cube maps |
Abstract |
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. Full description of the digital soil maps and methods are presented in: Moyce 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. The 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, |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for NSW eastern forest soil condition: Spatio-temporal data cube maps Function: download |
Eastern forest data cube maps dataset |
Name: Eastern forest data cube maps dataset Protocol: WWW:DOWNLOAD-1.0-http--download Description: Visit Cloudstor to download the Tif maps Function: download |
Spatio-temporal data cube code/scripts |
Name: Spatio-temporal data cube code/scripts Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download the zipped package of dataset's codes/scripts Function: download |
NSW eastern forest soil condition report v1.1 |
Name: NSW eastern forest soil condition report v1.1 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download the technical report: Determining baselines, drivers and trends of soil health and stability in NSW forests – RFA regions. Function: download |
Unique resource identifier |
|
Code |
8e9b2899-8a58-4d6e-9487-48f83b4b7b7e |
Presentation form |
Map digital |
Edition |
version 1 |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/8e9b2899-8a58-4d6e-9487-48f83b4b7b7e |
Purpose |
For monitoring and managing soil condition in eastern NSW forests into the future |
Status |
Completed |
Spatial representation type |
grid |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
300 m |
Additional information source |
For technical information or support on the Data Cube and predicted OC maps, please contact: Thomas Bishop University of Sydney thomas.bishop@sydney.edu.au |
| Field | Value |
|---|---|
Topic category |
| Field | Value |
|---|---|
Keyword set |
|
keyword value |
SOIL FORESTS CLIMATE-AND-WEATHER-Climate-change LAND-Use SOIL-Chemistry |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
148 |
East bounding longitude |
154 |
North bounding latitude |
-37.7 |
South bounding latitude |
-28 |
NSW Place Name |
Regional Forest Agreement Regions of eastern NSW |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
2001-01-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
As needed |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Natural Resources Commission |
Telephone number |
131555 |
Facsimile number |
02 9995 5999 |
Email address |
|
Web address |
https://www.nrc.nsw.gov.au/ |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Lineage |
Soil data comprised approximately 1800 profile points derived from SALIS, comprising data mainly from NSW soil survey program and 2008 -09 Monitoring Evaluation and Reporting (MER) program. Modelling established relationships of soil indicators with 10 environmental variables selected by a recursive feature elimination algorithm (RFE). All time-varying covariates (NDVI and climate variables) were aggregated to monthly values. Since the effect of these covariates on soil health dynamics depends on current and past conditions, a decay function weighting algorithm was applied to aggregate sixty months (5 years) of the covariate timeseries prior to when the soil profile was sampled. The algorithm attaches more weight to the most recent observations. Digital soil mapping used quantile random forest modelling techniques in R statistical program framework. Resolution of products were 300m. Calibration involved the tuning of the number of predictors sampled for splitting at each node (mtry) of the RF model using a 10-fold cross-validation approach. Validation of maps was achieved using a 20% validation dataset initially separated from the 80% training dataset. Methods are described fully in the accompanying Technical Report (Moyce et al. 2021). |
| Field | Value |
|---|---|
Limitations on public access |
|
| Field | Value |
|---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2021-06-30 |
Explanation |
Covers area within Regional Forest Agreement regions that has woody vegetation as mapped in NSW 2008 woody vegetation layer. |
DQ Completeness Omission |
|
Effective date |
2021-06-30 |
Explanation |
Did not include areas with non woody vegetation and those outside of NSW RFA regions. |
DQ Conceptual Consistency |
|
Effective date |
2021-06-30 |
Explanation |
Imperfect coverage of all environmental regimes in study area, ie, insufficient soil data in some areas of covariate space which has a spatial and temporal dimension. Potential limitations due to assumption that changes in NDVI through time and space represent different management regimes and impact of bushfire on soil carbon. |
DQ Topological Consistency |
|
Effective date |
2021-06-30 |
DQ Absolute External Positional Accuracy |
|
Effective date |
2021-06-30 |
Explanation |
The models had a Lin’s concordance correlation coefficient of 0.38 when independently validated at the point support. It is expected that the quality of predictions is slightly better at the 300 m spatial support used for predictions. Due to the small number of samples used for modelling since 2010 predictions for this period were not validated and should be treated with caution. |
DQ Non Quantitative Attribute Correctness |
|
Effective date |
2021-06-30 |
Explanation |
The authors have confidence in the broad spatial (300m + spatial resolution) and temporal (annual change) trends in the predictions for the period before 2010 when more observations were available. |
| Field | Value |
|---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Natural Resources Commission |
Telephone number |
131555 |
Facsimile number |
02 9995 5999 |
Email address |
|
Web address |
https://www.nrc.nsw.gov.au/ |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Natural Resources Commission |
Telephone number |
131555 |
Facsimile number |
02 9995 5999 |
Email address |
|
Web address |
https://www.nrc.nsw.gov.au/ |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T13:02:59.731745 |
Metadata language |
|