Date ( Creation )

2020-12-14T00:00:00

Date ( Publication )

2021-02-19T00:00:00

Date ( Revision )

2021-01-14T00:00:00

Edition

1.0.0 

Purpose

As part of the Exploring for the Future program, the new barest earth Landsat mosaic of the Australian continent using time-series analysis significantly reduces the influence of vegetation and enhances mapping of soil and exposed rock from space (see Publications: Roberts et al 2019). 

Credit

This work is part of the Exploring for the Future program and was completed by Geoscience Australia and Australian National University supported by TERN Landscapes https://www.tern.org.au/tern-observatory/tern-landscapes/ 

Status

Completed  

Topic category

• Imagery base maps earth cover
• Geoscientific information

Time period

2018-06-302018-06-30 

Maintenance and update frequency

Unknown  

• iron oxide index (RED/BLUE) ,
• Unitless ,
• TM ,
• ,
• LANDSAT-5

• iron oxide index (SWIR2/GREEN) ,
• Unitless ,
• ETM+ ,
• ,
• LANDSAT-7

• iron oxide index (SWIR2/NIR) ,
• Unitless ,
• OLI ,
• ,
• LANDSAT-8

• iron oxide and bedrock index (SWIR1/BLUE) ,
• Unitless ,

• carbonate/quartz index (BLUE/SWIR2) ,
• Unitless ,

• ferric iron (Fe3+) index (PC2 of RED and BLUE) ,
• Unitless ,

• ferruginous/non-ferruginous regolith index (NIR/GREEN) ,
• Unitless ,

• ferric iron (Fe3+) index (PC4 of BLUE, RED, NIR and SWIR1) ,
• Unitless ,

• ferrous minerals index (SWIR1/NIR) ,
• Unitless ,

• hydroxyl minerals index (SWIR1/SWIR2) ,
• Unitless ,

• hydroxyl minerals index (PC2 of SWIR1, SWIR2) ,
• Unitless ,

• hydroxyl minerals index (PC3 of BLUE, NIR, SWIR1, SWIR2) ,
• Unitless ,

• hydroxyl minerals index (PC4 of BLUE, NIR, SWIR1, SWIR2) ,
• Unitless ,

• hydroxyl minerals index (PC1 of SWIR1/SWIR2 and NIR/RED) ,
• Unitless ,

• hydroxyl minerals index (PC2 of SWIR1/SWIR2 and NIR/RED) ,
• Unitless ,

• bedrock index (RED/GREEN) ,
• Unitless ,

• bedrock index (SWIR2/RED) ,
• Unitless ,

• at-surface reflectance ,
• Unitless ,

GCMD Earth Science and Earth Science Services Keywords

• ROCKS/MINERALS/CRYSTALS ,
• ELEMENTS ,
• SOILS

Temporal Resolution

• Weekly - < Monthly

ANZSRC Fields of Research

• Soil Chemistry (excl. Carbon Sequestration Science) ,
• Earth Sciences not elsewhere classified ,
• Inorganic Geochemistry

• regolith

Title

Creative Commons Attribution 4.0 International Licence 

Alternate title

CC-BY 

Edition

4.0 

Website

Access constraints

License  

Use constraints

Other restrictions  

Other constraints

The enhanced products are based on standard processing techniques for enhancing surface mineralogy. However relationships my vary across different regions and it is recommended that the user takes this into account when interpreting the data and assesses against local geology and landforms. 

Other constraints

TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. 

Title

Australian Government Security Classification System 

Edition date

2018-11-01T00:00:00  

Website

Classification

Unclassified  

Handling description

OFFICIAL (Australian Government Security Classification System) 

Language

English  

Character encoding

UTF8  

Supplemental Information

Tile locations are provided as .png file within the zip. See ReadMe.txt for details. 

Distribution format

• 7z, GEOTIFF

OnLine resource

Covariates files on https://drop.ternlandscapes.org.au

OnLine resource

Wilford, J. and Roberts, D., (2020) Enhanced barest earth Landsat imagery for soil and lithological modelling. In: Czarnota, K.(et al) (eds.) Exploring for the Future: Extended Abstracts, Geoscience Australia, Canberra, 1–4.

OnLine resource

Roberts, D., Wilford, J. & Ghattas, O. (2019) Exposed soil and mineral map of the Australian continent revealing the land at its barest. doi:10.1038/s41467-019-13276-1

OnLine resource

Enhanced Barest Earth Landsat Imagery for Soil and Lithological Modelling (documentation on AusSoilsDSM website)

OnLine resource

Roberts, D., Wilford, J., Ghattas, O. (2018). Revealing the Australian Continent at its Barest.

OnLine resource

Roberts, D., Mueller, N., Mcintyre, A. (2017). High-dimensional pixel composites from earth observation time series. IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6254-6264

OnLine resource

TERN Digital Soil Modelling Covariates Viewer

Hierarchy level

Dataset  

Standalone quality report details

1. The bare earth algorithm uses a weight geo-median approach to reduce noise and generate a robust estimate of the spectral response of the barest state (i.e. least vegetated) across the whole continent. The geo-median approach also tends to remove variations in soil moisture. A mask is used within the barest earth workflow to remove cloud (see Roberts et. al 2019). 2. Predictions were made for chromium and sodium for a region in Western Australia, comparing machine learning results for barest earth and non-barest earth datasets to reference geochemical survey data. 

Statement

1. The bare earth bands were assessed over a local calibration site near Canberra and were compared with a soil spectral datasets. All bands showed a reduction in the influence of green vegetation spectral responses (see Roberts et. al 2019). 2. R-squared results using the random forest algorithm were 0.3 (non–barest earth) and 0.44 (barest earth) for sodium, and 0.36 (non–barest earth) and 0.46 (barest earth) for chromium, representing a ~46% and ~28% improvement in model performance for sodium and chromium, respectively. 

mdb:MD_Metadata

Metadata identifier

urn:uuid / d39e4f2c-f771-4aef-99f8-1e624f416955

Resource scope

Dataset  

Metadata linkage

Point-of-truth metadata URL

Date info ( Creation )

2008-11-12T00:00:00

Date info ( Revision )

2021-02-19T07:31:24

Title

ISO 19115.1:2015 Geographic information - Metadata - Fundamentals 

Edition

1.0 

Title

ISO 19115-3:2016 

Edition

1.0