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Data

NSW Forest Monitoring and Improvement Program State-wide Historic Forest Canopy Cover Extent - 1995 to 2020 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 73 times
Accessed 13 times
Dataset Created: 1995-01-01
Dataset Published: 2024-01-03
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPForest Canopy Cover Extent Data 1995-2020HTTPro-crate-metadata.json
How to cite this collection:
Natural Resources Commission, N. (2024). NSW Forest Monitoring and Improvement Program State-wide Historic Forest Canopy Cover Extent - 1995 to 2020. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/jmv3-2k84 
The spatial layers in this dataset detail forest cover extent over NSW. They have been created for the NSW Natural Resources Commission to detail historic baseline and trends of forest cover extent coverage for NSW for all land tenures, including all RFAs and IFOAs.
These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2021). These base grids are Landsat in origin and have a resolution of 25m.
These base grids have been processed through a series of land use and vegetation type exclusion masking and a through a fuzzy-logic based certainty analysis to reflect a forest cover extent coverage for NSW that is reflective of past and current coverage.
These grids cover the years from 1995 to 2020. The year gaps are triennial or biennial data layers from 1995 to 2004. 1996,1997,1999,2001,2003 years missing as these were not assessed in original applied database. From 2004 to 2020 data layers become annualised.
Read more about the project on the Natural Resources Commission website:
https://www.nrc.nsw.gov.au/accordion-content-main/fmip-ecosystemhealth-projectfe1
This dataset supersedes "NSW Forest Monitoring and Improvement Program RFA Historic Forest Cover Extent – 1995 to 2019". https://portal.tern.org.au/metadata/TERN/fef2d61b-7c5e-42be-88c1-849a3fc6a70a. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. The dataset is owned by NSW Natural Resources Commission. Spatial Vision established the method and initial application of creation of historic baselines. 
Purpose
To establish a historic baseline and trends for forest cover extent across all land tenures in NSW. 
Lineage
For methodology information, see the report attached under 'Data access' 
Method DocumentationData not provided.
Procedure StepsData not provided.
NSW
Temporal Coverage
From 1995-01-01 to 2020-01-01 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Forest ecosystems
Forest health and pathology
Photogrammetry and remote sensing
Spatial data and applications
GCMD Sciences
AGRICULTURE - FOREST MANAGEMENT
BIOSPHERE - FORESTS
Horizontal Resolution
1 meter - < 30 meters
Parameters
forest extent
Temporal Resolution
Annual
Topic
environment
geoscientificInformation
User Defined
Forest Condition
Forest Cover
Forest Extent
Author
Natural Resources Commission, New South Wales Government
Contact Point
Bell, Jeffrey
Natural Resources Commission, New South Wales Government
Publisher
Terrestrial Ecosystem Research Network
Supplemental Information
Data not provided. 
Resource Specific Usage
Data not provided. 
Environment Description
This dataset contains spatial layers in raster format (geotiff). 
By Parent record
NSW Forest Monitoring and Improvement Program RFA Historic Forest Canopy Cover Extent - 1995 to 2019
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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