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Imagery-Satellite-SPOT 2023
The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by Geoimage Pty Ltd for NSW Government. The images were captured September 2022 through to... -
Imagery-Satellite-SPOT 2020
The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by DCS Spatial for NSW Government. The images were captured January 2020 through to April... -
NSW Vegetation Integrity Modelling - v2 (Eastern NSW)
Located within this asset are the outputs of NSW Vegetation Integrity Modelling version 2 (December 2024). This is currently the most up-to-date version of the modelling. To... -
Imagery-Satellite-SPOT 2015/2016
The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by the Remote Sensing and Regulatory Mapping NSW Government. The images were captured January... -
Imagery-Satellite-SPOT 2010-2015
The NSW SPOT 5 imagery product is a state-wide satellite imagery product provided by the Remote Sensing and Regulatory Mapping team of NSW Government. Capture dates for imagery... -
Imagery-Satellite-SPOT 2005-2007
The NSW SPOT 5 imagery product is known as the Planning and Natural Resource Information Intergration Environment Project (PANRIIE) and is a state-wide satellite imagery product... -
Imagery-Satellite-SPOT 2008-2009
The NSW SPOT 5 imagery product is a state-wide satellite imagery product provided by the Remote Sensing and Regulatory Mapping team of NSW Government. Capture dates for imagery... -
Imagery-Satellite-SPOT 2022
The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by Geoimage Pty Ltd for NSW Government. The images were captured September 2021 through to... -
NSW Vegetation Integrity
This is the landing page for NSW Vegetation Integrity modelling. Linked to this page are assets for each of the versions of modelling for the state. The current most up-to-date... -
Imagery-Satellite-SPOT 2019
The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by DCS Spatial for NSW Government. The images were captured June 2019 through to August 2019.... -
Forest Productivity Index (Version 1.0 -Sept 2024 Release)
Australian Government Department of Climate Change, Energy, the Environment and Water
The Full Carbon Accounting Model (FullCAM) was developed to estimate greenhouse gas emissions and removals from the land sector, for inclusion in Australia’s National Greenhouse... -
National Forest and Sparse Woody Vegetation Data (Version 7.0 - 2022 Release)
Australian Government Department of Climate Change, Energy, the Environment and Water
Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from... -
Ground cover monitoring for Australia - data update on the Monitor website...
Australian Bureau of Agricultural and Resource Economics and Sciences
Ground cover monitoring for Australia data was updated on the MONITOR website October 2014 (http://www.agriculture.gov.au/abares/monitor/Pages/default.aspx). The Department of... -
Australian ground cover reference sites database package 2014
Australian Bureau of Agricultural and Resource Economics and Sciences
The ground cover reference sites database contains the data collected from the national network of ground cover reference sites. This data includes site descriptions and the... -
National Forest and Sparse Woody Vegetation Data (Version 6.0 - 2021 Release)
Australian Government Department of Climate Change, Energy, the Environment and Water
Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from... -
National Forest and Sparse Woody Vegetation Data (Version 4, 2019 Release)
Australian Government Department of Climate Change, Energy, the Environment and Water
Landsat satellite imagery is used to derive woody vegetation extent products that discriminate between forest, sparse woody and non-woody land cover across a time series from...
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