SLATS NSW Woody Vegetation clearing - 1988-2010 - LANDSAT

Brief description

This dataset was derived from the primary "SLATS Landsat woody clearing data (25m) for 1988 - 2010" raster (grid) layers used to generate the annualised woody vegetation clearing rates for the [2010 NSW Annual Report of Native Vegetation](http://www.environment.nsw.gov.au/vegetation/reports.htm).

This data describes the areas and type of woody vegetation clearing based on the analysis of multi-date Landsat imagery covering NSW. This data is based on a biennial LANDSAT coverage between 1988-2006 and annual coverage 2006-2010. LANDSAT Imagery 1988-2008 was processed by Geosciences Australia at 25m resolution. 2008 onwards is based on USGS processed LANDSAT at 30m resolution.

Note, this vector data may generate slightly different areal statistics to those generated from the source raster data. This is due to variation caused by the data transformation and vector cleaning processes applied in generating the vector data.






**Links to reports, factsheets and other information below:**

The NSW Vegetation clearing report is now available as a dashboard, with key points on our website:

[SLATS Dashboard](https://www.seed.nsw.gov.au/slats-dashboard)

[2023 NSW Vegetation clearing report](https://www.environment.nsw.gov.au/topics/animals-and-plants/native-vegetation/landcover-science/2023-nsw-vegetation-clearing-report-native-vegetation)

[Landcover monitoring and reporting](https://www.environment.nsw.gov.au/topics/animals-and-plants/native-vegetation/landcover-monitoring-and-reporting)

[Previous reports and data](https://www.environment.nsw.gov.au/topics/animals-and-plants/native-vegetation/landcover-science/past-landcover-reporting)

[Woody vegetation clearing: Statewide Landcover and Tree Study method](https://www.environment.nsw.gov.au/topics/animals-and-plants/native-vegetation/landcover-science/statewide-landcover-tree-study)

Remotely sensed imagery is routinely collected by DPE and used to map vegetation clearing. This data is spatially explicit and can be used with other datasets to identify activity on individual lots. Please read the privacy collection notice for more information.