This layer shows woody vegetation change based on the analysis of multi-date SPOT5 and Sentinel2 imagery. This analysis was done for the period 2015 and 2016.

Woody change is detected though a combination of automated and manual interpretation of the differences between images captured during summer of each year. Satellite images are selected as close as possible to the 1st of January each year and must have a clear view of the ground not impacted by smoke or cloud cover. This requirement can result in a range of imagery dates being selected for each SLATS year.

To reflect this, SLATS data naming previously included both years in which imagery was captured, for example 2015-16.

For clarity data is now named using the year in which the majority of the clearing has taken place for example 2015

The woody vegetation change is mapped using the SLATS (Statewide Land and Tree Survey) method which applies an automated change analysis process followed by visual interpretation of the results by experienced image interpretation staff. Landcover classes reflect the interpreted cause of woody vegetation change.

The woody change data is also used for vegetation compliance analysis.

Change statistics are available.

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.