The Statewide Landcover And Trees Study (SLATS) is a scientific monitoring program which monitors, maps and reports on woody vegetation change in Queensland. Since the 1990's and up to the 2017-18 reporting period, SLATS has been monitoring woody vegetation loss due to land clearing, applying a methodology which used Landsat satellite imagery. From 2018 onwards, woody vegetation change is mapped using Sentinel-2 imagery. The vegetation change has been attributed to change classes representing human induced woody clearing or regrowth.

The Statewide Landcover and Trees Study (SLATS) monitors woody vegetation extent and changes in Queensland using Sentinel-2 satellite imagery as its primary tool. This dataset provides annual summaries of woody vegetation clearing and regrowth from the 2018–19 reporting period onward, aligning with an updated Sentinel-2-based methodology introduced in 2018. The data is presented as annual time series summaries, with each year’s data corresponding to a nominal August-to-August reporting period. Summary statistics are provided at the state-wide scale, as well as for administrative boundaries, natural resource management regions and divisions, and other authoritative datasets. This multi-year dataset includes data from the 2018–19 onwards SLATS reporting periods. It supersedes and is not directly comparable with SLATS data published for reporting periods up to and including 2017–18, due to a methodological change. Note that regrowth was not reported in 2018–19; values for regrowth in that year are represented as zero in the dataset.

The aim of this project is to compile land use and management practices and their observed and measured impacts and effects on vegetation condition. The results provide land managers and researchers with a tool for reporting and monitoring spatial and temporal transformations of Australia’s native vegetated landscapes due to changes in land use and management practices. Following are the details about the Cumberland State Forest, compartments 8b, 9a and 9b, NSW, Australia. Pre-European reference-analogue vegetation: the site was originally a wet sclerophyll forest found on Wianamatta group Ashfield Shale. Brief chronology of changes in land use and management: 1788: Area managed by indigenous Darug people 1788-1824: Region explored - un-modified native forest blue gum/ironbark on shale 1825: Parcel selected by shepherd 1826-1907: Grazing cattle on native pastures 1860: Tree cover likely to have been thinned - selective logging 1908: Commenced clearing patches of trees for improved pasture, chooks, orchards 1909-1937: Managed as improved pasture for grazing 1937-38: Purchased by NSW Forestry Commission 1941-42: Area cleared of remaining native forest trees 1946-73: Area managed for education and demonstration - regenerating native forest 1974-84: Area increasing managed for recreation - regenerating native forest 1985-2012: Area managed for recreation - regenerating native forest.

The aim of this project is to compile land use and management practices and their observed and measured impacts and effects on vegetation condition. The results provide land managers and researchers with a tool for reporting and monitoring spatial and temporal transformations of Australia’s native vegetated landscapes due to changes in land use and management practices. Following are the details about the Cumberland State Forest, Old Abandoned Arboretum site, NSW, Australia. Pre-European reference-analogue vegetation: The Cumberland State Forest is part of the Blue Gum High Forest (Daniel Connolly pers comm). It is a tall wet sclerophyll forest found on Wianamatta group Ashfield Shale. Blue Gum High Forest is dominated by Sydney blue gum (Eucalyptus saligna), blackbutt (E. pilularis), and turpentine (Syncarpia glomulifera) with a number of other eucalypts occurring patchily. A sparse open cover of small trees includes a variety of sclerophyllous and mesophyllous species. The ground layer is variable in composition and cover; including ferny, grassy or herbaceous and/or vines and climbers. The characteristics of the ground cover are related to the topgraphic position. Brief chronology of changes in land use and management: 1788- Area managed by indigenous Darug people 1788-1824: Region explored, un-modified native forest blue gum/ironbark on shale 1825: Parcel selected by Mr Shepherd 1860: Tree cover likely to have been thinned - selective logging for fences and housing 1826-1907: Grazing stock on native pastures 1908: Land parcel cleared and sown to improved pasture, and evidence of chicken farm and fruit orchards 1909-1937: Managed as improved pasture and grazing 1937-38: Purchased by NSW Forestry Commission 1941-42: Remaining native forest trees cleared to establish an arboretum 1943-45: Arboretum planted as a future urban working forest 1946-73: Arboretum managed for education and demonstration - infilling regrowth native forest observed 1974-84: Arboretum increasing managed for recreation - infilling regrowth native forest observed 1985-2012: Area managed for recreation (ex-arboretum and regrowth native forest).

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.

Vegetation change products are produced annually identifying locations where the perennial woody vegetation from the vegetation cover datasets based on Landsat imagery (30m ground pixel) has changed between the forest, sparse woody and non woody classifications. Change classes include; no change, non-woody to sparse, non-woody to forest, sparse to non-woody, forest to non-woody and forest to sparse. Click here for more information.

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.

Vegetation change products are produced annually identifying locations where the perennial woody vegetation from the vegetation cover datasets based on Landsat imagery (30m ground pixel) has changed between the forest, sparse woody and non woody classifications. Change classes include; no change, non-woody to sparse, non-woody to forest, sparse to non-woody, forest to non-woody and forest to sparse. Click here for more information.