Landsat foliage projective cover (FPC) time series summary products are the result of statistical analysis of a time series stack of individual date FPC images. The products available are based on analysis of the 1988-2008 period and include variables such as slope, intercept, standard deviation and standard error, as images. These products are created as an interim stage in the development of the woody extent and FPC product.

The cht stage raster shows the extent of woody vegetation at 2008 and also shows the percentage Foliage Projective Cover (FPC) for the woody areas. It is based on a time series of Landsat FPC images from 1988-2008 and uses time series statistics in decision tree approach to identify woody areas and asign an FPC value to them. A companion chu stage raster indicates the rules applied for assigning the FPC ot non-woody codes in the cht raster. The cht raster has been used to generate statistics relating to the woody vegetation cover in NSW. This product is useful for vegetation mapping, modelling and carbon accounting applications.; ; This FPC data can also be interpreted as woody basal area and biomass using look-up tables based on allometric equations using image mosaic files covering NSW or MGA Zones.

Landsat foliage projective cover (FPC) time series summary products are the result of statistical analysis of a time series stack of indicidual date FPC images. The products available are based on …Show full descriptionLandsat foliage projective cover (FPC) time series summary products are the result of statistical analysis of a time series stack of indicidual date FPC images. The products available are based on analysis of the 1988-2008 period and include variables such as slope, intercept, standard deviation and standard error, as images. These products are created as an interim stage in the development of the woody extent and FPC product.

The NSW Woody Vegetation Extent & FPC 2011 is a state-wide classification of woody vegetation and Foliage Projection Cover (FPC) derived from multitemporal 5m SPOT-5 satellite imagery. The product …Show full descriptionThe NSW Woody Vegetation Extent & FPC 2011 is a state-wide classification of woody vegetation and Foliage Projection Cover (FPC) derived from multitemporal 5m SPOT-5 satellite imagery. The product broadly identifies isolated tree crowns as well as contiguous forest at a 5m resolution and each woody pixel also contains a measure of FPC. FPC is the fraction of the ground that is obscured by green leaf, and is a measure of density. This latest map of woody vegetation extent and FPC for NSW is the highest detailed to date. It shows the location, extent, and foliage cover for stands of woody vegetation in NSW for the year 2011. It can be used to identify small features such as paddock trees and trees in scattered woodlands, to the largest expanses of forest in the state. It is intended for use in non-urban environments. The dataset is delivered as a 5m raster product with the following cell values: Contains the following cell values only: 101 - 200: Woody FPC 100: Non-Woody 99: Not woody, ephemeral water 98: Permanent of semi-permanent water 97: Not mapped 96: No observations 0: Null Overall state accuracy for the woody extent (fpc validation pending) is recorded at 90.1% when compared to Lidar datasets (see lineage for more information), and 88% when compared to 6670 visually derived validation points. Although this dataset has undergone extensive manual corrections, the accuracy for specific regions may vary considerably. FPC values: To convert woody FPC pixel values (101 - 200) to standard units of FPC apply the following equation: FPC = pixel_value * 0.01 – 1.0 For example a pixel value of 101 is a FPC of 0.01, and a pixel value of 150 is a FPC of 0.50 etc.

These data were collected as part of the River Red Gum Ecological Thinning Trial.

All floristic data were surveyed in three 20 m x 20 m subplots within each 9 ha plot. Data were collected for six floristics parameters, as described below:

Floristic Composition: Cover scores were recorded for all native and exotic plant species present within each subplot. Additionally, ten 1 m x 1 m quadrats were located every second metre (starting from 0 m) along the western 20 m boundary of each subplot. Presence only data were recorded in these quadrats. Floristic composition was surveyed six times over seven years.

Native and Exotic Vegetation Cover: Cover of living and dead foliage of native and exotic understorey vegetation was estimated to the nearest 0.5% within each subplot. Native and exotic vegetation cover was surveyed three times, starting in the 2019-20 survey year.

Understorey Vegetation Cover: These surveys included visual estimates of the living and dead foliage cover of understorey vegetation within the near-surface and elevated strata. Cover was measured to the nearest 0.5% within each subplot, six times over seven years.

Understorey Vegetation Height: Average understorey vegetation height was estimated by taking ten height measurements from a representative range of understorey plants in each subplot. Understorey height data was collected six times over seven years.

Canopy Cover: Canopy cover was visually estimated as the foliage projective cover of canopy trees, expressed as a percentage of the area in each subplot. Canopy cover data was collected six times over seven years.

Canopy Height: Average canopy height was estimated by measuring the height of all canopy trees within each subplot. Where more than 10 canopy trees were present, 10 representative canopy trees were measured. Canopy height data was collected in two survey years, in 2021-21 and 2021-22.

Further information is provided in the reference guide for each dataset.

These data were collected as part of the River Red Gum Ecological Thinning Trial.

Data were collected for four tree canopy cover and health parameters, as described below:

Foliage Projective Cover (FPC): FPC is a measure of canopy density derived from Landsat images that describes the percentage of ground area occupied by the vertical projection of green foliage of woody vegetation greater than two metres in height. The Landsat satellite provides remotely sensed images at 30 m resolution at 16-day intervals. Mean and median FPC was calculated from multiple pixels (30 m x 30 m) within each 9 ha plot for each date between 2014 to 2022.

Canopy Cover: Canopy cover was visually estimated as the foliage projective cover of canopy trees, expressed as a percentage of the area in each subplot. Canopy cover data was collected six times over seven years. These data were collected as part of the floristic structure surveys in three 20 m x 20 m subplots within each 9 ha plot.

Tree Crown Size: The crown size of each of the 30 permanently marked trees was measured three times over seven years. Crown size was measured by estimating the distance between the canopy edges in 2 perpendicular planes in metres.

Tree Crown Extent: The crown extent of each of the 30 permanently marked trees was measured six times over seven years. Crown extent is defined as the percentage of the potential crown that contains live foliage and was visually estimated to the nearest 5%.

Further information is provided in the reference guide for each dataset.

The NSW 5m Woody Extent is a state-wide binary classification of woody vegetation derived from multitemporal 5m SPOT-5 satellite imagery. The product broadly identifies isolated tree crowns as well as contigous forest at a 5m resolution. This latest map of woody vegetation extent for NSW is the highest detailed to date. It shows the location and extent of woody vegetation in NSW for the year 2011. It can be used to identify small features such as paddock trees and trees in scattered woodlands, to the largest expanses of forest in the state. It is intended for use in non-urban environments and its accuracy for urban environments has not been assessed. The dataset is also used as a spatial constraint for a seamless map of woody foliage projection cover (FPC). FPC is the fraction of the ground that is obscured by green leaf, and is a measure of density. The FPC dataset is delivered as a separate map to the woody extent (although it is constrained by it), and it can also be requested from the OEH data broker. The woody extent product was derived from user-driven thresholds on an index of woody probability. The probability was calculated from a binomial logistic regression model on multi-temporal data. The model utilsed the statistics from SPOT-5 imagery over 2008-2012 and referenced over 26000 training points. Comprehensive manual corrections were also performed throughout 2013-2014 at a scale of 1:15000. The dataset is provided in 8-bit raster format with the following attributes values: 1 = Woody 0 = Non-Woody 255 = null (either outside the NSW boundary or a perennial water feature)

The mapping process as applied in this dataset provides a vector based inventort of the landscape in terms of landuse, vegetation, presence of tree regrowth, tree and shrub canopy density, presence of understorey and soil erosion condition. Mass movement is mapped where it exists, as is a selected range of weed species in pasture areas. These characteristics of the land are part of the larger set of characteristics that can be mapped using the NSW Dept. of Land and Water Conservation’s full set of attribute codes. This set of codes are termed the Standard Classification for Attributes of Land (SCALD). The value of the attribute mapping is that the data objectively characterises the land and can be used for a range of land uses and land management purposes. This system of mapping maximises the efficiency of GIS operation by describing a number of attributes into one polygon, avoiding problems caused by overlaying go different data sets. The full SCALD programme permits the coding of slope, terrain, land use, vegetation community, vegetation regeneration, tree and shrub canopy density, understorey status, projective foliage cover (McDonald et al. 1990), Western Region vegetation, soil erosion, mass movement, soil conservation earthworks, extent of rock outcrops, geology and Great soil groups., geology, great soil group, soil landscapes, physical limitations, land capability, soil depth, user defined attributes and Northwest vegetation associations. Soil landscapes information from the DLWC mapping program of the same name can be incorporated into the SCALD code set. Mapping is carried out at 1:25000 scale using base maps from the NSW Land Information Centre medium scale topographic series. Outputs are most useful at the sub-catchment or regional scale but not at property level. The data are extremely valuable at the river basin scale for integrated catchment planning programmes.

The mapping process as applied in this dataset provides a vector based inventort of the landscape in terms of landuse, vegetation, presence of tree regrowth, tree and shrub canopy density, presence of understorey and soil erosion condition. Mass movement is mapped where it exists, as is a selected range of weed species in pasture areas. These characteristics of the land are part of the larger set of characteristics that can be mapped using the NSW Dept. of Land and Water Conservation’s full set of attribute codes. This set of codes are termed the Standard Classification for Attributes of Land (SCALD). The value of the attribute mapping is that the data objectively characterises the land and can be used for a range of land uses and land management purposes. This system of mapping maximises the efficiency of GIS operation by describing a number of attributes into one polygon, avoiding problems caused by overlaying go different data sets. The full SCALD programme permits the coding of slope, terrain, land use, vegetation community, vegetation regeneration, tree and shrub canopy density, understorey status, projective foliage cover (McDonald et al. 1990), Western Region vegetation, soil erosion, mass movement, soil conservation earthworks, extent of rock outcrops, geology and Great soil groups., geology, great soil group, soil landscapes, physical limitations, land capability, soil depth, user defined attributes and Northwest vegetation associations. Soil landscapes information from the DLWC mapping program of the same name can be incorporated into the SCALD code set. Mapping is carried out at 1:25000 scale using base maps from the NSW Land Information Centre medium scale topographic series. Outputs are most useful at the sub-catchment or regional scale but not at property level. The data are extremely valuable at the river basin scale for integrated catchment planning programmes.