Brief description
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on regression models applied to dry season (May to October) Landsat-5 TM, Landsat-7 ETM+ and Landsat-8 OLI imagery for the period 1988-2014. An annual woody spectral index image is created for each year using a multiple regression model trained from field data collected mostly over the period 1996-1999. A robust regression of the time series of the annual woody spectral index is then performed. The estimated foliage projective cover is the prediction at the date of the selected dry season image for 2014. Where this deviates significantly from the woody spectral index for that date, further tests are undertaken before this estimate is accepted. In some cases, the final estimate is the woody spectral index value rather than the robust regression prediction. The product is further masked to remove areas classified as non-woody.Lineage
Data Creation
Algorithm:
FPC is the percentage of ground area occupied by the vertical projection of foliage. Image value = FPC + 100 (i.e. FPC of 5% = image value of 105). The pixel values in the QLD_FPC_X data set represent the predicted FPC values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data.
Masks:
A number of datasets have been used to mask out certain features from the FPC dataset: 1) Non-woody vegetation has been masked using the 2014 Woody Vegetation Extent dataset. 2) Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/management/mapping/statewide-monitoring/qlump). 3) A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. 4) A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Notes
CreditWe at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
This product was produced in collaboration with the Joint Remote Sensing Research Program (JRSRP) using satellite imagery obtained from the United States Geological Survey (USGS).
Data Quality Assessment Scope
local :
dataset
Corrections have been applied to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, and regrowth following clearing. Some errors may remain.
Data Quality Assessment Result
local :
Quality Result
Comparison of overstorey FPC estimates with independent field estimates of perennial FPC acquired for a range of vegetation types over Queensland, show very good agreement (r2=0.84). Further independent quantitative validation of the final FPC product showed good agreement with field sites (r2=0.78) and lidar data (r2=0.93) estimates of FPC.
Created: 2017-01-19
Issued: 2021-11-11
Modified: 2024-05-12
Data time period: 1988-01-01 to 2014-12-31
text: Queensland
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Point-of-truth metadata URL- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/508f322a-a9fd-459f-9122-df52e2b6579e
- global : 508f322a-a9fd-459f-9122-df52e2b6579e
