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Raster · dataset · 2022

Statewide Landcover And Trees Study (SLATS) Sentinel-2 - 2018 Foliage Projective Cover (FPC) - Queensland

Listed in Queensland Open Data Portal

Foliage projective cover (FPC) is a metric of vegetation cover used in many Australian vegetation classification frameworks.

Description

The Remote Sensing Centre FPC model relates the field measured green fraction of mid- and over-storey foliage cover to the minimum value of NDVI calculated from 2-years of Landsat seasonal surface reflectance composites. NDVI is a standard vegetation index used in remote sensing which is highly correlated with vegetation photosynthesis.

The FPC model is applied to a 2-year (8 season) time series of Sentinel2 seasonal surface reflectance composites to produce an FPC image. This is intended to represent the FPC for that 2-year period rather than any single date. Completeness: The FPC is reset to 'no-data' for pixels which are non-woody in the Woody Extent data set.

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Woody patches smaller than the Woody Extent Minimum Mapping Unit (0.5HA) will have FPC='No Data'. Likewise, nonwoody patches smaller than the MMU may have a non-zero predicted FPC. Consistency: The model Root Mean Square Error (RMSE) is 9.1 FPC points.

The data set is generally expected to provide a reasonable estimate of the range of FPC values for any given stand of woody vegetation, but it is expected there will be over- and under-estimation of absolute FPC values for any specific location (i.e. pixel) due to a range of factors. Error is also expected in areas of consistent cloud cover and Urban areas, due to interference from the cloud mask. The FPC model is sensitive to fluctuations in vegetation greenness, leading to anomalies such as high FPC in locations with consistently green herbaceous or grass understoreys over the 2-year period.

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Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
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Queensland Open Data Portal8decaff5-8cf2-45df-a6db-0428025575b29 d agoJSON v1
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