Landsat woody extent and foliage projective cover (FPC) Ver 2.1 (25m) 2008

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.

Data and Resources

Metadata Summary What is metadata?

Field Value
Language English
Edition 2.1
Purpose To support the NSW Annual Report on Native Vegetation which is OEH's comprehensive summary of actions undertaken by private and public land managers to conserve and manage native vegetation. The annual report, which is produced at the end of each calendar year, comprises the Native Vegetation Report Card, the Woody Vegetation Change Report and the Compliance and Enforcement Report Card.
Frequency of change Unknown
Metadata Date 2011-04-30
Date of Asset Creation 2011-04-30
Date of Next Update 2011-05-23
License Creative Commons Attribution 4.0
Vector representation
Record 1
Object type
Object count
Geospatial Topic Imagery base maps earth cover

Dataset extent

Temporal Coverage From 1988-01-01 - 2008-01-06
Datum GDA94 / NSW Lambert
Legal Disclaimer Read
Attribution NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2024"
Groups 2019-20 Bushfire-related datasets: Compilation from the Science Economics and Insights Division