• Seasonal Persistent Green Cover - Landsat, JRSRP algorithm

    An estimate of persistent green cover per season.This is intended to estimate the portion of vegetation that does not completely senesce within a year, which primarily consists of woody vegetation (trees and shrubs).

    • KEYWORDS:
      Landsat, persistent, JRSRP
    • DATA LICENCE
      & ACCESS RIGHTS:
      CC-BY 3.0
    • SPATIAL COVERAGE
      & RESOLUTION:
      30 m resolution; Australia
    • TEMPORAL COVERAGE & RESOLUTION:
      At least one image per standard calendar season; 1990 to 2013
    • PRODUCTION STATUS:
      Updated quarterly
  • Seasonal cover deciles - Landsat, JRSRP algorithm

    Two fractional cover decile products for green cover and total cover. These products compare, per-pixel, the cover for a specific season of interest against the long term cover for that same season. This can be used to identify areas of low or high cover, relative to what is normal at that location at that time of year.

    • KEYWORDS:
      Landsat, cover, ground cover, JRSRP
    • DATA LICENCE
      & ACCESS RIGHTS:
      CC-BY 3.0
    • SPATIAL COVERAGE
      & RESOLUTION:
      30 m resolution; Australia
    • TEMPORAL COVERAGE & RESOLUTION:
      At least one image per standard calendar season; 1986 to ongoing
    • PRODUCTION STATUS:
      Updated quarterly
  • Seasonal ground cover - Landsat, JRSRP algorithm

    Estimates of ‘true’ ground cover for each season, restricted to areas of less than 60% woody vegetation, by combining information from the Persistent Green and Seasonal fractional cover products.

    • KEYWORDS:
      Landsat, ground cover, cover, JRSRP
    • DATA LICENCE
      & ACCESS RIGHTS:
      CC-BY 3.0
    • SPATIAL COVERAGE
      & RESOLUTION:
      30 m resolution; Australia
    • TEMPORAL COVERAGE & RESOLUTION:
      At least one image per standard calendar season; 1990 to ongoing
    • PRODUCTION STATUS:
      Experimental product, not fully validated
  • Seasonal fractional cover - Landsat, JRSRP algorithm

    Representative seasonal medians of fractional cover, with landcover fractions representing the proportions of green, non-green and bare cover. The benefits of compositing seasonal images are the creation of a regular time-series capturing seasonal variability, and the minimisation of missing data and contamination present in single date imagery.

    • KEYWORDS:
      Landsat, cover, ground cover, JRSRP
    • DATA LICENCE
      & ACCESS RIGHTS:
      CC-BY 3.0
    • SPATIAL COVERAGE
      & RESOLUTION:
      30 m resolution; Australia
    • TEMPORAL COVERAGE & RESOLUTION:
      At least one image per standard calendar season; 1986 to ongoing
    • PRODUCTION STATUS:
      Updated quarterly
  • Persistent Green-Vegetation Fraction and Wooded Mask

    A map product of woody-vegetation cover of Australia for the decade from 2000 to 2010, derived from field, airborne and satellite image data.

    • KEYWORDS:
      Landsat, cover, ground cover, woody vegetation, JRSRP
    • DATA LICENCE
      & ACCESS RIGHTS:
      CC-BY 3.0
    • SPATIAL COVERAGE
      & RESOLUTION:
      30 m resolution; Australia
    • TEMPORAL COVERAGE & RESOLUTION:
      Single layer derived from data in the period 2000 to 2010.
    • PRODUCTION STATUS:
      One-off, no update planned
  • Fractional cover - Landsat, JRSRP algorithm

    Vegetation fractional cover represents the exposed proportion of green, non-green, and bare cover within each pixel. Landsat-scale ground cover information is important for soil erosion and nutrient flux estimates into the stream network, as well as assessing the impact of human activities.

    • KEYWORDS:
      Landsat, JRSRP, ground cover, cover
    • DATA LICENCE
      & ACCESS RIGHTS:
      CC-BY 3.0
    • SPATIAL COVERAGE
      & RESOLUTION:
      30 m resolution; Australia
    • TEMPORAL COVERAGE & RESOLUTION:
      At least one image per year captured during the local dry season; 2000 to 2011
    • PRODUCTION STATUS:
      Deprecated. Transitioned to seasonal aggregates. FC scenes available via the AGDC

Download our ‘Good Practice Guidelines’

TERN AusCover supports a nationally consistent approach to the calibration, validation, and delivery of earth observation data products. To ensure that earth observation data is useful to a wide range of users, the collection and delivery of this data needs to be accurate, precise, and use reproducible methods. To support the earth observation community in achieving a high quality and consistent approach nationwide, we’ve developed our ‘Good Practice Guidelines’ that provide advice on calibrating and validating earth observation data.
The Guidelines are provided as a free and accessible tool to anyone working in earth observation. They are also intended to be a dynamic resource that will be updated over time as new knowledge and best-practice processes emerge. Please contact us if you have feedback or questions.
The Guidelines draw upon the knowledge and experience of our national expert network, and also internationally agreed protocols and standards. We are grateful to the external and international reviewers who refined the Guidelines prior to their release.

Download the Guidelines here