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Product pages » Climate adjusted seasonal persistent green trend - Landsat, QLD DSITIA algorithm, QLD Coverage

Climate adjusted seasonal persistent green trend - Landsat, QLD DSITIA algorithm, QLD Coverage

Last modified by Matt Paget on 2016/06/17 14:22

Climate adjusted seasonal persistent green trend - Landsat, QLD DSITIA algorithm, QLD Coverage

seasonal.jpg

Figure 1: Caption

Link to the data

DescriptorData linkLayer name
Persistent URLhttp://www.auscover.org.au/purl/landsat-seasonal-persistent-green-climate-adjusted-trend 
GeoNetwork recordNot Available Yet

Tiff mosaicsNot Available Yet
Geoserver exampleNot Available Yet

Data licence and Access rights

ItemDetail
RightsCopyright 2010-2015. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP).
LicenceCreative Common Attribution (CC-BY) 3.0
AccessWhile every care is taken to ensure the accuracy of this information, the Department of Science, Information Technology, Innovation and the Arts (DSITIA) makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which might be incurred as a result of the information being inaccurate or incomplete in any way and for any reason.

Alternate title

Abstract or Summary

Spatial and Temporal extents

ItemDetail
Spatial resolution (metres)30
Spatial coverage (degrees)north:-10; south:-29; west:138 east:155  
Temporal resolution
Temporal coverage1986 ongoing
Sensor & platformLandsat 5&7&8
ItemDetail
Spatial representation typegrid
Spatial reference systemAustralian Albers. EPSG:3577

Point of contact

ItemDetail
NameRebecca Trevithick
OrganisationQLD Department of Science, Information Technology, Innovation and the Arts
PositionScientist (Remote Sensing)
Emailrebecca.trevithick@science.dsitia.qld.gov.au
RolepointOfContact
AddressRemote Sensing Centre, DSITIA, EcoSciences Precinct
Telephone+61 7 3170 5679
URLhttp://derm.qld.gov.au

Credit

  • Joint Remote Sensing Research Program.
  • Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI images were acquired from United States Geologic Survey.

Keywords

ThesauriKeyword
GCMDEARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER
CFvegetation_area_fraction
FoREnvironmental Sciences > Ecological Applications = 0501

There are three main thesauri that AusCover recommends:

  1. Global Change Master Directory (http://gcmd.nasa.gov)
  2. Climate and Forecast (CF) convention standard names (http://cfconventions.org/standard-names.html).
  3. Fields of Research codes (http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E?
    opendocument).

Data quality

Horizontal Positional Accuracy
All the data described here has been generated from the analysis of Landsat Thematic Mapper (TM) data, which has a spatial resolution of 30 m. The imagery is rectified using control points measured with a differential GPS ensuring a maximum root mean square (RMS) error of 20 metres at these control points. However, it is possible that errors up to ±50 meters occur between these control points. The imagery has been corrected for height displacement using a 3" digital elevation model (DEM) the National Aeronautics and Space Administration (NASA), Shuttle Radar Topography Mission (SRTM). It is not recommended that these data sets be used at scales more detailed than 1:100,000.

Vertical Positional Accuracy
All the data described here has been generated from the analysis of Landsat Thematic Mapper (TM) data, which has a spatial resolution of 30 m. The imagery is rectified using control points measured with a differential GPS ensuring a maximum root mean square (RMS) error of 20 metres at these control points. However, it is possible that errors up to ±50 meters occur between these control points. The imagery has been corrected for height displacement using a 3" digital elevation model (DEM) the National Aeronautics and Space Administration (NASA), Shuttle Radar Topography Mission (SRTM). It is not recommended that these data sets be used at scales more detailed than 1:100,000.

Filenaming convention

Filenames for the seasonal fractional cover product conforms to the AusCover standard naming convention. The standard form of this convention is:

<satellite category code><instrument code><product code>_<where>_<processing stage code>_<additional dataset specific tags>

Details for the unique codes used for this dataset can be found in the following table.

 Data Naming Element Possible
Code(s)
Descriptor 
Standard Elements  
satellite categorylzLandsat - all possible
instrumenttmthematic
productrereflective
processing stage
data projectiona2Australian Albers Equal Area

Related products

Landsat Fractional Cover

Persistent Green-Vegetation Fraction and Wooded Mask - Landsat, Australia coverage

References

Algorithm summary

Product version history

Version labelDetail
1.0Initial release

Metadata history

DateDetail
2013-11-25Metadata creation date

Tags:
Created by Robert Denham on 2014/03/24 13:28

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