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Product pages » Seasonal cover deciles - Landsat, JRSRP algorithm, Australia Coverage

Seasonal cover deciles - Landsat, JRSRP algorithm, Australia Coverage

Last modified by Bec Trevithick on 2018/07/23 15:05

Seasonal cover deciles - Landsat, JRSRP algorithm, Australia Coverage

cover_deciles.PNG

Link to the data

DescriptorData linkLayer name
Persistent URLhttp://www.auscover.org.au/purl/landsat-seasonal-cover-deciles 
GeoNetwork recordNot Available Yet

Sub-setting tool (experimental 'clip and ship')http://vegcover.com/chopper/ Seasonal Cover Deciles - Total
Seasonal Cover Deciles - Green 
TIFF mosaics - FTP access ftp://qld.auscover.org.au/landsat/seasonal_fractional_cover/cover_deciles_total/
ftp://qld.auscover.org.au/landsat/seasonal_fractional_cover/cover_deciles_green/
cover_deciles_total

cover_deciles_green 
Geoserver examplehttp://qld.auscover.org.au/geoserver/aus/wms?service=WMS&version=1.1.0&request=GetMap&layers=aus:cover_deciles_total&styles=&bbox=-1910505.0,-4910195.0,2299785.0,-855425.0&width=768&height=739&srs=EPSG:3577&format=application/openlayers&time=2010-06

http://qld.auscover.org.au/geoserver/aus/wms?service=WMS&version=1.1.0&request=GetMap&layers=aus:cover_deciles_green&styles=&bbox=-1910505.0,-4910195.0,2299785.0,-855425.0&width=768&height=739&srs=EPSG:3577&format=application/openlayers&time=2010-06
aus:cover_deciles_total

aus:cover_deciles_green
 Timeseries Toolvegmachine.net 

Data licence and Access rights

ItemDetail
RightsCopyright 2010-2020. JRSRP. Rights owned by the Joint Remote Sensing Research Program (JRSRP).
LicenceCreative Common Attribution (CC-BY) 4.0
AccessWhile every care is taken to ensure the accuracy of this information, the Rights owned by the Joint Remote Sensing Research Program (JRSRP) 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

Seasonal fractional vegetation cover deciles for Australia derived from USGS Landsat images

Abstract or Summary

Two fractional cover decile products, green cover and total cover, are currently produced. These products compare, at the per-pixel level, the level of cover for the specific season of interest against the long term cover for that same season. For each pixel all cover values over the entire time-series of seasonal images are classified into deciles. The cover value for the pixel in the season of interest is then classified according to the decile in which it falls. This is an excellent way of identifying areas of low or high cover, relative to what is normal at that location, at that time of year.

Spatial and Temporal extents

ItemDetail
Spatial resolution (metres)30
Spatial coverage (degrees)north:-6; south:-45; west:108 east:160 
Temporal resolutionSeasonally - At least one image per standard calender season.
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 and Innovation 
PositionSenior Scientist (Remote Sensing)
Emailrebecca.trevithick@dsiti.qld.gov.au
RolepointOfContact
AddressRemote Sensing Centre, DSITI, EcoSciences Precinct
Telephone+61 7 3170 5679
URLhttp://www.qld.gov.au/dsiti/

Credit

Landsat 5 TM and Landsat 7 ETM+ images were acquired from United States Geologic Survey.

Filenaming convention

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

<satellite category code><instrument code><product code>_<where>_<when>_<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
whereqld, nsw, vic, tas, sa, nt, wastate
whenmyyyymmyyyymm season start date (1st day of month) and season end date (last day of month) 
processing stagedis
dit
total cover
green cover
data projectiona2Australian Albers Equal Area

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 TM, ETM+ and OLI data, which has a spatial resolution of approximately 30 m. The imagery is rectified using control points measured with a differential GPS ensuring a maximum root mean square (RMS) error of 20 m at these control points. However, it is possible that errors up to ±50 m occur between these control points. The imagery has been corrected for height displacement using a 3" digital elevation model (DEM) based on 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 TM, ETM+ and OLI data, which has a spatial resolution of approximately 30 m.

The imagery is rectified using control points measured with a differential GPS ensuring a maximum root mean square (RMS) error of 20 m at these control points. However, it is possible that errors up to ±50 m occur between these control points. The imagery has been corrected for height displacement using a 3" digital elevation model (DEM) based on 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.

 

Validation status

No validation is required for these products.

Related products

Landsat Seasonal Fractional Cover

References

ItemDetail or link
PublicationArmston, J. D., Danaher, T.J., Goulevitch, B. M., and Byrne, M. I., (2002). Geometric correction of Landsat MSS, TM, and ETM+ imagery for mapping of woody vegetation cover and change detection in Queensland. Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Conference, Brisbane, Australia, September 2002.
PublicationDanaher, T., Scarth, P., Armston, J., Collet, L., Kitchen, J., and Gillingham, S. (2010). Ecosystem Function in Savannas: Measurement and Modelling at Landscape to Global Scales. Vol. Section 3. Remote Sensing of Biophysical and Biochemical Characteristics in Savannas How different remote sensing technologies contribute to measurement and understanding of savannas. Taylor and Francis, Remote sensing of tree-grass systems: The Eastern Australian Woodlands.
PublicationDanaher, T. and Collett, L (2006). Development, Optimisation and Multi-temporal Application of a Simple Landsat Based Water Index. Proceedings of the 13th Australasian Remote Sensing and Photogrammetry Conference, Canberra, Australia, November 2006.
Publicationde Vries, C., Danaher, T., Denham, R., Scarth, P. & Phinn, S. (2007). An operational radiometric calibration procedure for the Landsat sensors based on pseudo-invariant target sites, Remote Sensing of Environment, vol. 107, no. 3, pp. 414-429.
Publication

Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481

Publication

Flood, N., Danaher, T., Gill, T. and Gillingham, S. (2013) An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sens. 2013, 5(1), 83-109. doi:10.3390/rs5010083

PublicationMuir, J., Schmidt, M., Tindall, D., Trevithick, R., Scarth, P., Stewart, J., 2011. Guidelines for Field measurement of fractional ground cover: a technical handbook supporting the Australian collaborative land use and management program. Tech. rep., Queensland Department of Environment and Resource Management for the Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra.
PublicationRobertson, K. (1989)  Spatial transformation for rapid scan-line surface shadowing, IEEE Compter Graphics and Applications.
PublicationScarth, P., Röder, A., Schmidt, M., 2010b. Tracking grazing pressure and climate interaction - the role of Landsat fractional cover in time series analysis. In: Proceedings of the 15th Australasian Remote Sensing and Photogrammetry Conference (ARSPC), 13-17 September, Alice Springs, Australia. Alice Springs, NT.
PublicationZhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118 (2012) 83-94. Extra test performed to mask saturated cloud. Cloud shadow mask, from Fmask Landsat TM cloud algorithm. Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118 (2012) 83-94.

Algorithm summary

The two decile products (total and green) are derived from the historical timeseries of seasonal fractional cover images. The reader is directed to the metadata for that product for details on the algorithm used in their creation (Seasonal Fractional Cover Metadata).

The seasonal fractional cover timeseries for the period Autumn (Mar-May) 1988 to Summer (Dec-Feb) 2012/2013 is used as a baseline, and every season (including those outside the baseline period) is ranked against every available seasonal value within the baseline period, for the corresponding season, on a per-pixel basis. Rankings are expressed as deciles, so a cover value which falls within the bottom 10% of values in the baseline period is given as decile 1, and a cover value which falls in the top 10% is given as decile 10. Two versions of this are created – one which ranks total cover (green + non-green), and one which ranks only the green fraction.

For example, a total cover value for Spring 2013 is ranked against the total cover in all the Spring images in the baseline period. A green cover value in Spring 2013 is ranked against the green cover fractions in all the Spring images in the baseline period.

Because the seasonal composites are used, the data for the target season, and for all corresponding seasons in the baseline period, are representative of the season, and robust against outliers, and the baseline period is sampled evenly across the whole period, so there is no bias towards the years with more imagery available. 

Product version history

Version labelDetail
1.0Initial release

Metadata history

DateDetail
2013-11-25Metadata creation date
Tags:
Created by Bec Trevithick on 2013/11/25 10:40

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