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Product pages » Fractional cover metrics - MODIS, ABARES algorithm, Australia coverage

Fractional cover metrics - MODIS, ABARES algorithm, Australia coverage

Last modified by Matt Paget on 2016/08/04 11:58

Fractional cover metrics - MODIS, ABARES algorithm, Australia coverage

median-ground-cover.png
Figure 1: Seasonal median ground cover for 2012 to 2013

nullarbor-annual-fc-combined.png
Figure 2: Annual fractional cover and rainfall for the Nullarbor Plain from 2000 to 2012

Link to the data

DescriptorData link
Peristent URLhttp://www.auscover.org.au/purl/modis-fractional-cover-metrics
GeoNetwork record
ERDAShttp://remote-sensing.nci.org.au/u39/public/html/modis/fractionalcover-metrics-abares

We plan to copy to NetCDF-CF format.

Data licence and Access rights

ItemDetail
RightsCopyright 2011-2013 Commonwealth of Australia. Rights owned by the Commonwealth of Australia. Rights licensed subject to Creative Commons Attribution ShareAlike (CC BY-SA).
LicenceCreative Commons AttributionShare 3.0 License, http://creativecommons.org/licenses/by-sa/3.0.
AccessThese data can be freely downloaded and used subject to the CC BY-SA licence. Attribution and citation is required as described in the Readme files at http://remote-sensing.nci.org.au/u39/public/html/modis/fractionalcover-metrics-abares and following the guidelines at http://data.auscover.org.au/citation. We ask that you send us citations and copies of publications arising from work that use these data.

Alternate title

MODIS-derived vegetation fractional cover metrics.

Abstract or Summary

The MODIS‐derived vegetation fractional cover metrics is a collection of image files which statistically summarise the time‐series vegetation fractional cover data set (Guerschman et al. 2009; Guerschman et al. 2012) for Australia from March 2000 to current. Considering user needs, the MODIS‐derived vegetation fractional cover metrics data set comprises the following rasters: mean, standard deviation, minimum value, maximum value, time of minimum and time of maximum, for the PV, NPV and BS themes, and; the percentage of each of the data quality flag classes (0, 1, 2 and 255) for the FLAG theme. The metrics summarise calendar years, seasons (three months) and each month from March 2000 to current.

Spatial and Temporal extents

ItemDetail
Spatial resolution (metres)500
Spatial coverage (degrees)110.000000 to 155.001329 E, -10.000000 to -45.000512 N
Temporal resolutionmonthly, seasonal (3 months) and annual composites
Temporal coverage2000-03-01 to ongoing
Sensor & platformMODIS Terra&Aqua
ItemDetail
Spatial representation typegrid
Spatial reference systemWGS 84

Point of contact

ItemDetail
NameLucy Randall
OrganisationAustralian Bureau of Agricultural and Resource Economics and Sciences (ABARES)
Position
EmailLucy.Randall@daff.gov.au
Roleauthor
Address
Telephone
URL
ItemDetail
NameRob Smart,
OrganisationAustralian Bureau of Agricultural and Resource Economics and Sciences (ABARES)
Position
EmailRob.Smart@daff.gov.au
Roleauthor
Address
Telephone
URL

Need to add position titles for Lucy and Rob.

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

The quality of the fractional cover product is dependant on the quality of the MODIS NBAR data, and subject to uncertainties and bias as described in Guerschman et al. (2009 and 2012). The phased production strategy of producing a 16-day composite every 8 days and the combination of the Terra and Aqua sensors in the MCD43A4 collection 5 enhances the chances of obtaining enough cloud-free data for each pixel in each date compared to the same data in collection 4. However, there are still areas with poor data availability, notably in the tropical areas during the monsoonal rains (November to April).
 
The quality of the metrics is further affected by the frequency of missing or constrained data, such as where FLAG classes 0 + 1 is less than 50 per cent. These pixels have been excluded from the analysis.  

Validation status

Detail procedures or work undertaken to validate the products. Include references to reports (full reference information can be added in the Reference section). If no validation has yet been done, detail how one might validate the product.

Related products

ItemProduct link
MODIS Fractional coverFractional cover - MODIS, CSIRO Land and Water algorithm, Australia coverage
Fractional cover site dataMODIS fractional cover site data- Field sites

References

ItemDetail or link
Publication
Reference publicationJuan Pablo Guerschman, Michael J. Hill, Luigi J. Renzullo, Damian J. Barrett, Alan S. Marks, Elizabeth J. Botha (2009). Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors Remote Sensing of Environment, Volume 113, Issue 5, pp. 928-945. http://dx.doi.org/10.1016/j.rse.2009.01.006
Validation reportGuerschman, JP, Oyarzabal, M, Malthus, TJ, McVicar, TM, Byrne, G, Randall, LA and Stewart, JB (2012), Validation of the MODIS-based vegetation fractional cover product, CSIRO Land and Water Science Report, Canberra, April 2012, available at http://www.clw.csiro.au/publications/science/2012/SAF-MODIS-fractional-cover.pdf
Online infoABARES ground cover monitoring for Australia, http://adl.brs.gov.au/landuse/index.cfm?fa=main.monitoring

Algorithm summary

See the user guide documentation, available at https://rs.nci.org.au/u39/public/html/modis/fractionalcover-metrics-abares/.

Product version history

Version labelDetail
2.1The metrics were derived from the MODIS-derive vegetation fractional cover data  (v2.1) and constructed with the maximum percentage of no data set to 50 per cent. FLAG classes 2 and 255 are referred to as ‘no data’.
2.2The metrics were derived from the MODIS-derive vegetation fractional cover data  (v2.2) and constructed with the maximum percentage of no data set to 50 per cent. FLAG classes 2 and 255 are referred to as ‘no data’.

Metadata history

DateDetail
2011-05Published v2.1 Readme and User guide
2012-04Published v2.2 Readme and User guide
2013-02-19Created metadata record
2016-08-04Added figures
Tags:
Created by Matt Paget on 2013/02/19 09:49

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