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Product pages » Total cover - MODIS, Land Condition Index (LCI) algorithm, Australia coverage

Total cover - MODIS, Land Condition Index (LCI) algorithm, Australia coverage

Last modified by Matt Paget on 2016/06/20 16:39

Total cover - MODIS, Land Condition Index (LCI) algorithm, Australia coverage

AusCover_product_page_LCI.jpg

Figure 1: University of Adelaide Land Condition Index (LCI) for 4-August-2008, blue denotes high total cover (green + non-photosynthetic vegetation), brown denotes low cover (or high soil exposure).

Link to the data

DescriptorData link
Persistent URLhttp://www.auscover.org.au/purl/modis-land-condition-index
GeoNetwork record
GeoTIFFhttp://auscover.ersa.edu.au/thredds/catalog/auscover/lci/catalog.html

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Data licence and Access rights

ItemDetail
RightsCopyright 2011-2013 University of Adelaide. Rights owned by the University of Adelaide. Rights licensed subject to TERN Attribution-Share Alike (TERN BY-SA) Data License v1.0.
LicenceTERN BY-SA v1.0, http://tern.org.au/datalicence/TERN-BY-SA/1.0/
AccessThese data can be freely downloaded and used subject to the TERN BY-SA licence. Attribution and citation is required as described at http://www.auscover.org.au/citation. We ask that you send us citations and copies of publications arising from work that use these data.

Notes:

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Alternate title

MODIS NBAR-derived 16-day composite, total vegetation cover (green and non-photosynthetic vegetation), or total soil exposure.

Abstract or Summary

The MODIS Land Condition Index (LCI) is an index of total vegetation cover (green and non-photosynthetic vegetation ), and so is also an index of soil exposure. The LCI is a normalised difference index based on MODIS bands in the mid-infrared portion of the spectrum. The index is produced from 500-m MODIS nadir BRDF adjusted reflectance (NBAR) data.

As with all products derived from passive remote sensing imagery, this product represents the world as seen from above. Therefore, the cover recorded by this product represent what would be observed from a birds-eye-view. Therefore, dense canopy may prevent observation of significant soil exposure.

Spatial and Temporal extents

ItemDetail
Spatial resolution (metres)500 m
Spatial coverage (degrees)110.000000 to 155.001329 E, -10.000000 to -45.000512 N
Temporal resolution16 day composite, produced every 16 days
Temporal coverage2000-02-18 to 2011-11-09
Sensor & platformMODIS Terra&Aqua
ItemDetail
Spatial representation typegrid
Spatial reference systemWGS 84

Point of contact

ItemDetail
NameKen Clarke
OrganisationUniversity of Adelaide
PositionPostdoctoral research associate
Emailkenneth.clarke@adelaide.edu.au
Roleauthor
AddressDavies Building, DX 650 614, Watie Campus, PMB1, Glen Osmond Road, S.A. 5064 Australia
Telephone+61 8 8313 8112
URL
ItemDetail
NameMegan Lewis
OrganisationUniversity of Adelaide
PositionProfessor, Associate Dean (Future Students)
Emailmegan.lewis@adelaide.edu.au
Roleauthor
AddressDavies Building, DX 650 614, Watie Campus, PMB1, Glen Osmond Road, S.A. 5064 Australia
Telephone+61 8 8313 6522
URL

Credit

The research and development underlying the LCI was performed at the University of Adelaide, and was funded by an Australian Research Council Linkage Project grant (LP0990019), with financial and in-kind contributions from the South Australian Department of Environment, Water and Natural Resources.

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

Product completeness is dependent on the completeness of the underlying MODIS product, MCD43A4. The MCD43A4 product uses 16 day compositing to minimise the chance of failing to acquire data due to cloud cover, and to maximise the quality of the recorded reflectance. However, frequent cloud cover still prevents acquisition of data, most notably in the far northern tropical areas of Western Australia, Northern Territory and Queensland in the rainy season (November to April), and in Tasmania in the winter (June to August).

The LCI is an index of total vegetation cover (green and non-photosynthetic vegetation ), and so is also an index of soil exposure. Importantly this means that it is unit-less, and is not intended to report absolute vegetation or soil fraction. It may be possible to calibrate the LCI to absolute fractions for a specific region, with appropriate field data, as was done in Clarke et al., (2011).

Validation status

The LCI has been evaluated against two sets of South Australian field data; 1) field fractional cover (photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV) and soil) measured at MODIS scale sites (15 sites, x 3 dates), and; 2) rapid field cover assessment data (> 5,500 sites x 4 dates). These evaluations are documented in Clarke et al., (2011).

Additional validation comparing LCI to the other AusCover fractional cover products and to SLATS field data is underway.

Related products

ItemProduct link
MODIS Land Products for Australiahttp://data.auscover.org.au/geonetwork?uuid=61226fbe-ec2a-4b86-9e32-4bd96855e400
MODIS Fractional Cover Metricshttps://remote-sensing.nci.org.au/u39/public/html/modis/fractionalcover-metrics-abares
MODIS Fractional Cover Site Datahttps://remote-sensing.nci.org.au/u39/public/html/modis/fractionalcover-sitedata-abares
Persistent Green-Vegetation Fraction and Wooded Mask - Landsathttp://www.auscover.org.au/xwiki/bin/view/Product+pages/Persistent+Green-Vegetation+Fraction
Fractional cover - Landsat, Joint Remote Sensing Research Program algorithm, Australia coveragehttp://www.auscover.org.au/xwiki/bin/view/Product+pages/Landsat+Fractional+Cover
 Fractional cover - MODIS, CSIRO Land and Water algorithm, Australia coveragehttp://www.auscover.org.au/xwiki/bin/view/Product+pages/Fractional+Cover+MODIS+CLW

References

ItemDetail or link
PublicationClarke, K., Lewis, M., Dutkiewicz, A., Forward, G., and Ostendorf, B., 2011, 'Spatial and Temporal Monitoring of Soil Erosion Risk with Satellite Imagery.' Land Condition Monitoring Reports, Report 4. Adelaide, The University of Adelaide, report for the South Australian Department for Environment and Natural Resources.
Validation report
Online info

Algorithm summary

The LCI is a normalised difference index based on MODIS bands 6 (1.63-1.65 μm) and 7 (2.112.16 μm), with the specific formulation detailed in Clarke et al., (2011). The theoretical basis for the index is that the ratio of reflectance of photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV) in MODIS bands 6 and 7 is relatively similar, and that this ratio is different for soil. PV and NPV both absorb more strongly in MODIS band 7 than in band 6, whereas soils tend to reflect similarly in both bands.

The formulation of the index results in relatively high values (0.3) for PV and NPV, and relatively low values (close to 0) for bare soil.

Product version history

Version labelDetail
1.0Initial release, data produced using the index detailed in Clarke et al., (2011).

Metadata history

DateDetail
2014-03-26Metadata creation date


Tags:
Created by Ken Clarke on 2014/03/13 13:50

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