General Actions:
Figure 1:Disturbance Index image for 2009 over Australia and New Zealand
Descriptor | Data link |
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Persitent URL | http://www.auscover.org.au/purl/modis-disturbance-index |
GeoNetwork record | |
netCDF | http://data.c3.uts.edu.au/thredds/catalog/auscover/EDI.v01.austnz.500m.nc/catalog.html |
GeoTIFF |
Item | Detail |
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Rights | Copyright 2014 UTS. Rights owned by the University of Technology Sydney (UTS). Rights licensed subject to Creative Commons Attribution (CC BY). |
Licence | Creative Commons Attribution 3.0 License, http://creativecommons.org/licenses/by/3.0. |
Access | These data can be freely downloaded and used subject to the CC BY 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. |
The Disturbance Index (DI; Mildrexler et al. 2007) can be used to detect the timing, location and magnitude of major ecosystem disturbances such as wildfire, flooding, climate change and human-triggered land use. MODIS Aqua Land Surface Temperature (LST; MYD11A2) and Terra Enhanced Vegetation Index (EVI; MOD13A1) data from 2001 to 2013 were used to generate the DI product. The algorithm is based on the consistent radiometric relationship between LST and EVI computed on a pixel-by-pixel basis. Annual maximum composites of LST and EVI data were used to detect fundamental changes in land cover and surface energy partitioning. Annual DI maps were calculated as,
DILST⁄EVI = LSTmax / EVImax
LSTmean / EVImean
where DILST⁄EVI is the disturbance index (DI) value, LSTmax is the annual maximum of eight-day composite LST, EVImax is annual maximum of 16-day EVI, LSTmean is the multiyear mean of LSTmax and EVImean is multiyear mean of EVImax.
Item | Detail |
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Spatial resolution (metres) | 500 m |
Spatial coverage (degrees) | 112 to 180 E, 10 to 48 S |
Temporal resolution | Annual |
Temporal coverage | 2000 to 2013 |
Sensor & platform | MODIS Terra and Aqua |
Item | Detail |
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Spatial representation type | grid |
Spatial reference system | WGS 84 |
Item | Detail |
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Name | Prof. Alfredo Huete |
Organisation | University of Technology Sydney (UTS) |
Position | Professor |
alfredo.huete@uts.edu.au | |
Role | principleInvestigator |
Address | 15 Broadway Road, Ultimo, NSW 2007, Australia |
Telephone | +61 2 9514 4084 |
URL | www.c3.uts.edu.au |
Item | Detail |
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Name | Dr. Rakhesh Devadvas |
Organisation | University of Technology Sydney (UTS) |
Position | Data Manager in eResearch |
rakhesh.devadas@uts.edu.au | |
Role | pointOfContact |
Address | 15 Broadway Road, Ultimo, NSW 2007, Australia |
Telephone | +61 2 9524 8351 |
URL | www.c3.uts.edu.au |
Thesauri | Keyword |
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GCMD | EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION INDEX |
GCMD | EARTH SCIENCE > LAND SURFACE > LAND TEMPERATURE > LAND SURFACE TEMPERATURE |
CF | vegetation_index |
CF | surface_temperature_where_land |
FoR | Environmental Sciences > Ecological Applications = 0501 |
There are three main thesauri that AusCover recommends:
LPDAAC are responsible for the actual data quality and provide quality channels as part of most products. These channels are processed the same as the data channels. The mosaicing, remapping and reformatting processes do not alter either the data or the quality fields.
Quality assessment of the LPDAAC MODIS products is undertaken by the MODIS Land Data Discipline Team, http://landweb.nascom.nasa.gov.
Data set specific link(s) for MOD13A1 and MYD11A2 products are:
Users should be aware that not all tiles for a particular mosaic necessarily become available from the LPDAAC on the same day. It is therefore possible that the most recent mosaic for any given product will be updated over several days, each time containing progressively more actual data within the same (standard) geographic extent.
We have had some minor issues with file corruption that have been detected by users unable to un-gzip the mosaic files. If you discover any such files, please report them to us (see contacts section).
Flags used for MOD13A1 datasets are as below:
Flags | Bit Combination (accepted range) |
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MODLAND_QA | <10 |
VI usefulness | <1100 |
Mixed Clouds | >0 |
Land/Water Flag | 001,011,100 and 101 |
Possible snow/ice | <1 |
Possible shadow | <1 |
Flags used for MYD11A2 datasets are as below:
Flags | Bit Combination (accepted range) |
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Mandatory QA | <10 |
Data Quality | <10 |
Emis Error | <11 |
LST Error | <11 |
Quality assessment of the LPDAAC MODIS products is undertaken by the MODIS Land Data Discipline Team, http://landweb.nascom.nasa.gov.Data set specific link(s) for MOD13A1 and MYD11A2 products are:
Item | Detail or link |
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Publication | |
Validation report | |
Online info | |
References | Mildrexler, D. J., Zhao, M., Heinsch, F. A., & Running, S. W. (2007). A New Satellite-Based Methodology for Continental-Scale Disturbance Detection. Ecological Applications, 17(1), 235–250. doi:10.2307/40061990 Mildrexler, D. J., Zhao, M., & Running, S. W. (2009). Testing a MODIS Global Disturbance Index across North America. Remote Sensing of Environment, 113(10), 2103–2117. doi:10.1016/j.rse.2009.05.016 |
Annual Disturbance Index (Mildrexler et al. 2007) maps were calculated as,
DILST⁄EVI = LSTmax / EVImax
LSTmean / EVImean
where DILST⁄EVI is the disturbance index (DI) value, LSTmax is the annual maximum of eight-day composite LST, EVImax is annual maximum of 16-day EVI, LSTmean is the multiyear mean of LSTmax and EVImean is multiyear mean of EVImax.
Detailed user guide and ATBD can be found as the attachment
.Version label | Detail |
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1.0 | Initial release |
Date | Detail |
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2014-07-03 | Metadata creation date |