Scheduled maintenance: 8-10 am ACT/NSW each Wednesday. Expect shutdowns and restarts.

Contact us: data at auscover.org.au  |  Disclaimer: Please read
Product pages » Disturbance Index - MODIS, Australia coverage

Disturbance Index - MODIS, Australia coverage

Last modified by Matt Paget on 2012/10/11 17:53

Disturbance Index

Link to the data

  • http://data.c3.uts.edu.au

Overview

<One to a few lines describing the product.>ndvi200908.png

<Optional further lines, for instance describing sensor and product purpose.>

<The image at right was inserted at the end of the first line in this group. To replace it: click on the image; select 'Image - Edit image ...' from menu above; Click on 'Upload new image' then 'Select'; Browse to your new image; click on 'Insert image'; drag the corner of the image to fit.>

Key specifications

Spatial resolution1km
Spatial coverageContinental
Temporal resolution16-day, monthly, annual
Temporal coverage2000 to current
Sensor & platform
CustodianUniversity of Wollongong
Version
AlgorithmDisturbance Index based on MODIS MGDI adapted for Australia, and utilising LST, VI, and NDII.

Datasets

<Product name><Spatial resolution><Temporal resolution><Link to dataset>
<Add rows as required. Modify columns to suit product?>

Future development

The MODIS Disturbance Index is under development and validation with plans for release by end of 2012

Background

Overview

Larger-scale forest disturbances from wildfires, hurricanes, pest outbreaks, and widespread tree mortality have major impacts on the global carbon cycle and can result in sudden and large pulses of CO2 and other trace gases released into the atmosphere. The MODIS-based Global Disturbance Index (MGDI) was designed to provide information on the timing, location, and extent of such large scale forest disturbances (Mildrexler et al. 2009). The MGDI combines land surface temperature (LST) and EVI data from the Aqua-MODIS sensor for disturbance mapping.  Major disturbance events will cause changes in EVI and LST that exceed the normal range of natural variability over unique, event-specific periods of time.

Algorithm

<One or a few paragraphs describing the details of the algorithm.>

Quality

Quality and limitations

<summary of uncertainty of the data. Caveats on the data. Algorithm limitations.>

Data completeness

<Description of temporal and spatial coverage and gaps.>

Validation

<Validation results and plans>

Product variants

<Description of related or derived products such as temporal averages, climatological averages, or anomalies from long-term average>

Other specifications

Citation<Title of dataset specific enough to distinguish from related datasets>
Data source<Name of creator or custodian agency for dataset>
Geographical coverage
Coordinate system
Positional accuracy
Accuracy
Completeness
Update plan
Use limitation<Could be copied from the MEST metadata record>
Use constraints<Could be copied from the MEST metadata record>
Contact<Name, address, email for dataset point of contact>

References

Documentation

<Attach documents, e.g. ATBD, validation report>

Links

Tutorials

<Optionally add or delete links and sections>

Tags:
Created by Alfredo Huete on 2012/03/21 11:20

This wiki is licensed under a Creative Commons 2.0 license
XWiki Enterprise 4.5.3 - Documentation