Evergreen and Seasonally-green vegetation indices for Australia


Data Access

Overview

This product contains evergreen and seasonally-green vegetation indices. The data has been derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor's Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) image products (MOD13Q1). The algorithm was adapted from: Lu, H., Raupach, M. R., McVicar, T. R. & Barrett, D. J. (2003). Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series. Remote Sensing of Environment 86(1), 1-18.

More details are available in the Download guide and full details will be provided in future publications.

Currently, due to space limitations on the server, only data for eastern Australia can be downloaded. However, data for the rest of Australia is available. Please contact Tony Gill (t.gill1@uq.edu.au) for more details.

Data description

  • layers: The Image data contains 2 layers: 1) evergreen VI, 2) seasonal VI
  • Projection:Geographic, WGS-84
  • code values:

Image Value

Meaning

-10000

no data

other values

vegetation index scaled by 10000

Publications

Gill, T. K., Phinn, S. R., Armston, J. D., Pailthorpe B. A. (2009). Estimating tree-cover change in Australia: challenges of using the MODIS vegetation index product. International Journal of Remote Sensing, 30(6), 1547-1566.

Gill, T. K., J. D. Armston, S. R. Phinn and B. A. Pailthorpe (2006). A comparison of MODIS time-series decomposition methods for estimating evergreen foliage cover. 13th Australasian Remote Sensing and Photogrammetry Conference, Canberra.

Citing the dataset

The Dataset can be cited as:

Gill, T. K., Armston, J. D., Phinn, S. R., Pailthorpe B. A. (2008), Evergreen and Seasonally-green vegetation indices in Australia, The University of Queensland, St Lucia, Australia. URL:http://www.gpa.uq.edu.au/CRSSIS/tools/TGill/

Poster

Estimates of vegetation evergreen (mainly tree) and seasonally-green (main grass) vegetation cover for Australia can be derived from the products.

You can download a poster of the work. Two versions are available: 300dpi (7.5MB) or 600dpi (35MB).

Known Problems

See the download guide for a list of known problems.

Copyright

The University of Queensland; School of Geography, Planning and Architecture.

Product Disclaimer

The copyright holders permit any person to reproduce or copy this publication or any part of it for the purposes of research, scientific advancement, academic discussion, record-keeping, free distribution, educational use or for any other public use or benefit provided that any such reproduction or copy (in part or in whole) acknowledges the permission of the copyright holders and expressly includes a reservation of the copyright holders' commercial rights in terms as stated in the paragraph immediately below.

All commercial rights are reserved and no part of this publication covered by copyright may be reproduced or copied in any form or by any means for the purpose of acquiring profit or generating monies through commercially exploiting (including but not limited to sales) any part of or the whole of this publication except with the written permission of the copyright holders.

Important Disclaimer

The copyright holders advise that the information available from this website is to be used as a management tool only. The information is able to determine Foliage Projective Cover within an estimated accuracy specified in the relevant scientific publications. The user needs to be aware that the quality and geo-positional accuracy of the information cannot be guaranteed. No reliance or actions must therefore be made on this information without seeking prior expert professional, scientific and technical advice.

To the extent permitted by law, the copyright holders (including its employees and consultants) exclude all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this website (in part or in whole) and any information or material contained in it.

Acknowledgements

The MODIS data used in this study were acquired as part of the NASA's Earth Science Enterprise. The algorithms were developed by the MODIS Science Teams. The data were processed by the MODIS Adaptive Processing System (MODAPS) and Goddard Distributed Active Archive Centre (DAAC), and are archived and distributed by the Goddard DAAC.

The source for the MODIS vegetation continuous fields data set (MOD44B) was the Global Land Cover Facility, www.landcover.org

The University of Queensland’s Vislab hosts the download server (http://vislab.uq.edu.au)

Professor Michael Hill from the University of North Dakota and Professor Damian Barrett from The University of Queensland provided valuable reviews during the preparation of the journal manuscript resulting from this work.