Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
AuthorSheffield, K; Morse-McNabb, E; Clark, R; Robson, S; Lewis, H
Source TitleScientific Data
PublisherNATURE PUBLISHING GROUP
University of Melbourne Author/sMorse-McNabb, Elizabeth
AffiliationVeterinary and Agricultural Sciences
Document TypeJournal Article
CitationsSheffield, K., Morse-McNabb, E., Clark, R., Robson, S. & Lewis, H. (2015). Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery. SCIENTIFIC DATA, 2 (1), https://doi.org/10.1038/sdata.2015.69.
Access StatusOpen Access
There is a demand for regularly updated, broad-scale, accurate land cover information in Victoria from multiple stakeholders. This paper documents the methods used to generate an annual dominant land cover (DLC) map for Victoria, Australia from 2009 to 2013. Vegetation phenology parameters derived from an annual time series of the Moderate Resolution Imaging Spectroradiometer Vegetation Indices 16-day 250 m (MOD13Q1) product were used to generate annual DLC maps, using a three-tiered hierarchical classification scheme. Classification accuracy at the broadest (primary) class level was over 91% for all years, while it ranged from 72 to 81% at the secondary class level. The most detailed class level (tertiary) had accuracy levels ranging from 61 to 68%. The approach used was able to accommodate variable climatic conditions, which had substantial impacts on vegetation growth patterns and agricultural production across the state between both regions and years. The production of an annual dataset with complete spatial coverage for Victoria provides a reliable base data set with an accuracy that is fit-for-purpose for many applications.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References