Authors / CoAuthors
Lymburner, L. | Tan, P. | Mueller, N. | Thackway, R. | Thankappan, M. | Islam, A. | Randall, L. | Lewis, A.
Abstract
A Dynamic Land Cover Map (DLCM) for Australia has been developed to provide comprehensive and consistent land cover information to inform national and state level priority setting monitoring and reporting for sustainable farming practices, management of water resources, air quality, soil erosion, and forests. The relatively long term time series observations available in the DLCM can be used to assess the land cover dynamics of forests, woodlands, rangelands and cropping systems. The DLCM is based on an analysis of 16-day Enhanced Vegetation Index (EVI) composites collected at a 250-metre resolution using the Moderate Resolution Imaging Spectroradiometer (MODIS) for the period from 2000 to 2008. The MODIS time series for each pixel was analysed using an innovative technique that reduced each time series into 12 coefficients based on the statistical, phenological and seasonal characteristics of each pixel. These coefficients were then clustered and the resultant clusters labelled using Catchment Scale Land Use and the National Vegetation Information System datasets. The classification scheme used to describe land cover categories in the DLCM conforms to the 2007 International Standards Organisation (ISO) land cover standard (19144-2). Land covers including all land and vegetation types are clustered into 34 ISO classes. An accuracy assessment based on around 26,000 independent sites was used to validate the DLCM. As land cover classes are not generally clear-cut, but merge gradually from one to the other, a fuzzy-logic system was used to compare the 34 DLCM classes with the field data on a sliding scale. The match between the field data and the DLCM was exact in 30% of cases, very similar in 35% of cases, moderately similar in 10% of cases, somewhat similar in 18% of cases and a complete mismatch in 7% of cases. These results show a high degree of consistency between the DLCM and the site-based dataset.
Product Type
nonGeographicDataset
eCat Id
70802
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Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
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2601
Australia
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- GA Publication
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
Publication Date
2010-01-01T00:00:00
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geoscientificInformation
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