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The effort and cost required to convert satellite Earth Observation (EO) data into meaningful geophysical variables has prevented the systematic analysis of all available observations. To overcome these problems, we utilise an integrated High Performance Computing and Data environment to rapidly process, restructure and analyse the Australian Landsat data(More)
1 University of Florida, Gainesville, FL, USA 2 Mount Desert Island Biological Laboratory, Salisbury Cove, ME, USA 3 University of Gothenburg, Gothenburg, Sweden 4 Wellesley College, Wellesley, MA, USA 5 University of North Texas, Denton, TX, USA 6 University of Alaska, Firbanks, AK, USA 7 University of Auckland, Auckland, New Zealand 8 Ohio University,(More)
The Landsat series of satellites provide the longest contiguous earth observation record of the Earth's surface. This provides the unique capacity to track changes in vegetation over multiple decades. This paper illustrates how standardized Landsat data can be combined to create a time series of sensor independent observations. The impact of side-lap and(More)
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