Showing results for: [ Marvanek, Steve ]
Flood inundation maps for the Fitzroy catchment in Western Australia for the baseline, dry and wet climate scenarios
Northern Australian Basin Assessment:: Water Resource Assessments - NAWRA surface water modelling - Published 29 Oct 2018
Persistent waterholes provide important refuge habitats. Waterhole persistence data shows the percentage of years where surface water has been identified along the stream channels during the driest pe... moreriod of the dry seasons from 1988 to 2015 and is derived from Landsat imagery. This dataset was created for the CSIRO Northern Australia Water Resource Assessment (NAWRA) project. This dataset uses another dataset (also available on the Data Access Portal titled ‘Persistent waterholes derived from Landsat archive for NAWRA’), where waterholes were mapped at the end of each dry season (based on available cloud-free Landsat scenes) using a Normalised Difference Water Index derived from Landsat imagery. This method is described in Sims et al. (2016) and only looks at the persistence of water within each pixel through time.
This dataset allows for the fact that a waterhole can vary in shape and local location through time, by providing the percentage of years that at least one water pixel is identified within along-stream segments at the end of each dry season.
Further information is provided as a supported attachment.
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 08 Oct 2018
This dataset provides flood inundation extent and duration for the Fitzroy catchment in Western Australia for the flood events of 2001, 2002, 2006, 2007, 2009, 2011 and 2014. The data are in raster fo... morermat. The values in the raster file shows the duration of inundation (days) during an event. The following are the start and end time for each flood.
FLOOD YEAR START DATE END DATE DURATION (DAYS) EXCEEDANCE PROBABILITY (YEARS)
2001 16/02/2001 14/03/2001 27 1 in 16
2002 20/02/2002 7/03/2002 16 1 in 25
2006 16/03/2006 23/03/2006 8 1 in 2
2007 29/03/2007 6/04/2007 9 1 in 3
2009 26/01/2009 14/02/2009 20 1 in 5
2011 25/02/2011 31/03/2011 35 1 in 25
2014 1/02/2014 18/02/2014 18 1 in 3
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 01 Oct 2018
This collection contains the scripts and example data files to accompany the paper
Luk Peeters, Dan Pagendam, Russell Crosbie, Praveen Kumar Rachakonda, Warrick Dawes, Lei Gao, Steve Marvanek, YongQi... moreang Zhang, Tim McVicar (2018) Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology. Environmental Modelling and Software (accepted for publication).
The zip-file contains an IPython Jupyter Notebook that allows to recreate the groundwater model, sensitivity analysis, emulator and bayesian inference described in the paper. It also contains supplementary material, such as the convergence plots of different stages of the workflow.less
Bioregional Assessment Science Harvest - - Published 10 Sep 2018
The provided data (the Data) represent a raster map of agricultural profit at full equity (PFE) for Australia for the year 2005/06. Values of PFE are provided in ($/ha). PFE is a measure of profit whi... morech is calculated as the revenue from the sale of agricultural commodities minus all fixed and variable costs. This concept is based on the assumption that the land is fully owned (100% equity). The unit of PFE is $/ha. The Data are provided as a raster dataset that is compatible with ArcGIS. The spatial resolution is ~ 1km. Values provided are not for individual commodities (e.g. wheat, barley etc.) but for a set of commodity classes known as SPREAD classes (e.g. winter cereals, winter oilseeds) and broad land use categories (grazing, natural pastures etc.). The Data do not provide information with regards to the associated land use. To link values of PFE to the associated land use (SPREAD class) the Data need to be linked to the land use map of the year 2005/06 (Source: ABARE–BRS 2010. Land Use of Australia, Version 4, 2005-06 dataset).less
CLOSEDSTRATEGIC SpatioPatterns MARINONIO - Agricultural profit map for Australia for 2005-2006 - Published 17 Feb 2014
This dataset depicts a national map of available ASS mapping and ASS qualification inferred from surrogate datasets. ASS mapping is classified with a nationally consistent legend that includes risk as... moresessment criteria and correlations between Australian and International Soil Classification Systems.
Existing digital datasets of ASS mapping have been sourced from each coastal state and territory and combined into a single national dataset. Original state classifications have been translated to a common national classification system by the respective creators of the original data and other experts. This component of the Atlas is referred to as the “Coastal” ASS mapping. The remainder of Australia beyond the extent of state ASS mapping has been “backfilled” with a provisional ASS classification inferred from national and state soils, hydrography and landscape coverages. This component is referred to as the “Inland” ASS mapping.
For the state Coastal ASS mapping, the mapping scale of source data ranges from 1:10K aerial photography in SA to 1:250K vegetation mapping in WA and NT, with most East coast mapping being at the 1:100K scale. For the backfilled inferred Inland ASS mapping the base scale is 1:2.5 million (except Tas.) overlaid with 1:250k hydography. As at 06/08, the Tasmanian inland mapping has been re-modelled using superior soil classification map derived from 1:100k landscape unit mapping.
NOTE: This is composite data layer sourced from best available data with polygons depicted at varying scales and classified with varying levels of confidence. Great care must be taken when interpreting this map and particular attention paid to the “map scale” and confidence rating of a given polygon. It is stressed that polygons rated with Confidence = 4 are provisional classifications inferred from surrogate data with no on ground verification. Also some fields contain a “-“, denoting that a qualification was not able to be made, usually because a necessary component of source mapping coverage did not extend to the given polygon.less
Legacy data - Australian Soil Resource Information System - Published 28 Feb 2013