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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The SLATS 2022 Woody extent dataset shows the presence/absence of woody vegetation throughout Queensland. The scale of the woody extent dataset is intended to capture features visible at a nominal map scale of 1:10,000: stands of woody vegetation greater than 0.5 ha with a canopy density greater than 10% crown cover will be classified as woody. A minimum width of 20 metres applies to linear features.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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<suppInfo>The classes are categorised in the "Woody_extent_2022" field as 1 - Woody, 2 - Non-Woody. Features were categorised as either woody or non-woody based on a set of decision rules informed by visual inspection of the data, the needs of existing datasets/programs, and expert knowledge. These decisions were based on considerations for the SLATS and Spatial BioCondition programs, and other vegetation monitoring applications, as well as ecological characteristics of the vegetation. No distinction was made between native and non-native vegetation; woody vegetation such as woody weeds and horticultural crops are included as woody in the final classification.
The dataset has been clipped to the Qld Coastline and state border boundary layer. The data is subdivided into a 25x25km grid to aid in drawing and editing performance.</suppInfo>
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<conExpl>The absolute accuracy has not been validated. The data set has a Minimum Mapping Unit of 0.5HA. The minimum width of linear woody features, e.g. narrow corridors of woody vegetation and nonwoody features, e.g. roads or power-line easements, is 20m. Both woody and nonwoody features smaller than these sizes have been filtered out of the data set.</conExpl>
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<statement>The Earth-I mosaics were resampled from 80cm to 1m using Cubic Convolution.
A U-net convolutional neural network classification was fitted on the Earth-I data to produce an initial binary woody presence/absence classification, as described in Flood et al (2019).
The classification was down-sampled to 10m and subsequently manually revised and edited by a team of remote sensing scientists, and quality checked by senior scientists.
The dataset was updated using SLATS woody change data for the 2020-2021 reporting to produce a 2021 woody extent.
The data was clipped to the Queensland coastline and land borders using the Australian_NAT_Framework geopolitical data set.
References.
Flood, N., Watson, F., Collett, L., 2019, Using a U-net convolutional neural network to map woody vegetation extent from high resolution satellite imagery across Queensland, Australia, International Journal of Applied Earth Observation and Geoinformation, Volume 82, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2019.101897.</statement>
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