Seasonal Herbaceous Wetland likelihood model V1 output (mean and standard deviation)

Modelled likelihood of occurrence of seasonal herbaceous wetlands in south-east Australia using field observations and a suite of temporally informed statistics for indices derived from the Landsat and ALOS satellite platforms. Model outputs include both likelihood and uncertainty surfaces. The likelihood surface depicts the mean likelihood (of 30 independent models) of seasonal herbaceous wetland occurrence at each 25 x 25 m pixel and the uncertainty surface is the standard deviation derived from the set of 30 likelihood of occurrence predictions at each pixel.

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Seasonal Herbaceous Wetland likelihood model V1 output (mean and standard deviation)

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Field Value
Date Published 2017-01-19
Date Updated 2018-12-31
Agency Department of Environment, Land, Water & Planning
License Creative Commons Attribution 4.0 International
[Open Data]
Agency Program Department of Environment, Land, Water and Planning
Citation Copyright © The State of Victoria, Department of Environment, Land, Water & Planning 2019
Attribution Copyright © The State of Victoria, Department of Environment, Land, Water & Planning 2019
Update Frequency other
Data Temporal Coverage: 2015-03-14 to 2016-08-03
Geospatial Coverage 141,-39,150,-34
Geospatial Scale 25 m x 25 m pixel size
Geospatial Accuracy Modelled likelihood of occurrence of seasonal herbaceous wetlands in south-east Australia using field observations and a suite of temporally informed statistics for indices derived from the Landsat and ALOS satellite platforms. Model outputs include both an uncertainty surface and a likelihood surface. The resultant model fits the field observations robustly and model validation suggests that the model extrapolates successfully even when presented with novel field observations.The likelihood surface depicts the mean likelihood (of 30 independent models) of seasonal herbaceous wetland occurrence at each 25 x 25 m pixel and the uncertainty surface is the standard deviation derived from the set of 30 likelihood of occurrence predictions at each pixel. These two surfaces can be combined and/or thresholded for decision making contexts that may be more or less risk averse. Note that the "probability" (i.e. values between 0 and 1) have been changed to integer values from 1-100. In the mean prediction application of the model, probabilities of less than 0.05 have been put to "NoData" Not documented
Full Metadata URL http://services.land.vic.gov.au/catalogue/metadata?anzlicId=ANZVI0803005667&publicId=guest&extractionProviderId=3
Recent Downloads Count 6 (January 2017)