Geovation Water Challenge: Use of spatial data in SEPA
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Transcript of Geovation Water Challenge: Use of spatial data in SEPA
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Use of spatial data in SEPA
Mohammed HaqGeographic Information Analyst
SEPA
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Content
• River networks – case studies
• Septic tanks
• Remote sensing
• Diffuse pollution
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River Network - fish obstacles
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River Network - fish obstacles
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River Network - fish obstacles
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River Network - fish obstacles
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River Network - fish obstacles
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Benefits of OS Network
• Identify loch centre lines
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Benefits of OS Network
• Detail - 1:1250 (urban) to 1:10,000 (mountain & moorland)
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Catchment boundary generation• Inputs: Water network + OS terrain 5 digital
terrain model (DTM)
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Data Creation - Loch Bathymetry
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Loch Bathymetry
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Septic Tanks
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Objectives -
• Total number of septic tanks in each water body catchment.
• Percentage of household on septic tanks.• Number of people using septic tanks.• Priority catchment works
• Calculating loads (i.e. N, P) in each water body catchment.
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Dataset
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Ayr Septic Tanks
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Ayr Phosphorus pollution
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Diffuse pollution
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Remote Sensing in SEPA
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Scottish Wetland Map Based on Inventory data
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• Image classification• A supervised classification was carried out using
Maximum Likelihood algorithms.
• ML failed to classify some of the wetland species e.g. saltmarsh (overall accuracy is less than 60%).
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Class Name
Land Cover mapusing ML
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Hypothesis
Rules
Variables
KnowledgeEngineer
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Class Name
Land Cover mapusing KE
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Thank you
Questions?