geovation water challenge: use of spatial data in sepa
TRANSCRIPT
Use of spatial data in SEPA
Mohammed HaqGeographic Information Analyst
SEPA
Content
• River networks – case studies
• Septic tanks
• Remote sensing
• Diffuse pollution
River Network - fish obstacles
River Network - fish obstacles
River Network - fish obstacles
River Network - fish obstacles
River Network - fish obstacles
Benefits of OS Network
• Identify loch centre lines
Benefits of OS Network
• Detail - 1:1250 (urban) to 1:10,000 (mountain & moorland)
Catchment boundary generation• Inputs: Water network + OS terrain 5 digital
terrain model (DTM)
Data Creation - Loch Bathymetry
Loch Bathymetry
Septic Tanks
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.
Dataset
Ayr Septic Tanks
Ayr Phosphorus pollution
Diffuse pollution
Remote Sensing in SEPA
Scottish Wetland Map Based on Inventory data
• 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%).
Class Name
Land Cover mapusing ML
Hypothesis
Rules
Variables
KnowledgeEngineer
Class Name
Land Cover mapusing KE
Thank you
Questions?