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?