Integrated spatial data LIDAR Mapping for Coastal Monitoring Dr Alison Matthews Geomatics Manager Environment Agency Geomatics Group.

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Presentation transcript:

Integrated spatial data LIDAR Mapping for Coastal Monitoring Dr Alison Matthews Geomatics Manager Environment Agency Geomatics Group

Integrated spatial data Commercial in Confidence Recent changes to working practices During 2010, Geomatics Group and the Environment Agency have talked with our coastal partners to refine the specification for LIDAR survey and deliverables Polygons have been rationalised so we can capture more relevant data within tidal windows: this will result in cost savings to the client We have streamlined the QC process, removing duplication and allowing more data analysis

Integrated spatial data Commercial in Confidence Changes to deliverables We have asked what LIDAR data are used for and this has allowed us to change our deliverables – We will now be delivering LIDAR DSMs and will not filter the data – We will provide point cloud data including intensity to allow detailed analysis – We will remove water using a predefined water line mask

Integrated spatial data Outcome The outcome of these changes will be the delivery of a high quality product that allows our partners to confidently undertake detailed analysis of coastal change

Integrated spatial data Aerial Remote Sensing Toolbox CASI LIDAR Digital Camera GPS Navigation and Positioning

Integrated spatial data Principals of airborne LIDAR survey: - GPS - IMU - Laser Rangefinder (Image from USGS website) LIDAR Unit

Integrated spatial data LIDAR derived Digital Surface Model

Integrated spatial data 71% of Wales Covered 90% of Urban Areas Covered September 2010 Coverage More than 95% of Coast Covered Multiple (repeat) Coastal surveys In many locations

Integrated spatial data Data capture flow Client selects survey areas and defines tidal requirements Flights planned by Geomatics, including tidal windows Tidal windows agreed by client LIDAR data captured referenced to either an OS Active station or manned ground station Client informed of successful capture

Integrated spatial data Commercial in Confidence The combined airborne and ground GPS data are processed to produce a high quality trajectory

Integrated spatial data Lines are matched using QT modeller to investigate differences The surface model is compared against ground truth data to produce RMSE statistics and graphs Commercial in Confidence

Integrated spatial data Commercial in Confidence Integrated spatial data LIDAR accuracy improvements m: 0.069m 1m: 0.051m 0.5m: 0.045m 0.25m: 0.040m All: 0.050m LIDAR comparison against Ground Truth

Integrated spatial data Commercial in Confidence Different LIDAR products A range of grid resolutions DSM DTM Intensity images Point clouds vs. raster DEM data

Integrated spatial data 2m Resolution LIDAR DSM

Integrated spatial data 1m Resolution LIDAR DSM

Integrated spatial data 50cm Resolution LIDAR DSM

Integrated spatial data 25cm Resolution LIDAR DSM

Integrated spatial data LIDAR derived Digital Surface Model (DSM)

Integrated spatial data LIDAR derived Digital Terrain Model (DTM)

Integrated spatial data Alternative source of Near Infra Red imagery Can be collected at night time Airborne LIDAR intensity imagery

Integrated spatial data LIDAR Point Cloud Data – Coastal Cliffs

Integrated spatial data Commercial in Confidence Applications With confidence in the accuracy of the LIDAR data there are numerous applications for detailed analysis Understanding the random and systematic errors allows accurate change analysis to be carried out

Integrated spatial data Elevation change (m) < -2m (erosion) -2m m (erosion) -1.5m m (erosion) -0.5m – 0.5m (no significant change) 0.5m – 1.5m (accretion) 1.5m – 2m (accretion) > 2m (accretion) Coastal Zone Mapping - Change

Integrated spatial data Elevation and Volume Change Analysis 2000 – 2009 LIDAR data

Integrated spatial data

Commercial in Confidence