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REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

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Page 1: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

REFERENCE SURFACE

LTJG Anthony Klemm and Prof. Shachak Pe’eri

LAB 3

Page 2: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Overview

Lab work

• Lab 1: SETTING UP THE WORKSPACE (ARCMAP)

• Lab 2: LOADING THE DATASETS INTO THE PROJECT

• Lab 3: REFERENCE SURFACE

• Lab 4: BATHYMETRIC DIFFERENCE LAYER

• Lab 5: VESSEL TRAFFIC LAYER

• Lab 6: HYDROGRAPHIC CHARACTERISTICS LAYER

• Lab 7: CHART ADEQUACY

Page 3: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

DTM models - scales

The boundaries separating different spatial and temporal scales are not very clear and they may vary with individual processes and/or landscapes

/bathy

J.P. Wilson and J. C. Gallant, 2000. Terrain Analysis: Principles and Applications Wiley, pp. 479.

Page 4: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Topo/bathy scales

Page 5: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Tasks associated with DEM

5

Page 6: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Sources for generating a surface

• Single specific point elevation data: Lead line measurements

Field surveying (GPS, laser scanner)

• Contour data: Digitization of existing charts and topographic maps.

• Remote sensed data: Sonar (single beam, MBES, and interferometry)

Photogrammetry (stereoscopic interpretation)

Lidar (topographic lidar, airborne lidar bathyetry)

Radar remote sensing (InSAR)

Page 7: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Data structures

• Conventional grids

• Triangulated irregular networks (TIN)

• Contours

Grid TIN Contour

Page 8: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Childs, C., 2004, Interpolating surfaces in ArcGIS Spatial Analyst, ArcUser July-September.

Page 9: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

DEM interpolation methods

• Triangulation (TIN)

• Local surface patches

• Local adaptive gridding

Page 10: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

TIN example

Page 11: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Childs, C., 2004, Interpolating surfaces in ArcGIS Spatial Analyst, ArcUser July-September.

DEM interpolation methods

Page 12: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Raster and Vector

• Representation (point cloud versus an array)

• Benefits (representation, size and processing time)

• Limitations (representation, size and processing time)

Page 13: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Raster versus vector (In ArcMap)

Raster Vector

Page 14: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Chart soundings versus a smooth sheet

Chart soundings are a subset of the smooth sheet (or fair sheet) soundings cartographically chosen to represent depths of the sea floor between contours to support safe surface navigation.

Page 15: REFERENCE SURFACE LTJG Anthony Klemm and Prof. Shachak Pe’eri LAB 3

Reference Surface (Charted Depth)

The water depth also contributed to the adequacy level of the chart. For example, bathymetric change between two surveys in within a depth range of 5 to 10 m is more critical that changes at a depth changes that occur with 50 to 60 m.

Accordingly, classified results will be normalized with depth.

Unless recent hydrographic surveys are available and not incorporated into the chart, the reference depth will be derived based on the smooth sheet or chat soundings and contours (if smooth sheet is not available).