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Published byClarissa McCarthy Modified over 6 years ago
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Digital Elevation Models (DEM) Digital Terrain Models (DTM) / Digital Surface Models (DSM) Brief Review Applications in image processing: Inclusion in queries and analysis Inclusion as layers in classification Feature extraction via topographic effects 3D modelling and visualisation
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DEM data formats A. Discrete data
Contour lines – from maps or digital files Mass points …. And break lines terms: These can be interpolated into GRIDS (PCI etc..) Method of interpolation can have high impact on the DEM B. Continuous data Triangulated Irregular Networks (TIN) Raster grids –needed for remote sensing – should be ~same pixel size
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DEM sources: global GTOPO30 ~1993 1km
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DEM sources Canada NTDB: 1:50,000 1950-90 25 – 100m pixels
Aerial photography > m Municipal : 5,000 (usually contours) BC TRIM :20, s photogrammetry TRIM II breaklines Landsat MSS :250, Satellite path overlap Landsat TM/ETM 1:100, Satellite path overlap
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DSM sources 2000+ Shuttle Radar Topographic Mission (SRTM) Feb m
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ASTER – 25m microns
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SPOT DEM: m
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Directed high res sensors- Ikonos 1999 2-5m
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LiDAR 10cm – 10m (Mt.St. Helens)
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Photogrammetry: Tatras, Slovakia 2m
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Anaglyph - Malaspina
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DEM products Elevation 0- ? 16 bit (signed) Shaded relief 0-255
Slope (if in degrees) Aspect bit Incidence requires orbital metadata Visual: Anaglyphs and 3D perspectives
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DEM quality and errors Scale – Match with needs and imagery
Type of terrain - pixel homogeneity Horizontal and vertical accuracy DSM or DTM ? Interpolation / resampling method – from points or lines? Null values and spikes Errors are more easily spotted from a hillshaded model
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BC provincial DEM 1985 (1981-1989) – Homathko Icefield - mapplace
BC provincial DEM 1985 ( ) – Homathko Icefield - mapplace.ca or lrdw.ca
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Assiniboine Spillway, MB
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SRTM – ASTER comparison Sample area in Indonesia
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Paper to review for next week
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