Gatineau Park Pansharp Fused Image
A pansharpened image fused with a DEM to help provide an extra 3D effect making the topographic features of Gatineau Park stand out more …
A pansharpened image fused with a DEM to help provide an extra 3D effect making the topographic features of Gatineau Park stand out more …
The following images are a few enhanced LandSAT images of Trout Lake, Nova Scotia (popular fishing place on the South Mountain – south of the town of Middleton) created using PCI Geomatica.

The above images are color shaded relief models that I created with a DEM of Makkovik, Labrador. These were part of a data integration project that I was involved with during my intense Remote Sensing training at the Center of Geographic Sciences (COGS) in Nova Scotia. the Makkovik region is a coastal area along the eastern coast of northern Canada that is rich with geologic outcrops.

The two images above represent artificial three dimensional perspective views perspective views from different points of origin featuring color shaded relief models that were created from high resolution LIDAR digital surface models as part of a LIDAR flood modeling graduate research project.
The study area for the project consisted of the coastal Gulf Shore region of southeastern New Brunswick from Kouchibouguac National Park south to Jourimain Island (location of the Confederation Bridge). The coastal zone of New Brunswick is a picturesque fishing region that boasts several kilometers of sandy beaches with some of the warmest salt water temperatures north of Virginia.
Color Shaded Relief (CSR) image generated from Bald Earth LIDAR points on the left, Middle image is of a Digital Surface Model generated with “All the LIDAR points” and on the right is an air photo for the same area. The area shown in the data samples are of Bouctouche in New Brunswick at a scale of 1:6000. Data sets were part of my gradute research work at the AGRG / COGS in 2003.

This poster is of a mosaic of multi-temporal infra red LandSat imagery of the Annapolis Valley in Nova Scotia. The top image is a false color composite (FCC) using LandSat bands 7,4 and 3. The bottom image image is a true color composite using LandSat bands 3,2 and 1. It was one of the first image mosaics that I ever created with PCI orthoengine while studying remote sensing at COGS in 1999.

A shaded relief model uses different color shades according to the varying levels of elevation and azimuth to create an enhanced simulated terrain. The shading is done with the assumption of a defined light source at a fixed location, shone across the surface. The user-specified light source will then determine the positions of shadows and highlighted slopes making ones facing light source appear bright and those facing away appear dark. By default shaded relief models are created with a grey scale ramp that represent the surface reflectance from the light source at any altitude and any azimuth however adding color to it can add an extra chromo stereoscopic component to it.
Assuming that a straight line is drawn connecting the user defined point source to the top left pixel of the image, the azimuth angle is the aspect of this line in degrees clockwise from north; the elevation angle is the elevation of the line in degrees from the horizontal.
The shaded grey level for each cell is the result of a calculation from the cosine of the angle between the normal vector to the surface (i.e. slope andaspect) and the direction of illumination. All surfaces not illuminated by the light source such as a slope of 90 degrees will be set to 0. An elevation exaggeration is sometimes added to help enhance the features of a fairly homogeneous surface.
In the example shown to the right, a raster aspect map of Lismore, Nova Scotia was derived from a digital elevation model (DEM) calculated with an azimuth angle of 315 degrees and an elevation angle of 45 degrees.
A Northen Nova Scotia RADARSAT mosaic created using PCI OrthoEngine software. Back then RADARSAT data came unformatted and had to be heavily processed and stitched together to form an image like the one featured here …
