Remote Sensing Terminology
The Landsat program is a series of American satellites that use the visible and infrared parts of the spectrum to record images of the Earth's surface. It is the longest running enterprise for acquisition of satellite imagery, and started back in 1972. The most recent, Landsat 8, was launched in 2013.
Landsat satellites are located in a polar orbit, which allows them to provide images of almost all of the Earth's geography. As the satellite orbits the Earth from pole to pole, it appears to move from east to west because of the Earth’s rotation. This apparent movement allows the satellite to view a new area with each orbit.
Determining land cover has become one of the most common uses of Landsat Imagery and remotely sensing generated images all around the world.
The LiDAR sensor produces a series of point measurements that consists of geographic location (X & Y) and height (Z) of both natural and man-made features, and can be further processed to produce several different products and integrated into a Geographic Information System (GIS).
Click here to learn more about LiDAR
The amount of energy returning to the sensor (known as backscatter) is dependent upon the topography, roughness, and dielectric properties (moisture). Areas of an image with low backscatter appear dark (such as water), while areas of high backscatter appear as light gray levels approximating white shades. By interpreting the various gray tones, textures and patterns, the user can detect information regarding to the regions geologic lithology and structure.
In much of remote sensing, the process involves an interaction between incident radiation and the targets of interest. This is exemplified by the use of imaging systems where the following seven elements are involved. Note, however that remote sensing also involves the sensing of emitted energy and the use of non-imaging sensors. Click here to learn more about Remote Sesning
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I created and presented this poster featuring LIDAR Color Shaded Relief model of Bouctouche / Shediac area of New Brunswick at the 2004 Geotech event that was held in Toronto.
I created and presented the following poster that summarized my Flood Simulation Modeling with High Resolution LIDAR project as part of my Applied Geomatics graduate work at COGS in 2004. The areas in the poster are of Shediac & Parlee Beach, New Brunswick
The two images above are of a portion of the small town of Shediac, New Brunswick. Each one is of the same spatial extent, however the one on the left is of an aerial photo of the town (1999) while the one on the right is a color shaded relief model created from high resolution LIDAR data (2003) using PCI Geomatica software. The LIDAR digital surface model (DSM) was part of a LIDAR flood modeling graduate research project.
Shediac is a small town located in eastern New Brunswick approximately 20 kilometers north of Moncton. The town calls itself the “Lobster Capital of the World”, hosts an annual lobster festival every July, and the world’s largest lobster sculpture is situated at the main entrance to town.