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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This is a poster of RADARSAT fine mode imagery of Nova Scotia that I created for a presentation at COGS in 1999.
RADARSAT Fine Mode images are intended for applications that require the best spatial resolution. The azimuth resolution is 8.4m for all 5 fine modes and the range resolution varies from 7.1m (F%) to 8.3 (F1). Incidence angles range from 37 degrees to 48 degrees. The Fine mode images in the seamless RADARSAT Nova Scotia mosaic poster above include Digby, Wolfville, Truro, Cape Smokey Area, Brookfield and Halifax.
For more info on RADARSAT see https://en.wikipedia.org/wiki/RADARSAT-1
Summary poster created to show GPS validation data collected for 2003 LIDAR survey of the Annapolis Valley. Poster was one of several presented at the Geomatics Atlantic 2003 Conference held at Acadia University in Wolfville, Nova Scotia and posted at the Applied Geomatics Research Group seminar room in Middleton, Nova Scotia.