Remote Sensing (GIS)

Remote Sensing (GIS)

GIS refers to a tool that is computer-based and used for analyzing and mapping feature events on the globe. It integrates maps and common database operations like statistical analysis and query. In addition, a GIS offers tools for analysis and display of multiple statistics such as vegetation types, the opportunities for economic development, and population traits (Kumar, 2013). It also allows the user to link maps and databases for a conception of dynamic displays. Some of its tools are used to query, visualize and overlay the databases in ways otherwise impossible when traditional spreadsheets are used. Remote sensing is a science and art of measuring the planet using sensors on satellites and airplanes. Such sensors collect information as images. Besides, they have specialized capabilities to visualize, analyze and manipulate such images (Schowengerdt, 2012). GIS is integrated with remotely sensed imagery. Passive sensing is the most common form of remote sensing because it can perform multiple functions and is less costly to operate.

Passive sensing is a type of remote sensing where the radiation reflected or emitted from the surrounding area or an object is gathered for analysis. Passive sensors commonly measure reflective sunlight and naturally occurring forms of energy. Film photography, charge-couple devices, and infrared are the most common forms of passive sensors.

 One of the advantages of a passive sensor is that it can gather data from inaccessible or dangerous zones. The disadvantage is that it can hardly gather data at night or when there is a low sunlight, hence unreliable. Passive sensors are used in monitoring deforestation in Amazon, arctic glacial features, ocean depths, and depth sounding (Frouin, 2011). Military personnel also apply passive sensing in spying enemy states. In fact, many people are convinced that the government intrudes on their privacy using passive sensing techniques. Whether such a claim is true or not is subject to debate.

References

Frouin, R. J. (2011). Active and passive remote sensing of the oceans: 8 - 9 November 2011, Honolulu, Hawaii, USA. Bellingham, Wash: SPIE.

Kumar, S. (2013). Basics of remote sensing and GIS. New Delhi: Laxmi Publications.

Schowengerdt, R. A. (2012). Remote Sensing: Models and Methods for Image Processing. Burlington: Elsevier Science.