Remote Sensing

What is Remote Sensing?

By Juhele - Openclipart, CC0, https://commons.wikimedia.org/w/index.php?curid=88923363

Remote Sensing is concerned with acquisition of information about an object or phenomenon, by the use of either recording or real-time sensing device(s) that is not in physical contact with the object (such as by way of aircraft, satellite, or ship). It deals with acquiring data commonly in the form of images, which are subsequently digitally processed to extract desired information about the environment. In practice, remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. The use and application of remote sensing techniques has become pervasive in disciplines such as cartography, urban and regional planning, forestry, aquatic sciences, geology, meteorology and many others). It deals with the basic need of acquiring information about objects, phenomena and processes on and in the earth, such as the physical environment, natural and man-made resources in order to understand their uses and critical changes. It draws from many disciplines, including computer science, engineering, environmental sciences, mathematics, and statistics in order to understand how data are remotely captured, represented and later processed to obtain information. Information derived through remote sensing techniques are critical inputs to further spatial analysis and modeling.

Remote Sensing as a Field of Specialization

Intended for those who will be involved in the design and development of remote sensing techniques and approaches in order to provide vital information in support of decision-making about the environment. They are people whose organizations are concerned with the generation of primary spatial data through analysis of images and other remotely sensed data. Upon completing the degree, their skills in doing research and development in the field of remote sensing will be improved. Specifically, these include:

  • Understanding of the underlying principles in acquiring, processing, transmitting, storing, representing, and using remotely sense data

  • Competence in designing of remote sensing techniques in order to provide an efficient method for obtaining primary spatial data

  • Capability in designing and carrying out research and development projects in various aspects of remote sensing

  • Confidence in communicating and transferring knowledge on remote sensing to others

Specialized GmE Courses for Remote Sensing

GmE 230: Microwave Remote Sensing

Theory and application of microwave remote sensing in resource mapping, monitoring and prediction; Radar development; Side Looking Radars (SLAR); Synthetic Aperture Radar, Imaging polarimetry, interferometry, radar altimetry, passive microwave systems. Prereq: GmE 202. 5 h (2 lec, 3 lab). 3 u.

GmE 231: Lidar Remote Sensing

Principles, technologies and applications of Lidar (“Light Detection and Ranging”) remote sensing; Laser ranging; Airborne laser scanning; Lidar system design; full-wave laser scanning; quantitative Lidar simulation; Lidar data retrieval; Lidar sensitivity and error analysis. Prereq: GmE 202. 5 h (2 lec, 3 lab). 3 u.

GmE 232: Hyperspectral Remote Sensing

Principles, technologies and applications of hyperspectral remote sensing; spectral matching; spectral mixing analysis; high-dimensional implications for supervised classification. Prereq: GmE 202. 5 h (2 lec, 3 lab). 3 u.

GmE 233: Close-Range Photogrammetry

Principle and methods of close-range digital photogrammetry; industrial, engineering and other applications of vision metrology. Prereq: GmE 202. 5 h (2 lec, 3 lab). 3 u.