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GIS and RS training at the University of Pune started in June 2001 as a one-year diploma course for students from interdisciplinary backgrounds. Dr. (Ms.) Vrishali Deosthali started the course, aiming to create professionals armed with sound knowledge and practical experience, to serve in the remote sensing and GIS industry.
The Indian Institute of Remote Sensing is an institute for research, higher education, and training in the fields of remote sensing, eco-informatics, and GPS technology for natural resources, environmental, and disaster management. The institute was established in 1966 under the Indian Department of Space. [2]
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation. The term is applied especially to acquiring information about Earth and other planets .
Spectroradiometry is a technique in Earth and planetary remote sensing, which makes use of light behaviour, specifically how light energy is reflected, emitted, and scattered by substances, to explore their properties in the electromagnetic (light) spectrum and identify or differentiate between them. [1]
There are five types of resolution when discussing satellite imagery in remote sensing: spatial, spectral, temporal, radiometric and geometric. Campbell (2002) [ 6 ] defines these as follows: Spatial resolution is defined as the pixel size of an image representing the size of the surface area (i.e. m 2 ) being measured on the ground, determined ...
In remote sensing, "ground truth" refers to information collected at the imaged location. Ground truth allows image data to be related to real features and materials on the ground. The collection of ground truth data enables calibration of remote-sensing data, and aids in the interpretation and analysis of what is being sensed.
Remote sensing systems gather data via instruments typically carried on satellites in orbit around the Earth. The remote sensing scanner detects the energy that radiates from the object or area of interest. This energy is recorded as an analog electrical signal and converted into a digital value though an A-to-D conversion.
Hence the remote sensing data has to be classified first, followed by processing by various data enhancement techniques so as to help the user to understand the features that are present in the image. Such classification is a complex task which involves rigorous validation of the training samples depending on the classification algorithm used.
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