A gentle introduction to hyperspectral remote sensing
Remote Sensing has been identified as “the field of study associated with extracting information about an object without coming into physical contact with it”. In that regard, remote sensing sensors capture specific information from which decisions can be made. For example, a weather satellite can acquire remote sensing images and by proper algorithmic processing, atmospheric parameters can be derived, which ultimately can drive decisions. Often, the remote sensing sensors do not directly measure the particular information of interest, but simply record data from which the desired information can be extracted or correlated.
In a more technical sense, remote sensing refers to the set of technological instrumentation of recording the electromagnetic radiation emitted and/or reflected by the observed objects. The hyperspectral remote sensing is a specific sector of remote sensing, identified by the corresponding sensors used to capture data. In the mid 80’s, two distinct by that time technological areas converged; spectroscopy and remote sensing. This led to the development of “hyperspectral remote sensing” or “imaging spectroscopy”. The instrumentation produced is called hyperspectral sensors or imaging spectrometers. Before delving further into technical characteristics of the sensors, it is beneficial to present first the broader field of electro-optical and infrared remote sensing, along with the corresponding terminology.
The electromagnetic spectral region observed by hyperspectral sensors is a small portion of the full spectrum; usually it ranges from 0.4 to 2.5 μm. The fact that these sensors are sensitive in this portion of the spectrum, lays with the atmospheric conditions of our planet (below). The atmosphere allows (transmitted) and blocks (absorbed) specific ranges of wavelengths. The transmitted wavelengths reach the Earth surface and are reflected by it. The hyperspectral sensors record the reflected radiation.
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