Remote sensing is used in the geological sciences as a data acquisition method complementary to field observation, because it allows mapping of geological characteristics of regions without physical contact with the areas being explored.[1] About one-fourth of the Earth's total surface area is exposed land where information is ready to be extracted from detailed earth observation via remote sensing.[2] Remote sensing is conducted via detection of electromagnetic radiation by sensors.[1] The radiation can be naturally sourced (passive remote sensing), or produced by machines (active remote sensing) and reflected off of the Earth surface.[1] The electromagnetic radiation acts as an information carrier for two main variables. First, the intensities of reflectance at different wavelengths are detected, and plotted on a spectral reflectance curve.[1] This spectral fingerprint is governed by the physio-chemical properties of the surface of the target object and therefore helps mineral identification and hence geological mapping, for example by hyperspectral imaging.[1] Second, the two-way travel time of radiation from and back to the sensor can calculate the distance in active remote sensing systems, for example, Interferometric synthetic-aperture radar. This helps geomorphological studies of ground motion, and thus can illuminate deformations associated with landslides, earthquakes, etc.[3][4]
Remote sensing data can help studies involving geological mapping, geological hazards and economic geology (i.e., exploration for minerals, petroleum, etc.).[3] These geological studies commonly employ a multitude of tools classified according to short to long wavelengths of the electromagnetic radiation which various instruments are sensitive to.[3] Shorter wavelengths are generally useful for site characterization up to mineralogical scale, while longer wavelengths reveal larger scale surface information, e.g. regional thermal anomalies, surface roughness, etc.[3] Such techniques are particularly beneficial for exploration of inaccessible areas, and planets other than Earth.[3] Remote sensing of proxies for geology, such as soils and vegetation that preferentially grows above different types of rocks, can also help infer the underlying geological patterns.[3] Remote sensing data is often visualized using Geographical Information System (GIS) tools.[3][4] Such tools permit a range of quantitative analyses, such as using different wavelengths of collected data sets in various Red-Green-Blue configurations to produce false color imagery to reveal key features. Thus, image processing is an important step to decipher parameters from the collected image and to extract information.
^ abcdeRees, W. G. (2013). Physical Principles of Remote Sensing 3rd Edition. Cambridge University Press.
^Kuehn, F., King, T. V. V., Hoerig, B., Peters, D. C., Newcomb, C., Toms, H. (2000). Remote Sensing for Site Characterization. Springer.
^ abcdefgGupta, R. P. (1991). Remote Sensing Geology. Springer-Verlag.
^ abInvestigation and Monitoring, Landslides (Nov 19, 2020), Ray, Ram (ed.), Landslides - Investigation and Monitoring, IntechOpen, ISBN 978-1-78985-824-2
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