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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 .
Each remote sensing instrument collects data about the atmosphere from a remote location and, usually, stores the data where the instrument is located. The most common types of remote sensing are radar, lidar, and satellites (also photogrammetry). The main uses of radar are to collect information concerning the coverage and characteristics of ...
Remote sensing is the art, science, and technology of obtaining information about Earth's features from measurements made at a distance. [77] Remotely sensed data can be either passive, such as traditional photography , or active, such as LiDAR . [ 77 ]
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]
Richat Structure by Shuttle Radar Topography Mission (SRTM). Instead of being a meteorite impact, the landform is more likely to be a collapsed dome fold structure.. 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 ...
CIMSS serves as an international center for research on the interpretation and uses of operational and experimental satellite observations and remote sensing data acquired from aircraft and the ground. These data are applied to a wide variety of atmospheric and oceanographic studies and evaluated for their potential operational utility.
Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on site observation. Subcategories This category has the following 14 subcategories, out of 14 total.
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.