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Therefore, remote sensing archives have been widely used in studies of vegetation change.
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The collection of fire data by remote sensing provides an archive from which to examine global patterns of wildfire, such as differences between areas of the planet where fire occurs and those where it does not.
It operates a satellite ground station to acquire data from remote sensing satellites and processes the archived data to standard or value-added products for distribution and research.
Satellite remote sensing programs have produced an archive of images of the earth that are becoming an increasingly valuable source of data for the study of land cover and land use change.
The growing archives of optical remote sensing images offer great potential for the operational detection and monitoring of surface motion in such areas.
To evaluate the hypothesis, three methods were compared: (i) density-based (Sotoodeh, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVI-5, 2006), (ii) connectivity-based (Wang et al. Comput Graph Forum 32 5):201310, 2013), and (iii) our distance-based approach.
Since the opening of the Landsat archive, the availability of remote sensing data has increased dramatically, and algorithms that can interpret large time series of satellite imagery are in rapid development as additions to the decades of interpretation of remotely-sensed images.
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