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Published December 1, 2017 | public
Journal Article

Big Remotely Sensed Data: tools, applications and experiences

Abstract

The increased availability of large remote sensing datasets is generating heightened interest within the geoscience community, and more generally within human society. Indeed, remote sensing datasets that have commonly been analyzed as single scenes, or neighboring scenes, or temporally sequential scenes can now be analyzed en masse. This is due to the accumulation of large data volumes through time by increasing numbers of satellites, data access efficiencies due to technical advances and policy changes, and advances in hardware and software processing capabilities.

Additional Information

© 2017 Elsevier. Received 30 July 2017, Accepted 14 September 2017, Available online 25 September 2017.

Additional details

Created:
August 19, 2023
Modified:
October 18, 2023