publication . Article . 2017

Near real-time browsable landsat-8 imagery

Cheng-Chien Liu; Ryosuke Nakamura; Ming-Hsun Ko; Tomoya Matsuo; Soushi Kato; Hsiao-Yuan Yin; Chung-Shiou Huang;
Open Access
  • Published: 16 Jan 2017 Journal: Remote Sensing, volume 9, page 79 (eissn: 2072-4292, Copyright policy)
  • Publisher: MDPI AG
Abstract
The successful launch and operation of Landsat-8 extends the remarkable 40-year acquisition of space-based land remote-sensing data. To respond quickly to emergency needs, real-time data are directly downlinked to 17 ground stations across the world on a routine basis. With a size of approximately 1 Gb per scene, however, the standard level-1 product provided by these stations is not able to serve the general public. Users would like to browse the most up-to-date and historical images of their regions of interest (ROI) at full-resolution from all kinds of devices without the need for tedious data downloading, decompressing, and processing. This paper reports on ...
Subjects
free text keywords: Real-time computing, Image processing, Remote sensing, Geological survey, Typhoon, Cloud computing, business.industry, business, Geology, Raw data, Upload, Landsat-8, near real-time, browsable image, pan-sharpening, adaptive contrast enhancement, Openlayers, Google Maps, Google Earth, Taiwan, Formosat-2, Science, Q
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue