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Remote Sens. 2017, 9(1), 79; doi:10.3390/rs9010079

Near Real-Time Browsable Landsat-8 Imagery

1
Global Earth Observation and Data Analysis Centre, National Cheng Kung University, No. 1 Ta-Hsueh Road, Tainan 701, Taiwan
2
Department of Earth Sciences, National Cheng Kung University, No. 1 Ta-Hsueh Road, Tainan 701, Taiwan
3
Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8568, Japan
4
Debris Flow Disaster Prevention Center, Soil and Water Conservation Bureau, Council of Agriculture, Nantou 54044, Taiwan
5
Hsinchu Forest District Office, Forestry Bureau, Council of Agriculture, The Executive Yuan, Hsinchu 30046, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Müller and Prasad S. Thenkabail
Received: 9 October 2016 / Revised: 23 November 2016 / Accepted: 6 January 2017 / Published: 16 January 2017
View Full-Text   |   Download PDF [19396 KB, uploaded 16 January 2017]   |  

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 the Landsat-8 automatic image processing system (L-8 AIPS) that incorporates the function of mask developed by United States Geological Survey (USGS), the pan-sharpening technique of spectral summation intensity modulation, the adaptive contrast enhancement technique, as well as the Openlayers and Google Maps/Earth compatible superoverlay technique. Operation of L-8 AIPS enables the most up-to-date Landsat-8 images of Taiwan to be browsed with a clear contrast enhancement regardless of the cloud condition, and in only one hour’s time after receiving the raw data from the USGS Level 1 Product Generation System (LPGS). For any ROI in Taiwan, all historical Landsat-8 images can also be quickly viewed in time series at full resolution (15 m). The debris flow triggered by Typhoon Soudelor (8 August 2015), as well as the barrier lake formed and the large-scale destruction of vegetation after Typhoon Nepartak (7 July 2016), are given as three examples of successful applications to demonstrate that the gap between the user’s needs and the existing Level-1 product from LPGS can be bridged by providing browsable images in near real-time. View Full-Text
Keywords: Landsat-8; near real-time; browsable image; pan-sharpening; adaptive contrast enhancement; Openlayers; Google Maps; Google Earth; Taiwan; Formosat-2 Landsat-8; near real-time; browsable image; pan-sharpening; adaptive contrast enhancement; Openlayers; Google Maps; Google Earth; Taiwan; Formosat-2
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Liu, C.-C.; Nakamura, R.; Ko, M.-H.; Matsuo, T.; Kato, S.; Yin, H.-Y.; Huang, C.-S. Near Real-Time Browsable Landsat-8 Imagery. Remote Sens. 2017, 9, 79.

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