Mr. Ilias Raptis Profile

Ilias Raptis

at Univ of Patras

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Proceedings Article | 17 November 2014 Paper

Open quarry monitoring using gap-filled LANDSAT 7 ETM SLC-OFF imagery

Konstantinos Nikolakopoulos, Ilias Raptis

Proceedings Volume 9245, 92450A (2014) https://doi.org/10.1117/12.2066799

KEYWORDS: Image restoration, Landsat, Stanford Linear Collider, Image sensors, Sensors, Pollution, Satellites, Vegetation, Clouds, Earth observing sensors

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Open quarries are at the same time a necessity but also a source of pollution. Necessity as they supply the necessary fuel for energy production and source of pollution as they affect biodiversity, vegetation cover and threaten water resources. The objective of this work is to indicate a monitoring methodology using Landsat ETM SLC off imagery. On May 31, 2003, the Scan Line Corrector (SLC), which compensates for the forward motion of Landsat 7, failed. Without an operating SLC, the Enhanced Thematic Mapper Plus (ETM+) line of sight now traces a zig-zag pattern along the satellite ground track. As a result, imaged area is duplicated, with width that increases towards the scene edge. An estimated twenty-two percent of any given scene is lost because of the SLC failure. The maximum width of the data gaps along the edge of the image would be equivalent to one full scan line, or approximately 390 to 450 meters. The precise location of the missing scan lines will vary from scene to scene. In this study a gap filling technique for Landsat ETM SLC off imagery is evaluated. Different Landsat 7 ETM+ images SLC off were restored and then compared to historical data and data from other sensors. The restored images have been used in order to monitor the expansion of an open quarry in western Peloponnese and the results are presented.

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