Abstract
The Landsat satellite series program has been developed and managed by the United States Geological Survey (USGS) since 1972, representing the longest temporal record of space-based terrestrial observation and taking into account the primary forces advancing the science concept in the global earth systems. Despite the malfunction images of Landsat 7 in 2003, the malfunction imagery preserves its important value in both technical studies and applications. Thus, there are numerous approaches and algorithms that have been presented to solve the SLC-off trouble by finding appropriate methods and approaches to predict the pixel reflectance values at gap locations accurately. This work aims to familiarize the reader with the concepts related to recovering the gap locations of the Landsat 7 SLC-off imagery approaches.
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