Abstract
This article describes the Daily Aerial Image (DAI) algorithm, a QGIS plugin implemented in Python for satellite image interpolation. The presence of clouds and the time difference between two satellite images make it difficult to observe the Earth’s surface with remote sensors. To solve this problem, the spatial and temporal combination of two observed clean images may be of particular interest to GIS users and satellite image scientists. The DAI package uses tri-band raster images from two different dates to interpolate the intermediate images on a daily basis.
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