Abstract
The coverage frequency analysis of remote sensing images is helpful to analyse the data acquisition capability of satellites or the vigorous users’ demand. In the current research, thermal values are mostly calculated using an individual point or surface target. In this paper, an index RSICF is proposed, which is calculated based on two shapes, image vectors, and spatial grid, to measure the frequency of remote sensing image coverage. The study uses GF-1 satellite image vectors to calculate RSICF around China to verify its availability. The result shows RSICF can reflect the distribution of historical image frequency respectively and can be introduced by creating a heatmap of remote sensing image coverage.
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