Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats.

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)(2022)

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摘要
Analyzing directional data, in particular circular data, requires methods that are being available in libraries with a well-known prestige as Python including SciPy, NumPy or SciKit-Learn libs. An open-source library has been implemented to be executed by the Python interpreter, called PyCircularStats. Source code: https://github.com/mhaut/pycircularstats The potential of PyCircularStats is shown with an example of analyzing two-dimensional data using circular statistics. The practical case chosen is the positional accuracy analysis of a satellite image of LandSat-8 in Caceres, Spain, with 99 control points taken with GNSS systems. In this work, the possibilities of two-dimensional data analysis using circular statistics using the PyCircularStats tool with the results of this case of use is presented.
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关键词
Analysis data, circular graphical statistics, geospatial big data, remote sensing
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