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Stmetrics: a python package for satellite image time-series feature extraction

Anderson R. Soares, Hugo N. Bendini, Daiane V. Vaz, Tatiana D. T. Uehara, Alana K. Neves, Sarah Lechler, Thales S. Korting, Leila M. G. Fonseca

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM(2020)

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摘要
Producing reliable land use and land cover maps to support the deployment and operation of public policies is a necessity, especially when environmental management and economic development are considered. To increase the accuracy of these maps, satellite image time-series have been used, as they allow the understanding of land cover dynamics through the time. This paper presents the stmetrics, a python package that provides the extraction of state-of-the-art time-series features. These features can be used for remote sensing time-series image classification and analysis. stmetrics aims to be an easy-to-use package. The package is available under the GNU GPL software license, and the full source code is available for download at: github.com/andersonreisoares/stmetrics.
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关键词
time-series,python,multi-temporal features,remote sensing
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