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%0 Conference Proceedings
%4 sid.inpe.br/mtc-m21c/2020/09.28.12.52
%2 sid.inpe.br/mtc-m21c/2020/09.28.12.52.33
%T Stmetrics: a phython package for satellite image time-series featrue extraction
%D 2020
%8 26 Sept. - 02 Oct.
%A Soares, Anderson Reis,
%A Bendini, Hugo do Nascimento,
%A Vaz, Daiane Vieira,
%A Uehara, Tatiana Dias Tardelli,
%A Neves, Alana Kasahara,
%A Lechler, Sarah,
%A Körting, Thales Sehn,
%A Fonseca, Leila Maria Garcia,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Muenster
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress anderson.soares@inpe.br
%@electronicmailaddress hugo.bendini@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress thales.korting@inpe.br
%@electronicmailaddress leila.fonseca@inpe.br
%B IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
%C Virtual Symposium
%K time-series, python, multi-temporal features, remote sensing.
%X 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.
%@language en
%3 soares_stmetrics.pdf


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