STMETRICS: A PYTHON PACKAGE FOR SATELLITE IMAGE TIME-SERIES FEATURE EXTRACTION

Autor(es)

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

• Tipo de documento: Artigo Científico
• Fonte: IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM; v. N/A, p. 4-pg., 2020-01-01.

Resumo

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. (AU)

• Processo FAPESP: 17/24086-2 - Gerenciamento de metadados de grandes volumes de dados de sensoriamento remoto
• Beneficiário: Thales Sehn Körting
• Modalidade de apoio: Auxílio à Pesquisa - Regular