<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>mtc-m21c.sid.inpe.br 806</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP3W34R/43B6GMH</identifier>
		<repository>sid.inpe.br/mtc-m21c/2020/09.28.12.52</repository>
		<lastupdate>2020:12.08.15.01.41 urlib.net/www/2017/11.22.19.04 simone</lastupdate>
		<metadatarepository>sid.inpe.br/mtc-m21c/2020/09.28.12.52.33</metadatarepository>
		<metadatalastupdate>2021:01.04.13.26.46 urlib.net/www/2017/11.22.19.04 administrator {D 2020}</metadatalastupdate>
		<secondarykey>INPE--PRE/</secondarykey>
		<citationkey>SoaresBVUNLKF:2020:PhPaSa</citationkey>
		<title>Stmetrics: a phython package for satellite image time-series featrue extraction</title>
		<year>2020</year>
		<date>26 Sept. - 02 Oct.</date>
		<numberoffiles>1</numberoffiles>
		<size>1751 KiB</size>
		<author>Soares, Anderson Reis,</author>
		<author>Bendini, Hugo do Nascimento,</author>
		<author>Vaz, Daiane Vieira,</author>
		<author>Uehara, Tatiana Dias Tardelli,</author>
		<author>Neves, Alana Kasahara,</author>
		<author>Lechler, Sarah,</author>
		<author>Körting, Thales Sehn,</author>
		<author>Fonseca, Leila Maria Garcia,</author>
		<resumeid></resumeid>
		<resumeid></resumeid>
		<resumeid></resumeid>
		<resumeid></resumeid>
		<resumeid></resumeid>
		<resumeid></resumeid>
		<resumeid></resumeid>
		<resumeid>8JMKD3MGP5W/3C9JHLD</resumeid>
		<group>SER-SRE-SESPG-INPE-MCTIC-GOV-BR</group>
		<group>SER-SRE-SESPG-INPE-MCTIC-GOV-BR</group>
		<group>SER-SRE-SESPG-INPE-MCTIC-GOV-BR</group>
		<group>SER-SRE-SESPG-INPE-MCTIC-GOV-BR</group>
		<group>SER-SRE-SESPG-INPE-MCTIC-GOV-BR</group>
		<group></group>
		<group>DIDSR-CGOBT-INPE-MCTIC-GOV-BR</group>
		<group>DIDSR-CGOBT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>University of Muenster</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>anderson.soares@inpe.br</electronicmailaddress>
		<electronicmailaddress>hugo.bendini@inpe.br</electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>thales.korting@inpe.br</electronicmailaddress>
		<electronicmailaddress>leila.fonseca@inpe.br</electronicmailaddress>
		<conferencename>IEEE International Geoscience and Remote Sensing Symposium (IGARSS)</conferencename>
		<conferencelocation>Virtual Symposium</conferencelocation>
		<secondarytype>PRE CI</secondarytype>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<keywords>time-series, python, multi-temporal features, remote sensing.</keywords>
		<abstract>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.</abstract>
		<area>SRE</area>
		<language>en</language>
		<targetfile>soares_stmetrics.pdf</targetfile>
		<usergroup>simone</usergroup>
		<readergroup>administrator</readergroup>
		<readergroup>simone</readergroup>
		<visibility>shown</visibility>
		<documentstage>not transferred</documentstage>
		<nexthigherunit>8JMKD3MGPCW/3ER446E</nexthigherunit>
		<nexthigherunit>8JMKD3MGPCW/3F3NU5S</nexthigherunit>
		<hostcollection>urlib.net/www/2017/11.22.19.04</hostcollection>
		<username>self-uploading-INPE-MCTI-GOV-BR</username>
		<agreement>agreement.html .htaccess .htaccess2</agreement>
		<lasthostcollection>urlib.net/www/2017/11.22.19.04</lasthostcollection>
		<url>http://mtc-m21c.sid.inpe.br/rep-/sid.inpe.br/mtc-m21c/2020/09.28.12.52</url>
	</metadata>
</metadatalist>