<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Journal Article">
		<site>mtc-m21c.sid.inpe.br 806</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP3W34R/3UJ34QL</identifier>
		<repository>sid.inpe.br/mtc-m21c/2019/12.13.15.48</repository>
		<lastupdate>2019:12.13.15.48.58 urlib.net/www/2017/11.22.19.04 simone</lastupdate>
		<metadatarepository>sid.inpe.br/mtc-m21c/2019/12.13.15.48.58</metadatarepository>
		<metadatalastupdate>2020:01.07.17.47.11 sid.inpe.br/bibdigital@80/2006/04.07.15.50 administrator</metadatalastupdate>
		<doi>10.1007/s40808-019-00619-6</doi>
		<issn>2363-6203</issn>
		<citationkey>PicoliMaDuScCoHeRo:2019:SuDrDe</citationkey>
		<title>Sugarcane drought detection through spectral indices derived modeling by remote&#8209;sensing techniques</title>
		<year>2019</year>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1407 KiB</size>
		<author>Picoli, Michelle Cristina Araújo,</author>
		<author>Machado, Pedro Gerber,</author>
		<author>Duft, Daniel Garbellini,</author>
		<author>Scarpare, Fábio Vale,</author>
		<author>Corrêa, Simone Toni Ruiz,</author>
		<author>Hernandes, Thayse Aparecida Dourado,</author>
		<author>Rocha, Jansle Vieira,</author>
		<orcid>0000-0001-9855-2046</orcid>
		<orcid>0000-0001-9834-9697</orcid>
		<orcid>0000-0002-9334-9687</orcid>
		<orcid></orcid>
		<orcid>0000-0002-4906-8829</orcid>
		<orcid>0000-0003-3569-0999</orcid>
		<orcid>0000-0003-3337-4394</orcid>
		<group>DIDPI-CGOBT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>Washington State University</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>Laboratório Nacional de Ciência e Tecnologia do Bioetanal (CTBE)</affiliation>
		<affiliation>Universidade Estadual de Campinas (UNICAMP)</affiliation>
		<electronicmailaddress>michelle.picoli@inpe.br</electronicmailaddress>
		<journal>Modeling Earth Systems and Environment</journal>
		<volume>5</volume>
		<pages>1679-1688</pages>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<versiontype>publisher</versiontype>
		<keywords>Drought stress · Climatological soil–water balance (CSWB) · Monitoring · Satellite images.</keywords>
		<abstract>Several indices based on satellite images have been explored to monitor agricultural drought. Despite the existence of some drought indices, no drought monitoring system for sugarcane exists. In this sense, drought detection could be useful tool to quantify losses and help with action plans. This study investigates the Landsat image potential for sugarcane drought detection by assessing the relationship between vegetation and agricultural drought indices (normalized diference vegetation index (NDVI), vegetation condition index (VCI), normalized diference water index (NDWI), global vegetation moisture index (GVMI), and normalized diference infrared index (NDII)). Two new indices combining near-infrared (NIR) and short-wave infrared (SWIR) bands are proposed for sugarcane drought detection. All indices were individually and collectively compared with soil water defcit and water surplus, simulated by the climatological soilwater balance (CSWB) model. A signifcant correlation between spectral indices and water balance results, specifcally for NDVI and VCI indices (~30%), was observed. The drought detection system identifcation was developed by cluster analysis classifying the pixels into three distinct groups (drought, intermediate drought, and non-drought) to later be used in the discriminant analysis. This methodology showed to have an accuracy rate of 65%. However, the discriminant analysis approach was better suited for sugarcane drought monitoring when compared with individual spectral indices.</abstract>
		<area>SRE</area>
		<language>en</language>
		<targetfile>picoli_sugarcane.pdf</targetfile>
		<usergroup>simone</usergroup>
		<readergroup>administrator</readergroup>
		<readergroup>simone</readergroup>
		<visibility>shown</visibility>
		<readpermission>deny from all and allow from 150.163</readpermission>
		<documentstage>not transferred</documentstage>
		<mirrorrepository>urlib.net/www/2017/11.22.19.04.03</mirrorrepository>
		<nexthigherunit>8JMKD3MGPCW/3EQCCU5</nexthigherunit>
		<citingitemlist>sid.inpe.br/bibdigital/2013/09.09.15.05 5</citingitemlist>
		<hostcollection>urlib.net/www/2017/11.22.19.04</hostcollection>
		<username>simone</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/2019/12.13.15.48</url>
	</metadata>
</metadatalist>