Monitoring impact of heavy metal on wheat leaves from sewage irrigation by hyperspectral remote sensing

Sewage irrigation is one of the methods to solve water shortage in north China Plain. The wastewater usually come from urban domestic and industrial sewage, inappropriate sewage irrigation can pollute soil and crops by heavy metal depositing. Thereby impact on health of humanbeing indirectly. This p...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Jieying Xiao, Liaoqi Xu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Copper heavy metal Irrigation Lead Reflectivity remote sensing sewage irrigation vegetation Zinc
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	301
container_issue
container_start_page	298
container_title
container_volume	1
creator	Jieying Xiao Liaoqi Xu
description	Sewage irrigation is one of the methods to solve water shortage in north China Plain. The wastewater usually come from urban domestic and industrial sewage, inappropriate sewage irrigation can pollute soil and crops by heavy metal depositing. Thereby impact on health of humanbeing indirectly. This paper try to monitor the impact of heavy metal on wheat leaves by hyperspectral remote sensing. Results showed that content of heavy metal in study area such as copper, zinc and lead is higher than comparing site which irrigated by groundwater, but lower than the standard made by country. Using linear regression analysis, we can find the correlation coefficient between content of heavy metal and spectral reflectance, and monitor the heavy metal in vegetation by remote sensing.
doi_str_mv	10.1109/IITA-GRS.2010.5602981
format	Conference Proceeding
fullrecord	<record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5602981</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5602981</ieee_id><sourcerecordid>5602981</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-7958862ec9414dbf724e14c7ade240dfbd635662d1f3269ed3643442e77592f73</originalsourceid><addsrcrecordid>eNo1UM1KAzEYjIig1j6BCHmBrUn222RzLEVroSJo7yW7-2Ub2T-SYNm3N2CdyzDDzByGkCfOVpwz_bzbHdbZ9vNrJViyCsmELvkVuecgAMqCK3VNllqV_xrULVmG8M0SoBBMsTvSvo-Di6N3Q0tdP5k60tHSE5qfmfYYTUfHgZ6TjrRLJgZq_djTgGfTInXeu9ZElzLVTE_zhD5MWEefeh77MWJKDiGNP5Aba7qAywsvyOH15bB5y_Yf291mvc-cZjFTuihLKbDWwKGprBKAHGplGhTAGls1Mi-kFA23uZAam1xCDiBQqUILq_IFefybdYh4nLzrjZ-Pl2vyX5TVWdU</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Monitoring impact of heavy metal on wheat leaves from sewage irrigation by hyperspectral remote sensing</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Jieying Xiao ; Liaoqi Xu</creator><creatorcontrib>Jieying Xiao ; Liaoqi Xu</creatorcontrib><description>Sewage irrigation is one of the methods to solve water shortage in north China Plain. The wastewater usually come from urban domestic and industrial sewage, inappropriate sewage irrigation can pollute soil and crops by heavy metal depositing. Thereby impact on health of humanbeing indirectly. This paper try to monitor the impact of heavy metal on wheat leaves by hyperspectral remote sensing. Results showed that content of heavy metal in study area such as copper, zinc and lead is higher than comparing site which irrigated by groundwater, but lower than the standard made by country. Using linear regression analysis, we can find the correlation coefficient between content of heavy metal and spectral reflectance, and monitor the heavy metal in vegetation by remote sensing.</description><identifier>ISBN: 9781424485147</identifier><identifier>ISBN: 1424485142</identifier><identifier>EISBN: 1424485177</identifier><identifier>EISBN: 9781424485178</identifier><identifier>EISBN: 1424485169</identifier><identifier>EISBN: 9781424485161</identifier><identifier>DOI: 10.1109/IITA-GRS.2010.5602981</identifier><language>eng</language><publisher>IEEE</publisher><subject>Copper ; heavy metal ; Irrigation ; Lead ; Reflectivity ; remote sensing ; sewage irrigation ; vegetation ; Zinc</subject><ispartof>2010 Second IITA International Conference on Geoscience and Remote Sensing, 2010, Vol.1, p.298-301</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5602981$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5602981$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jieying Xiao</creatorcontrib><creatorcontrib>Liaoqi Xu</creatorcontrib><title>Monitoring impact of heavy metal on wheat leaves from sewage irrigation by hyperspectral remote sensing</title><title>2010 Second IITA International Conference on Geoscience and Remote Sensing</title><addtitle>IITA-GRS</addtitle><description>Sewage irrigation is one of the methods to solve water shortage in north China Plain. The wastewater usually come from urban domestic and industrial sewage, inappropriate sewage irrigation can pollute soil and crops by heavy metal depositing. Thereby impact on health of humanbeing indirectly. This paper try to monitor the impact of heavy metal on wheat leaves by hyperspectral remote sensing. Results showed that content of heavy metal in study area such as copper, zinc and lead is higher than comparing site which irrigated by groundwater, but lower than the standard made by country. Using linear regression analysis, we can find the correlation coefficient between content of heavy metal and spectral reflectance, and monitor the heavy metal in vegetation by remote sensing.</description><subject>Copper</subject><subject>heavy metal</subject><subject>Irrigation</subject><subject>Lead</subject><subject>Reflectivity</subject><subject>remote sensing</subject><subject>sewage irrigation</subject><subject>vegetation</subject><subject>Zinc</subject><isbn>9781424485147</isbn><isbn>1424485142</isbn><isbn>1424485177</isbn><isbn>9781424485178</isbn><isbn>1424485169</isbn><isbn>9781424485161</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UM1KAzEYjIig1j6BCHmBrUn222RzLEVroSJo7yW7-2Ub2T-SYNm3N2CdyzDDzByGkCfOVpwz_bzbHdbZ9vNrJViyCsmELvkVuecgAMqCK3VNllqV_xrULVmG8M0SoBBMsTvSvo-Di6N3Q0tdP5k60tHSE5qfmfYYTUfHgZ6TjrRLJgZq_djTgGfTInXeu9ZElzLVTE_zhD5MWEefeh77MWJKDiGNP5Aba7qAywsvyOH15bB5y_Yf291mvc-cZjFTuihLKbDWwKGprBKAHGplGhTAGls1Mi-kFA23uZAam1xCDiBQqUILq_IFefybdYh4nLzrjZ-Pl2vyX5TVWdU</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Jieying Xiao</creator><creator>Liaoqi Xu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>Monitoring impact of heavy metal on wheat leaves from sewage irrigation by hyperspectral remote sensing</title><author>Jieying Xiao ; Liaoqi Xu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-7958862ec9414dbf724e14c7ade240dfbd635662d1f3269ed3643442e77592f73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Copper</topic><topic>heavy metal</topic><topic>Irrigation</topic><topic>Lead</topic><topic>Reflectivity</topic><topic>remote sensing</topic><topic>sewage irrigation</topic><topic>vegetation</topic><topic>Zinc</topic><toplevel>online_resources</toplevel><creatorcontrib>Jieying Xiao</creatorcontrib><creatorcontrib>Liaoqi Xu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jieying Xiao</au><au>Liaoqi Xu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Monitoring impact of heavy metal on wheat leaves from sewage irrigation by hyperspectral remote sensing</atitle><btitle>2010 Second IITA International Conference on Geoscience and Remote Sensing</btitle><stitle>IITA-GRS</stitle><date>2010-08</date><risdate>2010</risdate><volume>1</volume><spage>298</spage><epage>301</epage><pages>298-301</pages><isbn>9781424485147</isbn><isbn>1424485142</isbn><eisbn>1424485177</eisbn><eisbn>9781424485178</eisbn><eisbn>1424485169</eisbn><eisbn>9781424485161</eisbn><abstract>Sewage irrigation is one of the methods to solve water shortage in north China Plain. The wastewater usually come from urban domestic and industrial sewage, inappropriate sewage irrigation can pollute soil and crops by heavy metal depositing. Thereby impact on health of humanbeing indirectly. This paper try to monitor the impact of heavy metal on wheat leaves by hyperspectral remote sensing. Results showed that content of heavy metal in study area such as copper, zinc and lead is higher than comparing site which irrigated by groundwater, but lower than the standard made by country. Using linear regression analysis, we can find the correlation coefficient between content of heavy metal and spectral reflectance, and monitor the heavy metal in vegetation by remote sensing.</abstract><pub>IEEE</pub><doi>10.1109/IITA-GRS.2010.5602981</doi><tpages>4</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	ISBN: 9781424485147
ispartof	2010 Second IITA International Conference on Geoscience and Remote Sensing, 2010, Vol.1, p.298-301
issn
language	eng
recordid	cdi_ieee_primary_5602981
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Copper heavy metal Irrigation Lead Reflectivity remote sensing sewage irrigation vegetation Zinc
title	Monitoring impact of heavy metal on wheat leaves from sewage irrigation by hyperspectral remote sensing
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T20%3A40%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Monitoring%20impact%20of%20heavy%20metal%20on%20wheat%20leaves%20from%20sewage%20irrigation%20by%20hyperspectral%20remote%20sensing&rft.btitle=2010%20Second%20IITA%20International%20Conference%20on%20Geoscience%20and%20Remote%20Sensing&rft.au=Jieying%20Xiao&rft.date=2010-08&rft.volume=1&rft.spage=298&rft.epage=301&rft.pages=298-301&rft.isbn=9781424485147&rft.isbn_list=1424485142&rft_id=info:doi/10.1109/IITA-GRS.2010.5602981&rft_dat=%3Cieee_6IE%3E5602981%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424485177&rft.eisbn_list=9781424485178&rft.eisbn_list=1424485169&rft.eisbn_list=9781424485161&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5602981&rfr_iscdi=true