Land Cover Mapping with Landsat Data: The Tasmania Case Study

The aim of this study is to map Tasmania land cover with the mapping unit of 30m and make preparations for future large area mapping. Tasmania was selected as the study area, which is an Australian island and state. The proposed method could reduce both the conflicts in overlap areas, and the requir...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Liang Zhai, Jinping Sun, Wenhan Xie, Gang Yang, Huiyong Sang, Yi Jia
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4
container_issue
container_start_page 1
container_title
container_volume
creator Liang Zhai
Jinping Sun
Wenhan Xie
Gang Yang
Huiyong Sang
Yi Jia
description The aim of this study is to map Tasmania land cover with the mapping unit of 30m and make preparations for future large area mapping. Tasmania was selected as the study area, which is an Australian island and state. The proposed method could reduce both the conflicts in overlap areas, and the requirements on data acquisition date. The overall accuracy and Kappa coefficient for 2000 year image classification result are 75.50% and 0.7175, while 79.80% and 0.7656 for 2010 year.
doi_str_mv 10.1109/ISIDF.2011.6024209
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6024209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6024209</ieee_id><sourcerecordid>6024209</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-b2dbdd2a50750b995c133c707d0cd64414ccc723d456f5a6b0ca239bec1b8913</originalsourceid><addsrcrecordid>eNo1j8tKw0AYhUdEUGteQDfzAon_3DOCC0mtBiIukn3551IbsTFkotK3V7GezeE7iw8OIZcMCsbAXtdtvVwVHBgrNHDJwR6RcyaVMWB1qY9JZk35z6Y8JVlKr_ATrS1ncEZuGxwCrd4_40SfcBz74YV-9fOW_u4JZ7rEGW9ot420w7TDoUdaYYq0nT_C_oKcbPAtxezQC9Ku7rvqMW-eH-rqrsl7C3PueHAhcFRgFDhrlWdCeAMmgA9aSia994aLIJXeKNQOPHJhXfTMlZaJBbn6s_YxxvU49Tuc9uvDX_ENopJHwg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Land Cover Mapping with Landsat Data: The Tasmania Case Study</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Liang Zhai ; Jinping Sun ; Wenhan Xie ; Gang Yang ; Huiyong Sang ; Yi Jia</creator><creatorcontrib>Liang Zhai ; Jinping Sun ; Wenhan Xie ; Gang Yang ; Huiyong Sang ; Yi Jia</creatorcontrib><description>The aim of this study is to map Tasmania land cover with the mapping unit of 30m and make preparations for future large area mapping. Tasmania was selected as the study area, which is an Australian island and state. The proposed method could reduce both the conflicts in overlap areas, and the requirements on data acquisition date. The overall accuracy and Kappa coefficient for 2000 year image classification result are 75.50% and 0.7175, while 79.80% and 0.7656 for 2010 year.</description><identifier>ISBN: 9781457709678</identifier><identifier>ISBN: 1457709678</identifier><identifier>EISBN: 1457709686</identifier><identifier>EISBN: 9781457709685</identifier><identifier>EISBN: 1457709694</identifier><identifier>EISBN: 9781457709692</identifier><identifier>DOI: 10.1109/ISIDF.2011.6024209</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Earth ; Image classification ; Image resolution ; Laboratories ; Remote sensing ; Satellites</subject><ispartof>2011 International Symposium on Image and Data Fusion, 2011, p.1-4</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/6024209$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6024209$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liang Zhai</creatorcontrib><creatorcontrib>Jinping Sun</creatorcontrib><creatorcontrib>Wenhan Xie</creatorcontrib><creatorcontrib>Gang Yang</creatorcontrib><creatorcontrib>Huiyong Sang</creatorcontrib><creatorcontrib>Yi Jia</creatorcontrib><title>Land Cover Mapping with Landsat Data: The Tasmania Case Study</title><title>2011 International Symposium on Image and Data Fusion</title><addtitle>ISIDF</addtitle><description>The aim of this study is to map Tasmania land cover with the mapping unit of 30m and make preparations for future large area mapping. Tasmania was selected as the study area, which is an Australian island and state. The proposed method could reduce both the conflicts in overlap areas, and the requirements on data acquisition date. The overall accuracy and Kappa coefficient for 2000 year image classification result are 75.50% and 0.7175, while 79.80% and 0.7656 for 2010 year.</description><subject>Accuracy</subject><subject>Earth</subject><subject>Image classification</subject><subject>Image resolution</subject><subject>Laboratories</subject><subject>Remote sensing</subject><subject>Satellites</subject><isbn>9781457709678</isbn><isbn>1457709678</isbn><isbn>1457709686</isbn><isbn>9781457709685</isbn><isbn>1457709694</isbn><isbn>9781457709692</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8tKw0AYhUdEUGteQDfzAon_3DOCC0mtBiIukn3551IbsTFkotK3V7GezeE7iw8OIZcMCsbAXtdtvVwVHBgrNHDJwR6RcyaVMWB1qY9JZk35z6Y8JVlKr_ATrS1ncEZuGxwCrd4_40SfcBz74YV-9fOW_u4JZ7rEGW9ot420w7TDoUdaYYq0nT_C_oKcbPAtxezQC9Ku7rvqMW-eH-rqrsl7C3PueHAhcFRgFDhrlWdCeAMmgA9aSia994aLIJXeKNQOPHJhXfTMlZaJBbn6s_YxxvU49Tuc9uvDX_ENopJHwg</recordid><startdate>201108</startdate><enddate>201108</enddate><creator>Liang Zhai</creator><creator>Jinping Sun</creator><creator>Wenhan Xie</creator><creator>Gang Yang</creator><creator>Huiyong Sang</creator><creator>Yi Jia</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201108</creationdate><title>Land Cover Mapping with Landsat Data: The Tasmania Case Study</title><author>Liang Zhai ; Jinping Sun ; Wenhan Xie ; Gang Yang ; Huiyong Sang ; Yi Jia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-b2dbdd2a50750b995c133c707d0cd64414ccc723d456f5a6b0ca239bec1b8913</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Earth</topic><topic>Image classification</topic><topic>Image resolution</topic><topic>Laboratories</topic><topic>Remote sensing</topic><topic>Satellites</topic><toplevel>online_resources</toplevel><creatorcontrib>Liang Zhai</creatorcontrib><creatorcontrib>Jinping Sun</creatorcontrib><creatorcontrib>Wenhan Xie</creatorcontrib><creatorcontrib>Gang Yang</creatorcontrib><creatorcontrib>Huiyong Sang</creatorcontrib><creatorcontrib>Yi Jia</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>Liang Zhai</au><au>Jinping Sun</au><au>Wenhan Xie</au><au>Gang Yang</au><au>Huiyong Sang</au><au>Yi Jia</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Land Cover Mapping with Landsat Data: The Tasmania Case Study</atitle><btitle>2011 International Symposium on Image and Data Fusion</btitle><stitle>ISIDF</stitle><date>2011-08</date><risdate>2011</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>9781457709678</isbn><isbn>1457709678</isbn><eisbn>1457709686</eisbn><eisbn>9781457709685</eisbn><eisbn>1457709694</eisbn><eisbn>9781457709692</eisbn><abstract>The aim of this study is to map Tasmania land cover with the mapping unit of 30m and make preparations for future large area mapping. Tasmania was selected as the study area, which is an Australian island and state. The proposed method could reduce both the conflicts in overlap areas, and the requirements on data acquisition date. The overall accuracy and Kappa coefficient for 2000 year image classification result are 75.50% and 0.7175, while 79.80% and 0.7656 for 2010 year.</abstract><pub>IEEE</pub><doi>10.1109/ISIDF.2011.6024209</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781457709678
ispartof 2011 International Symposium on Image and Data Fusion, 2011, p.1-4
issn
language eng
recordid cdi_ieee_primary_6024209
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Earth
Image classification
Image resolution
Laboratories
Remote sensing
Satellites
title Land Cover Mapping with Landsat Data: The Tasmania Case Study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T17%3A58%3A27IST&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=Land%20Cover%20Mapping%20with%20Landsat%20Data:%20The%20Tasmania%20Case%20Study&rft.btitle=2011%20International%20Symposium%20on%20Image%20and%20Data%20Fusion&rft.au=Liang%20Zhai&rft.date=2011-08&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.isbn=9781457709678&rft.isbn_list=1457709678&rft_id=info:doi/10.1109/ISIDF.2011.6024209&rft_dat=%3Cieee_6IE%3E6024209%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1457709686&rft.eisbn_list=9781457709685&rft.eisbn_list=1457709694&rft.eisbn_list=9781457709692&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6024209&rfr_iscdi=true