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...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
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 |