A review of assessing the accuracy of classifications of remotely sensed data

This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Remote sensing of environment 1991-07, Vol.37 (1), p.35-46
1. Verfasser: Congalton, Russell G.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 46
container_issue 1
container_start_page 35
container_title Remote sensing of environment
container_volume 37
creator Congalton, Russell G.
description This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on the use of an error matrix or contingency table. Example matrices and results of the analysis are presented. Future trends including the need for assessment of other spatial data are also discussed.
doi_str_mv 10.1016/0034-4257(91)90048-B
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_25418855</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>003442579190048B</els_id><sourcerecordid>16024016</sourcerecordid><originalsourceid>FETCH-LOGICAL-c512t-7711a58fc5bc4a1eaf5f72fc609e5aa86e7da945761d9d20ee839c368599ee913</originalsourceid><addsrcrecordid>eNqFkE1v1DAQhi1EJZaWf9BDDgjBIeBJ7Ni-ILVV-ZBa9QJnazoZg1E2KZ5s0f57km7VI5xGmnned6RHqVPQ70FD90Hr1tSmse5tgHdBa-Pr82dqA96FWjttnqvNE_JCvRT5pTVY72Cjrs-qwveZ_1RTqlCERfL4o5p_coVEu4K0Xy80LLecMuGcp1HWVeHtNPOwr4RH4b7qccYTdZRwEH71OI_V90-X3y6-1Fc3n79enF3VZKGZa-cA0PpE9pYMAmOyyTWJOh3YIvqOXY_BWNdBH_pGM_s2UNt5GwJzgPZYvTn03pXp945ljtssxMOAI087iY014L21_wWh041ZFC6gOYBUJpHCKd6VvMWyj6DjKjmuBuNqMAaID5Lj-RJ7_diPQjikgiNlecraFox3zYJ9PGC8SFlslyiUeSTuc2GaYz_lf__5C1M_kAk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>16024016</pqid></control><display><type>article</type><title>A review of assessing the accuracy of classifications of remotely sensed data</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Congalton, Russell G.</creator><creatorcontrib>Congalton, Russell G.</creatorcontrib><description>This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on the use of an error matrix or contingency table. Example matrices and results of the analysis are presented. Future trends including the need for assessment of other spatial data are also discussed.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/0034-4257(91)90048-B</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Fundamental and applied biological sciences. Psychology ; Generalities. Biometrics, experimentation. Remote sensing ; Remote sensing</subject><ispartof>Remote sensing of environment, 1991-07, Vol.37 (1), p.35-46</ispartof><rights>1991</rights><rights>1992 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-7711a58fc5bc4a1eaf5f72fc609e5aa86e7da945761d9d20ee839c368599ee913</citedby><cites>FETCH-LOGICAL-c512t-7711a58fc5bc4a1eaf5f72fc609e5aa86e7da945761d9d20ee839c368599ee913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/0034-4257(91)90048-B$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27911,27912,45982</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=5314872$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Congalton, Russell G.</creatorcontrib><title>A review of assessing the accuracy of classifications of remotely sensed data</title><title>Remote sensing of environment</title><description>This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on the use of an error matrix or contingency table. Example matrices and results of the analysis are presented. Future trends including the need for assessment of other spatial data are also discussed.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Generalities. Biometrics, experimentation. Remote sensing</subject><subject>Remote sensing</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNqFkE1v1DAQhi1EJZaWf9BDDgjBIeBJ7Ni-ILVV-ZBa9QJnazoZg1E2KZ5s0f57km7VI5xGmnned6RHqVPQ70FD90Hr1tSmse5tgHdBa-Pr82dqA96FWjttnqvNE_JCvRT5pTVY72Cjrs-qwveZ_1RTqlCERfL4o5p_coVEu4K0Xy80LLecMuGcp1HWVeHtNPOwr4RH4b7qccYTdZRwEH71OI_V90-X3y6-1Fc3n79enF3VZKGZa-cA0PpE9pYMAmOyyTWJOh3YIvqOXY_BWNdBH_pGM_s2UNt5GwJzgPZYvTn03pXp945ljtssxMOAI087iY014L21_wWh041ZFC6gOYBUJpHCKd6VvMWyj6DjKjmuBuNqMAaID5Lj-RJ7_diPQjikgiNlecraFox3zYJ9PGC8SFlslyiUeSTuc2GaYz_lf__5C1M_kAk</recordid><startdate>19910701</startdate><enddate>19910701</enddate><creator>Congalton, Russell G.</creator><general>Elsevier Inc</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>19910701</creationdate><title>A review of assessing the accuracy of classifications of remotely sensed data</title><author>Congalton, Russell G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-7711a58fc5bc4a1eaf5f72fc609e5aa86e7da945761d9d20ee839c368599ee913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Generalities. Biometrics, experimentation. Remote sensing</topic><topic>Remote sensing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Congalton, Russell G.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Congalton, Russell G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A review of assessing the accuracy of classifications of remotely sensed data</atitle><jtitle>Remote sensing of environment</jtitle><date>1991-07-01</date><risdate>1991</risdate><volume>37</volume><issue>1</issue><spage>35</spage><epage>46</epage><pages>35-46</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>This paper reviews the necessary considerations and available techniques for assessing the accuracy of remotely sensed data. Included in this review are the classification system, the sampling scheme, the sample size, spatial autocorrelation, and the assessment techniques. All analysis is based on the use of an error matrix or contingency table. Example matrices and results of the analysis are presented. Future trends including the need for assessment of other spatial data are also discussed.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/0034-4257(91)90048-B</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0034-4257
ispartof Remote sensing of environment, 1991-07, Vol.37 (1), p.35-46
issn 0034-4257
1879-0704
language eng
recordid cdi_proquest_miscellaneous_25418855
source ScienceDirect Journals (5 years ago - present)
subjects Agronomy. Soil science and plant productions
Biological and medical sciences
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
Remote sensing
title A review of assessing the accuracy of classifications of remotely sensed data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T13%3A55%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20review%20of%20assessing%20the%20accuracy%20of%20classifications%20of%20remotely%20sensed%20data&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Congalton,%20Russell%20G.&rft.date=1991-07-01&rft.volume=37&rft.issue=1&rft.spage=35&rft.epage=46&rft.pages=35-46&rft.issn=0034-4257&rft.eissn=1879-0704&rft.coden=RSEEA7&rft_id=info:doi/10.1016/0034-4257(91)90048-B&rft_dat=%3Cproquest_cross%3E16024016%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=16024016&rft_id=info:pmid/&rft_els_id=003442579190048B&rfr_iscdi=true