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Article: Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River
Title | Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River |
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Authors | |
Issue Date | 1998 |
Publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01431161.asp |
Citation | International Journal Of Remote Sensing, 1998, v. 19 n. 8, p. 1501-1518 How to Cite? |
Abstract | The Pearl River Delta is experiencing very fast urban growth in recent years which has caused rapid loss of the valuable agricultural land in this fertile region. There is a great need to monitor the rapid urban expansion using remote sensing for urban planning and management purposes. However, it has been well recognized that there is significant over-estimation of land use change in using multi-temporal images for change detection because of inadequate creation of classification signatures. This paper presents a principal component analysis of stacked multi-temporal images method to reduce such errors. The study demonstrates that this method can reduce errors in change detection using multitemporal images and provide a very useful way in monitoring rapid land use changes and urban expansion in the Pearl River Delta and other parts of the world. © 1998 Taylor & Francis Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/176290 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.776 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Yeh, AGO | en_US |
dc.date.accessioned | 2012-11-26T09:08:14Z | - |
dc.date.available | 2012-11-26T09:08:14Z | - |
dc.date.issued | 1998 | en_US |
dc.identifier.citation | International Journal Of Remote Sensing, 1998, v. 19 n. 8, p. 1501-1518 | en_US |
dc.identifier.issn | 0143-1161 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/176290 | - |
dc.description.abstract | The Pearl River Delta is experiencing very fast urban growth in recent years which has caused rapid loss of the valuable agricultural land in this fertile region. There is a great need to monitor the rapid urban expansion using remote sensing for urban planning and management purposes. However, it has been well recognized that there is significant over-estimation of land use change in using multi-temporal images for change detection because of inadequate creation of classification signatures. This paper presents a principal component analysis of stacked multi-temporal images method to reduce such errors. The study demonstrates that this method can reduce errors in change detection using multitemporal images and provide a very useful way in monitoring rapid land use changes and urban expansion in the Pearl River Delta and other parts of the world. © 1998 Taylor & Francis Ltd. | en_US |
dc.language | eng | en_US |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01431161.asp | en_US |
dc.relation.ispartof | International Journal of Remote Sensing | en_US |
dc.title | Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | en_US |
dc.identifier.authority | Yeh, AGO=rp01033 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1080/014311698215315 | - |
dc.identifier.scopus | eid_2-s2.0-3643128071 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-3643128071&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 19 | en_US |
dc.identifier.issue | 8 | en_US |
dc.identifier.spage | 1501 | en_US |
dc.identifier.epage | 1518 | en_US |
dc.identifier.isi | WOS:000074435500004 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Yeh, AGO=7103069369 | en_US |
dc.identifier.issnl | 0143-1161 | - |