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Article: Application of IKONOS image in detection of loess landslide at Heifangtai Loess Plateau, China
Title | Application of IKONOS image in detection of loess landslide at Heifangtai Loess Plateau, China |
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Authors | |
Keywords | IKONOS image Loess landslide Agricultural irrigation Heifangtai Loess Plateau |
Issue Date | 2009 |
Publisher | Science Press (科學出版社). The Journal's web site is located at http://www.jors.cn |
Citation | Journal of Remote Sensing, 2009, v. 13 n. 4, p. 723-728 How to Cite? 遙感學報, 2009, v. 13 n. 4, p. 723-728 How to Cite? |
Abstract | The Heifangtai loess Plateau, which has a total area of 13km2, is located in Gansu Province, China. The groundwater table in this loess plateau has been significantly raised and caused many loess landslides. In this paper, IKONOS image was used as the remote sensing date source in detection of the loess landslide. Various methods, including IHS, Brovey, PCA and Multiplative transformation have been used for fusing IKONOS images. Analysis of this paper is on the basis of the PCA transformation fused image. And the image can provide more abundant textural and spectral information for interpretation. Based on comprehensive analysis of geological conditions and the fused image features of the study area, the fused IKONOS image will be well applied in the classification of loess landslide and mechanism analysis, identification of landslide boundary and phase-relationships, spatial distribution analysis and statistics of landslide characteristic parameters. |
Persistent Identifier | http://hdl.handle.net/10722/71404 |
ISSN | 2023 SCImago Journal Rankings: 0.521 |
DC Field | Value | Language |
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dc.contributor.author | Xu, L | en_HK |
dc.contributor.author | Dai, FC | en_HK |
dc.contributor.author | Kwong, AKL | en_HK |
dc.contributor.author | Min, H | en_HK |
dc.contributor.author | Xu, C | en_HK |
dc.date.accessioned | 2010-09-06T06:31:41Z | - |
dc.date.available | 2010-09-06T06:31:41Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Journal of Remote Sensing, 2009, v. 13 n. 4, p. 723-728 | en_HK |
dc.identifier.citation | 遙感學報, 2009, v. 13 n. 4, p. 723-728 | - |
dc.identifier.issn | 1007-4619 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/71404 | - |
dc.description.abstract | The Heifangtai loess Plateau, which has a total area of 13km2, is located in Gansu Province, China. The groundwater table in this loess plateau has been significantly raised and caused many loess landslides. In this paper, IKONOS image was used as the remote sensing date source in detection of the loess landslide. Various methods, including IHS, Brovey, PCA and Multiplative transformation have been used for fusing IKONOS images. Analysis of this paper is on the basis of the PCA transformation fused image. And the image can provide more abundant textural and spectral information for interpretation. Based on comprehensive analysis of geological conditions and the fused image features of the study area, the fused IKONOS image will be well applied in the classification of loess landslide and mechanism analysis, identification of landslide boundary and phase-relationships, spatial distribution analysis and statistics of landslide characteristic parameters. | - |
dc.language | eng | en_HK |
dc.publisher | Science Press (科學出版社). The Journal's web site is located at http://www.jors.cn | en_HK |
dc.relation.ispartof | Journal of Remote Sensing | en_HK |
dc.relation.ispartof | 遙感學報 | - |
dc.subject | IKONOS image | - |
dc.subject | Loess landslide | - |
dc.subject | Agricultural irrigation | - |
dc.subject | Heifangtai Loess Plateau | - |
dc.title | Application of IKONOS image in detection of loess landslide at Heifangtai Loess Plateau, China | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Kwong, AKL: kwongakl@hkucc.hku.hk | en_HK |
dc.identifier.authority | Kwong, AKL=rp00129 | en_HK |
dc.identifier.hkuros | 160210 | en_HK |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 723 | - |
dc.identifier.epage | 728 | - |
dc.publisher.place | Beijing (北京) | - |
dc.identifier.issnl | 1007-4619 | - |