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Article: Landslide inventory using image fusion techniques in Brazil
Title | Landslide inventory using image fusion techniques in Brazil |
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Authors | |
Keywords | Brazil Image fusion Inventory map Landslide |
Issue Date | 2009 |
Citation | International Journal of Applied Earth Observation and Geoinformation, 2009, v. 11, n. 3, p. 181-191 How to Cite? |
Abstract | The present work aims to assess the accuracy of six fusion techniques (Brovey, IHS, HSV, PCA, WTYO and WTVE) in order to compile landslide inventories using orbital images (ETM+ and PAN HRV). The study area is characterized by steep terrain and dense forest in Caraguatatuba, São Paulo State, Brazil. In terms of spatial quality, the Wavelet Transform technique provided the best results, presenting correlations above 90%. As for spectral quality, the best results were obtained with the IHS fusion. Based on the results, it may be concluded that the IHS is the best technique for preserving spatial and spectral information from the original images, so as to more clearly identify landslide scars. However, it was still not possible to typify the landslides from remote sensing data. Nonetheless, it is believed that image fusion techniques adequately met expectations in terms of their capacity to identify landslide for the creation of an inventory for the studied area. © 2009 Elsevier B.V. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/309186 |
ISSN | 2023 Impact Factor: 7.6 2023 SCImago Journal Rankings: 2.108 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Marcelino, Emerson Vieira | - |
dc.contributor.author | Formaggio, Antonio Roberto | - |
dc.contributor.author | Maeda, Eduardo Eiji | - |
dc.date.accessioned | 2021-12-15T03:59:42Z | - |
dc.date.available | 2021-12-15T03:59:42Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | International Journal of Applied Earth Observation and Geoinformation, 2009, v. 11, n. 3, p. 181-191 | - |
dc.identifier.issn | 1569-8432 | - |
dc.identifier.uri | http://hdl.handle.net/10722/309186 | - |
dc.description.abstract | The present work aims to assess the accuracy of six fusion techniques (Brovey, IHS, HSV, PCA, WTYO and WTVE) in order to compile landslide inventories using orbital images (ETM+ and PAN HRV). The study area is characterized by steep terrain and dense forest in Caraguatatuba, São Paulo State, Brazil. In terms of spatial quality, the Wavelet Transform technique provided the best results, presenting correlations above 90%. As for spectral quality, the best results were obtained with the IHS fusion. Based on the results, it may be concluded that the IHS is the best technique for preserving spatial and spectral information from the original images, so as to more clearly identify landslide scars. However, it was still not possible to typify the landslides from remote sensing data. Nonetheless, it is believed that image fusion techniques adequately met expectations in terms of their capacity to identify landslide for the creation of an inventory for the studied area. © 2009 Elsevier B.V. All rights reserved. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Applied Earth Observation and Geoinformation | - |
dc.subject | Brazil | - |
dc.subject | Image fusion | - |
dc.subject | Inventory map | - |
dc.subject | Landslide | - |
dc.title | Landslide inventory using image fusion techniques in Brazil | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jag.2009.01.003 | - |
dc.identifier.scopus | eid_2-s2.0-63749084158 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 181 | - |
dc.identifier.epage | 191 | - |
dc.identifier.isi | WOS:000265902500002 | - |