| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m16c.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP8W/3BTBB4P |
| Repositório | sid.inpe.br/mtc-m18/2012/05.17.14.41 |
| Última Atualização | 2012:05.17.14.41.55 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/mtc-m18/2012/05.17.14.41.55 |
| Última Atualização dos Metadados | 2018:06.04.03.55.40 (UTC) administrator |
| ISBN | 978-85-17-00059-1 |
| Chave de Citação | EeckhautKerlPoesHerv:2012:IdVeLa |
| Título | Identification of vegetated landslides using only a LiDAR-based Terrain Model and derivatives in an object-oriented environment  |
| Formato | On-line. |
| Ano | 2012 |
| Data de Acesso | 30 jun. 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 3213 KiB |
| 2. Contextualização | |
| Autor | 1 Eeckhaut, Miet Van Den 2 Kerle, Norman 3 Poesen, Jean 4 Hervás, Javier |
| Endereço de e-Mail do Autor | 1 miet.van-den-eeckhaut@jrc.ec.europa.eu 2 3 jean.poesen@ees.kuleuven.be 4 javier.hervas@jrc.ec.europa.eu |
| Editor | Feitosa, Raul Queiroz Costa, Gilson Alexandre Ostwald Pedro da Almeida, Cláudia Maria de Fonseca, Leila Maria Garcia Kux, Hermann Johann Heinrich |
| Endereço de e-Mail | wanderf@dsr.inpe.br |
| Nome do Evento | International Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA). |
| Localização do Evento | Rio de Janeiro |
| Data | May 7-9, 2012 |
| Editora (Publisher) | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Cidade da Editora | São José dos Campos |
| Páginas | 211-216 |
| Título do Livro | Proceedings |
| Organização | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Histórico (UTC) | 2012-05-17 14:41:55 :: wanderf@dsr.inpe.br -> administrator :: 2012-05-30 13:44:51 :: administrator -> wanderf@dsr.inpe.br :: 2012 2012-06-01 15:12:44 :: wanderf@dsr.inpe.br -> marciana :: 2012 2012-06-12 14:28:25 :: marciana -> seki@dsr.inpe.br :: 2012 2012-06-13 15:55:31 :: seki@dsr.inpe.br -> marciana :: 2012 2012-06-14 15:03:56 :: marciana -> administrator :: 2012 2018-06-04 03:55:40 :: administrator -> :: 2012 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Palavras-Chave | Landslide identification Dense vegetation Conceptualisation LiDAR Segmentation Classification Geomorphometry Belgium Support vector machines |
| Resumo | Light Detection and Ranging (LiDAR) and its derivative products have become a powerful tool in landslide research, particularly for landslide identification and landslide inventory mapping. In contrast to the many studies that use expert-based analysis of LiDAR derivatives to identify landslides only few studies, all pixel-based, have attempted to develop computer-aided methods for extracting landslides from LiDAR. It has not been tested whether object-oriented analysis (OOA) could be an alternative. Therefore, this study investigates the application of OOA using 2 m resolution slope gradient, roughness, curvature, and openness maps calculated from single pulse LiDAR data, without the support of any spectral information. More specifically, the focus is on the possible use of these derivatives for segmentation and classification of slow-moving landslides in densely vegetated areas, where spectral data do not facilitate accurate landslide identification. A semi-quantitative method based on support vector machines (SVM) was developed for a test area in the Flemish Ardennes (Belgium). The procedure was then applied without further modification to a validation area in the same region. The results show that OOA using LiDAR derivatives allows recognition and characterization of profound morphologic properties of deep-seated landslides on soil-covered hillslopes such as those in the Flemish Ardennes, because approximately 70% of the landslides of an expert-based inventory were also included in the object-oriented inventory. For mountain areas with bedrock, on the other hand, it is expected more difficult to create a transferable model. |
| Área | SRE |
| Tipo | LiDAR and SAR Applications |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP8W/3BTBB4P |
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP8W/3BTBB4P |
| Idioma | en |
| Arquivo Alvo | 061.pdf |
| Grupo de Usuários | administrator wanderf@dsr.inpe.br |
| Visibilidade | shown |
| 5. Fontes relacionadas | |
| Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
| Acervo Hospedeiro | sid.inpe.br/mtc-m18@80/2008/03.17.15.17 |
| 6. Notas | |
| Campos Vazios | affiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume |