| 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/3BT7T8P |
| Repositório | sid.inpe.br/mtc-m18/2012/05.16.20.05 |
| Última Atualização | 2012:05.16.20.05.02 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/mtc-m18/2012/05.16.20.05.02 |
| Última Atualização dos Metadados | 2018:06.04.03.55.39 (UTC) administrator |
| ISBN | 978-85-17-00059-1 |
| Chave de Citação | ReginattoMaKoHiGrCoCa:2012:SHApId |
| Título | SHALSTAB application to identify the susceptible areas of shallow landslides in Cunha river watershed, Rio dos Cedros City, SC, Brazil  |
| Formato | On-line. |
| Ano | 2012 |
| Data de Acesso | 23 maio 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 310 KiB |
| 2. Contextualização | |
| Autor | 1 Reginatto, Gisele 2 Maccarini, Marciano 3 Kobiyama, Masato 4 Higashi, Rafael 5 Grando, Ângela 6 Corseuil, Cláudia 7 Caramez, Manolo |
| Endereço de e-Mail do Autor | 1 gireginatto@gmail.com 2 ecv1mac@ecv.ufsc.br 3 kobiyama@ens.ufsc.br 4 rrhigashi@gmail.com 5 angela.grando@gmail.com 6 cwcorseuil@hotmail.com 7 manolocaramez@gmail.com |
| 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 | 108-113 |
| Título do Livro | Proceedings |
| Organização | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Histórico (UTC) | 2012-05-16 20:05:02 :: wanderf@dsr.inpe.br -> administrator :: 2012-05-30 13:44:14 :: administrator -> wanderf@dsr.inpe.br :: 2012 2012-06-01 15:12:44 :: wanderf@dsr.inpe.br -> marciana :: 2012 2012-06-12 14:28:24 :: marciana -> seki@dsr.inpe.br :: 2012 2012-06-13 15:55:30 :: seki@dsr.inpe.br -> marciana :: 2012 2012-06-14 15:03:56 :: marciana -> administrator :: 2012 2018-06-04 03:55:39 :: administrator -> :: 2012 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Palavras-Chave | Natural Disasters Landslides SHALSTAB GIS Modeling Previse and Sensor ASTER |
| Resumo | The increased occurrence of natural disasters and the impacts they have caused society, especially in developing countries draws the attention of researchers so that mitigation measures consistent with the economic realities of the countries affected are adopted. Brazil has been suffering from disasters often associated with hydrological conditions, among which are the mass movements. The prediction of these phenomena is not a simple task, however, computer modeling combined with remote sensing techniques can aid in the understanding. This work employs the computational model SHALSTAB to identify areas susceptible to mass movements in the Cunha River Watershed in the municipality of Rio dos Cedros, in the state of Santa Catarina, Brazil. These areas were characterized in relation to soil use, occupation and the slope of the land by means of satellite images and planialtimetric maps. The methodology consisted of; mapping the scars resulting from movements in the study area, the determination of physical parameters and soil resistance, the development of a digital terrain model and its derivatives (slope and contribution area) and in the preparation of the map use and land cover. This study obtained data consistent with the reality of the area, where there is an evident predominance of native forest in the basin and in unstable areas, especially present in slopes between 20 ° and 30 °, and mapped the movements considered in this use as natural origin. Thus, this methodology can be applied in other regions and serve as an aid for public agencies to avoid these disasters. |
| Área | SRE |
| Tipo | Geomorphological Hazards |
| 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/3BT7T8P |
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP8W/3BT7T8P |
| Idioma | en |
| Arquivo Alvo | 034.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 |