CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL
<p>The remote sensing has been widely used in studies involving records and monitoring landslides, also, this tool is widely used in mapping areas of geological risk. In this paper, two remote sensing methodologies were used to identify, characterize and catalog scars generated along the Estra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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União da Geomorfologia Brasileira
2021-04-01
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| Series: | Revista Brasileira de Geomorfologia |
| Subjects: | |
| Online Access: | http://www.lsie.unb.br/rbg/index.php/rbg/article/view/1937 |
| _version_ | 1797229932449890304 |
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| author | Denise de Fátima Santos da Silva Rosyelle Cristina Corteletti Roberto Almeida Cunha Filgueiras Allan Erlikhman Medeiros Santos |
| author_facet | Denise de Fátima Santos da Silva Rosyelle Cristina Corteletti Roberto Almeida Cunha Filgueiras Allan Erlikhman Medeiros Santos |
| author_sort | Denise de Fátima Santos da Silva |
| collection | DOAJ |
| description | <p>The remote sensing has been widely used in studies involving records and monitoring landslides, also, this tool is widely used in mapping areas of geological risk. In this paper, two remote sensing methodologies were used to identify, characterize and catalog scars generated along the Estrada de Ferro Vitória-Minas (EFVM). The first methodology allowed to estimate the area and volume of landslides scars of EFVM through the images available in Google Earth Pro. The second methodology used a drone to capture the parameters in the field of landslides scars. From the obtained parameters it was possible to compare the estimates of areas and volumes of landslides by drone image with the data obtained by images of Google Earth Pro and to test the applicability of both methods. The results obtained showed estimates scars areas with correlation of 0.92 for the two methodologies. The volume estimates presented a correlation of 0.8; with underestimation of the results obtained by Google Earth Pro.</p> |
| first_indexed | 2024-04-24T15:20:27Z |
| format | Article |
| id | doaj.art-94767bedde7e47febf89a1c24d922486 |
| institution | Directory Open Access Journal |
| issn | 1519-1540 2236-5664 |
| language | English |
| last_indexed | 2024-04-24T15:20:27Z |
| publishDate | 2021-04-01 |
| publisher | União da Geomorfologia Brasileira |
| record_format | Article |
| series | Revista Brasileira de Geomorfologia |
| spelling | doaj.art-94767bedde7e47febf89a1c24d9224862024-04-02T08:13:25ZengUnião da Geomorfologia BrasileiraRevista Brasileira de Geomorfologia1519-15402236-56642021-04-0122210.20502/rbg.v22i2.1937626CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZILDenise de Fátima Santos da Silva0Rosyelle Cristina Corteletti1Roberto Almeida Cunha Filgueiras2Allan Erlikhman Medeiros Santos3Universidade Federal de Ouro Preto Universidade Federal de Minas GeraisUniversidade Federal de Ouro Preto - Núcleo de Geotecnia da Escola de MinasGERPRO – Gerenciamento de Projetos S/C LtdaCentro Federal de Educação Tecnológica de Minas Gerais - Unidade Araxá Departamento de Minas e Construção Civil (DMCAX)<p>The remote sensing has been widely used in studies involving records and monitoring landslides, also, this tool is widely used in mapping areas of geological risk. In this paper, two remote sensing methodologies were used to identify, characterize and catalog scars generated along the Estrada de Ferro Vitória-Minas (EFVM). The first methodology allowed to estimate the area and volume of landslides scars of EFVM through the images available in Google Earth Pro. The second methodology used a drone to capture the parameters in the field of landslides scars. From the obtained parameters it was possible to compare the estimates of areas and volumes of landslides by drone image with the data obtained by images of Google Earth Pro and to test the applicability of both methods. The results obtained showed estimates scars areas with correlation of 0.92 for the two methodologies. The volume estimates presented a correlation of 0.8; with underestimation of the results obtained by Google Earth Pro.</p>http://www.lsie.unb.br/rbg/index.php/rbg/article/view/1937landslidesgoogle earth prodrone |
| spellingShingle | Denise de Fátima Santos da Silva Rosyelle Cristina Corteletti Roberto Almeida Cunha Filgueiras Allan Erlikhman Medeiros Santos CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL Revista Brasileira de Geomorfologia landslides google earth pro drone |
| title | CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL |
| title_full | CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL |
| title_fullStr | CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL |
| title_full_unstemmed | CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL |
| title_short | CORRELATIONS BETWEEN LANDSLIDE SCARS PARAMETERS USING REMOTE SENSING METHODS IN THE ESTRADA DE FERRO VITÓRIA-MINAS, SOUTHEASTERN BRAZIL |
| title_sort | correlations between landslide scars parameters using remote sensing methods in the estrada de ferro vitoria minas southeastern brazil |
| topic | landslides google earth pro drone |
| url | http://www.lsie.unb.br/rbg/index.php/rbg/article/view/1937 |
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