Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model

Detalhes bibliográficos
Autor(a) principal: Quina, Robson Rodrigues
Data de Publicação: 2020
Outros Autores: Costa, Rômulo Montan, Sanches , Fabio de Oliveira, Gomes , Francisco Carlos Moreira, Zaidan , Ricardo Tavares
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/11149
Resumo: The main objective of the study is to analyze and measure the distribution of the Sliding Stability Indices, applying the SINMAP model, using two altimetry products: One from the PALSAR / ALOS sensor and the other from the LIDAR sensor, in the same study area. We sought to evaluate whether the PALSAR sensor product presents a satisfactory and acceptable response for its application in landslide prediction models, in locations that do not have a database, lacking information. It was found that despite the PALSAR product, it does not present the same precision and detail as the LIDAR results, both have several similarities. However, the evaluation of the homogeneity of the data by applying the Coefficient and Determination (R²) and the Pearson Correlation Coefficient (r), as well as the errors using the Mean Absolute Error (EMA), Relative Mean Error (EMR ) and the mean square error (REQM), showed that both products show strong similarity. However, it was considered that the existing DEM in PALSAR / ALOS presents acceptable and convincing results to be applied in the identification of areas susceptible to landslides, in places that do not have a detailed database.
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spelling Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap modelComparación de productos altimétricos de los sensores Palsar/Alos y Lidar, a partir del modelo SinmapComparação de produtos altimétricos dos sensores Palsar/Alos e Lidar, a partir do modelo SinmapModelagemMDEEscorregamentos.ModeladoMDEDeslizamientos.ModelingDEMLandslides.The main objective of the study is to analyze and measure the distribution of the Sliding Stability Indices, applying the SINMAP model, using two altimetry products: One from the PALSAR / ALOS sensor and the other from the LIDAR sensor, in the same study area. We sought to evaluate whether the PALSAR sensor product presents a satisfactory and acceptable response for its application in landslide prediction models, in locations that do not have a database, lacking information. It was found that despite the PALSAR product, it does not present the same precision and detail as the LIDAR results, both have several similarities. However, the evaluation of the homogeneity of the data by applying the Coefficient and Determination (R²) and the Pearson Correlation Coefficient (r), as well as the errors using the Mean Absolute Error (EMA), Relative Mean Error (EMR ) and the mean square error (REQM), showed that both products show strong similarity. However, it was considered that the existing DEM in PALSAR / ALOS presents acceptable and convincing results to be applied in the identification of areas susceptible to landslides, in places that do not have a detailed database.El objetivo principal del estudio es analizar y medir la distribución de los Índices de Estabilidad de Deslizamiento, aplicando el modelo SINMAP, utilizando dos productos altimétricos: Uno proveniente del sensor PALSAR / ALOS y otro originario del sensor LIDAR, en una misma área de estudio. Se buscó evaluar si el producto del sensor PALSAR, presenta una respuesta satisfactoria y aceptable para su aplicación en modelos de predicción de deslizamientos, en localizaciones que no cuentan con base de datos, carentes de información. Se encontró que a pesar del producto PALSAR, no presenta la misma precisión y detalle que los resultados del LIDAR, ambos tienen varias similitudes. Sin embargo, la evaluación de la homogeneidad de los datos mediante la aplicación del Coeficiente y Determinación (R²) y el Coeficiente de Correlación de Pearson (r), así como los errores mediante el Error Absoluto Medio (EMA), Error Medio Relativo (EMR) y el error cuadrático medio (REQM), demostraron que ambos productos muestran una fuerte similitud. Sin embargo, se consideró que el MDE existente en PALSAR / ALOS, presenta resultados aceptables y convincentes para ser aplicados en la identificación de áreas susceptibles a deslizamientos, en lugares que no cuentan con base de datos detallado.O estudo tem como principal objetivo analisar e mensurar a distribuição de Índices de Estabilidade a Escorregamentos, a partir da aplicação do modelo SINMAP, mediante o uso de dois produtos altimétricos: um proveniente do sensor PALSAR/ALOS e outro originado do sensor LIDAR, em uma mesma área de estudo. Buscou-se avaliar se o produto do sensor PALSAR, apresenta uma resposta satisfatória e aceitável para a aplicação em modelos de predição de escorregamentos, em localidades que não possuam base de dados, carentes de informações. Foi constatado que apesar do produto PALSAR, não apresentar a mesma acurácia e detalhamento do LIDAR, ambos possuem diversas similaridades. Contudo, a avaliação da homogeneidade de dados por meio da aplicação do Coeficiente e Determinação (R²) e do Coeficiente de Correlação de Pearson (r), bem como dos erros por meio do Erro Médio Absoluto (EMA), Erro Médio Relativo (EMR) e a Raiz do Erro Quadrático Médio (REQM), demonstraram que ambos os produtos apresentam forte similaridade. Contudo, considerou-se que o MDE existente no PALSAR/ALOS, apresenta resultados aceitáveis e convincentes de serem aplicados na identificação de áreas susceptíveis a escorregamentos, em locais que não dispõe de uma base de dados.Research, Society and Development2020-12-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1114910.33448/rsd-v9i12.11149Research, Society and Development; Vol. 9 No. 12; e27391211149Research, Society and Development; Vol. 9 Núm. 12; e27391211149Research, Society and Development; v. 9 n. 12; e273912111492525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/11149/9918Copyright (c) 2020 Robson Rodrigues Quina; Rômulo Montan Costa; Fabio de Oliveira Sanches ; Francisco Carlos Moreira Gomes ; Ricardo Tavares Zaidan https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessQuina, Robson Rodrigues Costa, Rômulo Montan Sanches , Fabio de Oliveira Gomes , Francisco Carlos Moreira Zaidan , Ricardo Tavares 2020-12-30T23:32:22Zoai:ojs.pkp.sfu.ca:article/11149Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:03.350758Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
Comparación de productos altimétricos de los sensores Palsar/Alos y Lidar, a partir del modelo Sinmap
Comparação de produtos altimétricos dos sensores Palsar/Alos e Lidar, a partir do modelo Sinmap
title Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
spellingShingle Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
Quina, Robson Rodrigues
Modelagem
MDE
Escorregamentos.
Modelado
MDE
Deslizamientos.
Modeling
DEM
Landslides.
title_short Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
title_full Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
title_fullStr Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
title_full_unstemmed Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
title_sort Comparison of altimetric products of Palsar/Alos and Lidar sensors from the Sinmap model
author Quina, Robson Rodrigues
author_facet Quina, Robson Rodrigues
Costa, Rômulo Montan
Sanches , Fabio de Oliveira
Gomes , Francisco Carlos Moreira
Zaidan , Ricardo Tavares
author_role author
author2 Costa, Rômulo Montan
Sanches , Fabio de Oliveira
Gomes , Francisco Carlos Moreira
Zaidan , Ricardo Tavares
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Quina, Robson Rodrigues
Costa, Rômulo Montan
Sanches , Fabio de Oliveira
Gomes , Francisco Carlos Moreira
Zaidan , Ricardo Tavares
dc.subject.por.fl_str_mv Modelagem
MDE
Escorregamentos.
Modelado
MDE
Deslizamientos.
Modeling
DEM
Landslides.
topic Modelagem
MDE
Escorregamentos.
Modelado
MDE
Deslizamientos.
Modeling
DEM
Landslides.
description The main objective of the study is to analyze and measure the distribution of the Sliding Stability Indices, applying the SINMAP model, using two altimetry products: One from the PALSAR / ALOS sensor and the other from the LIDAR sensor, in the same study area. We sought to evaluate whether the PALSAR sensor product presents a satisfactory and acceptable response for its application in landslide prediction models, in locations that do not have a database, lacking information. It was found that despite the PALSAR product, it does not present the same precision and detail as the LIDAR results, both have several similarities. However, the evaluation of the homogeneity of the data by applying the Coefficient and Determination (R²) and the Pearson Correlation Coefficient (r), as well as the errors using the Mean Absolute Error (EMA), Relative Mean Error (EMR ) and the mean square error (REQM), showed that both products show strong similarity. However, it was considered that the existing DEM in PALSAR / ALOS presents acceptable and convincing results to be applied in the identification of areas susceptible to landslides, in places that do not have a detailed database.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/11149
10.33448/rsd-v9i12.11149
url https://rsdjournal.org/index.php/rsd/article/view/11149
identifier_str_mv 10.33448/rsd-v9i12.11149
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/11149/9918
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 9 No. 12; e27391211149
Research, Society and Development; Vol. 9 Núm. 12; e27391211149
Research, Society and Development; v. 9 n. 12; e27391211149
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052666682015744

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