Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica
The main objective of this paper is to predict soil attributes in unsampled areas using geostatistical models, By improving the prediction parameters of selected data, using environmental covariates characteristic of Antarctic ice free areas. In this study, 58 soil samples from a grid were collected...
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Research, Society and Development
2022
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Online Access: | https://rsdjournal.org/index.php/rsd/article/view/27542 https://doi.org/10.33448/rsd-v11i4.27542 |
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ftjrsd:oai:ojs.pkp.sfu.ca:article/27542 |
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openpolar |
institution |
Open Polar |
collection |
Research, Society and Development (E-Journal) |
op_collection_id |
ftjrsd |
language |
English |
topic |
Predictive covariates Interpolation Digital mapping Covariables predictivas Interpolación Mapeo digital Covariáveis preditivas Interpolação Mapeamento digital |
spellingShingle |
Predictive covariates Interpolation Digital mapping Covariables predictivas Interpolación Mapeo digital Covariáveis preditivas Interpolação Mapeamento digital Schünemann, Adriano Luis Thomazini, André Almeida, Pedro Henrique Araújo Francelino, Márcio Rocha Fernandes Filho, Elpídio Inácio Santos, Gérson Rodrigues dos Paula, Mayara Daher de Schaefer, Carlos Ernesto Gonçalves Reynaud Pereira, Antonio Batista Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica |
topic_facet |
Predictive covariates Interpolation Digital mapping Covariables predictivas Interpolación Mapeo digital Covariáveis preditivas Interpolação Mapeamento digital |
description |
The main objective of this paper is to predict soil attributes in unsampled areas using geostatistical models, By improving the prediction parameters of selected data, using environmental covariates characteristic of Antarctic ice free areas. In this study, 58 soil samples from a grid were collected at 0-10 cm depth in Keller Peninsula, King George Island, Antarctica. The soil chemical analysis was performed, and the values of potassium, calcium and magnesium were determined for each soil sampled. Simple kriging (SK) and Random Forest interpolator were used in this work to predict the values of the studied soil attributes in non-sampled areas. We used a Terrestrial Laser Scanner (TLS) to generate a cloud of points, to obtain digital elevation models (DEMs) of 1, 5, 10, 20 and 30 meters cell size. The use of covariates did not improve the parameters of soil bases prediction in the studied area. The final maps did not show great differences based on RMSEs, mainly related to the great spatial variability of soil attributes in this region, despite soil thematic maps evidencing visual difference. El objetivo principal de este trabajo es predecir los atributos del suelo en áreas no muestreadas utilizando modelos geoestadísticos, mejorando los parámetros de predicción de los dados seleccionados, utilizando covariables ambientales características de las áreas de hielo antárticas. En este estudio, se recolectaron 58 muestras de suelo de una cuadrícula a una profundidad de 0 a 10 cm en la Península Keller, Isla Rey Jorge, Antártida. Se realizó el análisis químico del suelo y se determinaron los valores de potasio, calcio y magnesio para cada suelo muestreado. En este trabajo se utilizaron interpoladores de kriging simple (SK) y Random Forest para predecir los valores de los atributos del suelo estudiados en áreas no muestreadas. Utilizamos un escáner láser terrestre (TLS) para generar una nube de puntos, para obtener modelos digitales de elevación (DEM) de tamaño de celda de 1, 5, 10, 20 y 30 metros. El uso de ... |
format |
Article in Journal/Newspaper |
author |
Schünemann, Adriano Luis Thomazini, André Almeida, Pedro Henrique Araújo Francelino, Márcio Rocha Fernandes Filho, Elpídio Inácio Santos, Gérson Rodrigues dos Paula, Mayara Daher de Schaefer, Carlos Ernesto Gonçalves Reynaud Pereira, Antonio Batista |
author_facet |
Schünemann, Adriano Luis Thomazini, André Almeida, Pedro Henrique Araújo Francelino, Márcio Rocha Fernandes Filho, Elpídio Inácio Santos, Gérson Rodrigues dos Paula, Mayara Daher de Schaefer, Carlos Ernesto Gonçalves Reynaud Pereira, Antonio Batista |
author_sort |
Schünemann, Adriano Luis |
title |
Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica |
title_short |
Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica |
title_full |
Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica |
title_fullStr |
Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica |
title_full_unstemmed |
Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica |
title_sort |
soil pedogeochemical attributes prediction by interpolators in ice-free areas of antarctica |
publisher |
Research, Society and Development |
publishDate |
2022 |
url |
https://rsdjournal.org/index.php/rsd/article/view/27542 https://doi.org/10.33448/rsd-v11i4.27542 |
long_lat |
ENVELOPE(-58.133,-58.133,-62.083,-62.083) ENVELOPE(-58.250,-58.250,-62.050,-62.050) ENVELOPE(-58.406,-58.406,-62.073,-62.073) ENVELOPE(-58.406,-58.406,-62.073,-62.073) ENVELOPE(-61.333,-61.333,-74.250,-74.250) ENVELOPE(-58.050,-58.050,-62.083,-62.083) |
geographic |
Antarctic Hielo Isla Rey Jorge Keller Keller peninsula King George Island península Keller Rey Jorge |
geographic_facet |
Antarctic Hielo Isla Rey Jorge Keller Keller peninsula King George Island península Keller Rey Jorge |
genre |
Antarc* Antarctic Antarctica Antártica Antártida King George Island |
genre_facet |
Antarc* Antarctic Antarctica Antártica Antártida King George Island |
op_source |
Research, Society and Development; Vol. 11 No. 4; e51411427542 Research, Society and Development; Vol. 11 Núm. 4; e51411427542 Research, Society and Development; v. 11 n. 4; e51411427542 2525-3409 |
op_relation |
https://rsdjournal.org/index.php/rsd/article/view/27542/24149 https://rsdjournal.org/index.php/rsd/article/view/27542 doi:10.33448/rsd-v11i4.27542 |
op_rights |
Copyright (c) 2022 Adriano Luis Schünemann; André Thomazini; Pedro Henrique Araújo Almeida; Márcio Rocha Francelino; Elpídio Inácio Fernandes Filho; Gérson Rodrigues dos Santos; Mayara Daher de Paula; Carlos Ernesto Gonçalves Reynaud Schaefer; Antonio Batista Pereira https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.33448/rsd-v11i4.27542 |
container_title |
Research, Society and Development |
container_volume |
11 |
container_issue |
4 |
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e51411427542 |
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1766268302029488128 |
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ftjrsd:oai:ojs.pkp.sfu.ca:article/27542 2023-05-15T13:59:38+02:00 Soil pedogeochemical attributes prediction by interpolators in ice-free areas of Antarctica Predicción de atributos pedogeoquímicos del suelo por interpoladores en áreas libres de hielo de la Antártida Predição de atributos pedogeoquímicos do solo por interpoladores em áreas livres de gelo da Antártica Schünemann, Adriano Luis Thomazini, André Almeida, Pedro Henrique Araújo Francelino, Márcio Rocha Fernandes Filho, Elpídio Inácio Santos, Gérson Rodrigues dos Paula, Mayara Daher de Schaefer, Carlos Ernesto Gonçalves Reynaud Pereira, Antonio Batista 2022-03-25 application/pdf https://rsdjournal.org/index.php/rsd/article/view/27542 https://doi.org/10.33448/rsd-v11i4.27542 eng eng Research, Society and Development https://rsdjournal.org/index.php/rsd/article/view/27542/24149 https://rsdjournal.org/index.php/rsd/article/view/27542 doi:10.33448/rsd-v11i4.27542 Copyright (c) 2022 Adriano Luis Schünemann; André Thomazini; Pedro Henrique Araújo Almeida; Márcio Rocha Francelino; Elpídio Inácio Fernandes Filho; Gérson Rodrigues dos Santos; Mayara Daher de Paula; Carlos Ernesto Gonçalves Reynaud Schaefer; Antonio Batista Pereira https://creativecommons.org/licenses/by/4.0 CC-BY Research, Society and Development; Vol. 11 No. 4; e51411427542 Research, Society and Development; Vol. 11 Núm. 4; e51411427542 Research, Society and Development; v. 11 n. 4; e51411427542 2525-3409 Predictive covariates Interpolation Digital mapping Covariables predictivas Interpolación Mapeo digital Covariáveis preditivas Interpolação Mapeamento digital info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftjrsd https://doi.org/10.33448/rsd-v11i4.27542 2022-11-29T08:48:56Z The main objective of this paper is to predict soil attributes in unsampled areas using geostatistical models, By improving the prediction parameters of selected data, using environmental covariates characteristic of Antarctic ice free areas. In this study, 58 soil samples from a grid were collected at 0-10 cm depth in Keller Peninsula, King George Island, Antarctica. The soil chemical analysis was performed, and the values of potassium, calcium and magnesium were determined for each soil sampled. Simple kriging (SK) and Random Forest interpolator were used in this work to predict the values of the studied soil attributes in non-sampled areas. We used a Terrestrial Laser Scanner (TLS) to generate a cloud of points, to obtain digital elevation models (DEMs) of 1, 5, 10, 20 and 30 meters cell size. The use of covariates did not improve the parameters of soil bases prediction in the studied area. The final maps did not show great differences based on RMSEs, mainly related to the great spatial variability of soil attributes in this region, despite soil thematic maps evidencing visual difference. El objetivo principal de este trabajo es predecir los atributos del suelo en áreas no muestreadas utilizando modelos geoestadísticos, mejorando los parámetros de predicción de los dados seleccionados, utilizando covariables ambientales características de las áreas de hielo antárticas. En este estudio, se recolectaron 58 muestras de suelo de una cuadrícula a una profundidad de 0 a 10 cm en la Península Keller, Isla Rey Jorge, Antártida. Se realizó el análisis químico del suelo y se determinaron los valores de potasio, calcio y magnesio para cada suelo muestreado. En este trabajo se utilizaron interpoladores de kriging simple (SK) y Random Forest para predecir los valores de los atributos del suelo estudiados en áreas no muestreadas. Utilizamos un escáner láser terrestre (TLS) para generar una nube de puntos, para obtener modelos digitales de elevación (DEM) de tamaño de celda de 1, 5, 10, 20 y 30 metros. El uso de ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Antártica Antártida King George Island Research, Society and Development (E-Journal) Antarctic Hielo ENVELOPE(-58.133,-58.133,-62.083,-62.083) Isla Rey Jorge ENVELOPE(-58.250,-58.250,-62.050,-62.050) Keller ENVELOPE(-58.406,-58.406,-62.073,-62.073) Keller peninsula ENVELOPE(-58.406,-58.406,-62.073,-62.073) King George Island península Keller ENVELOPE(-61.333,-61.333,-74.250,-74.250) Rey Jorge ENVELOPE(-58.050,-58.050,-62.083,-62.083) Research, Society and Development 11 4 e51411427542 |