Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ...
This study was conducted to explore the possibility of predicting soil moisture content (SMC) in podzolic soils in western Newfoundland using multi-coil (MC) and multi-frequency (MF) electromagnetic induction (EMI) sensors. Two studies were conducted to assess the effectiveness of apparent electrica...
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Memorial University of Newfoundland
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Online Access: | https://dx.doi.org/10.48336/y993-bm67 https://research.library.mun.ca/16018/ |
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ftdatacite:10.48336/y993-bm67 2024-04-28T08:28:51+00:00 Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... Mensah, Clinton 2023 https://dx.doi.org/10.48336/y993-bm67 https://research.library.mun.ca/16018/ en eng Memorial University of Newfoundland article-journal Text ScholarlyArticle 2023 ftdatacite https://doi.org/10.48336/y993-bm67 2024-04-02T11:34:20Z This study was conducted to explore the possibility of predicting soil moisture content (SMC) in podzolic soils in western Newfoundland using multi-coil (MC) and multi-frequency (MF) electromagnetic induction (EMI) sensors. Two studies were conducted to assess the effectiveness of apparent electrical conductivity (ECa) from both MC and MF EMI sensors in characterizing SMC. The first study focused on employing MF-EMI in characterizing SMC under three different land uses in western Newfoundland’s podzolic soils. The second study assessed effectiveness of ECa obtained from the MC and MF-EMI sensors to maximize the representation of SMC taking into consideration organic matter, bulk density and texture using a statistical and geostatistical analysis. Geostatistical analysis from the first study revealed that cokriging of SMC with densely collected ECa provided an improved characterization accuracy of soil moisture variability across the different land use conditions. The second study found that multiple linear ... Text Newfoundland DataCite Metadata Store (German National Library of Science and Technology) |
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This study was conducted to explore the possibility of predicting soil moisture content (SMC) in podzolic soils in western Newfoundland using multi-coil (MC) and multi-frequency (MF) electromagnetic induction (EMI) sensors. Two studies were conducted to assess the effectiveness of apparent electrical conductivity (ECa) from both MC and MF EMI sensors in characterizing SMC. The first study focused on employing MF-EMI in characterizing SMC under three different land uses in western Newfoundland’s podzolic soils. The second study assessed effectiveness of ECa obtained from the MC and MF-EMI sensors to maximize the representation of SMC taking into consideration organic matter, bulk density and texture using a statistical and geostatistical analysis. Geostatistical analysis from the first study revealed that cokriging of SMC with densely collected ECa provided an improved characterization accuracy of soil moisture variability across the different land use conditions. The second study found that multiple linear ... |
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Text |
author |
Mensah, Clinton |
spellingShingle |
Mensah, Clinton Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
author_facet |
Mensah, Clinton |
author_sort |
Mensah, Clinton |
title |
Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
title_short |
Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
title_full |
Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
title_fullStr |
Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
title_full_unstemmed |
Employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
title_sort |
employing integrated electromagnetic induction sensors for soil characterization under different land use conditions ... |
publisher |
Memorial University of Newfoundland |
publishDate |
2023 |
url |
https://dx.doi.org/10.48336/y993-bm67 https://research.library.mun.ca/16018/ |
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Newfoundland |
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Newfoundland |
op_doi |
https://doi.org/10.48336/y993-bm67 |
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1797587246305509376 |