Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties
Spectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale prediction of soil properties and assessment o...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2018-06-01
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| Series: | Plant, Soil and Environment |
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| Online Access: | https://pse.agriculturejournals.cz/artkey/pse-201806-0005_visible-and-near-infrared-reflectance-spectroscopy-for-field-scale-assessment-of-stagnosols-properties.php |
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| author | Ivana ŠESTAK Milan MESIĆ Željka ZGORELEC Aleksandra PERČIN Ivan STUPNIŠEK |
| author_facet | Ivana ŠESTAK Milan MESIĆ Željka ZGORELEC Aleksandra PERČIN Ivan STUPNIŠEK |
| author_sort | Ivana ŠESTAK |
| collection | DOAJ |
| description | Spectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale prediction of soil properties and assessment of factors affecting soil spectra. Two hundred soil samples taken from the experiment field (soil depth: 30 cm; sampling grid: 15 × 15 m) were scanned using portable spectroradiometer (350-1050 nm) to identify spectral differences of soil treated with ten different rates of mineral nitrogen (N) fertilizer (0-300 kg N/ha). Principal component analysis revealed distinction between higher- and lower-N level treatments conditioned by differences in soil pH, texture and soil organic matter (SOM) composition. Partial least square regression resulted in very strong correlation and low root mean square error (RMSE) between predicted and measured values for the calibration (C) and validation (V) dataset, respectively (SOM, %: RC2 = 0.75 and RV2 = 0.74; RMSEC = 0.334 and RMSEV = 0.346; soil pH: RC2 = 0.78 and RV2 = 0.62; RMSEC = 0.448 and RMSEV = 0.591). Results indicated that hyperspectral VNIR spectroscopy is an efficient method for measurement of soil functional attributes within precision farming framework. |
| first_indexed | 2024-04-10T08:08:33Z |
| format | Article |
| id | doaj.art-720ff639eaae42b3a3d51c71e310befd |
| institution | Directory Open Access Journal |
| issn | 1214-1178 1805-9368 |
| language | English |
| last_indexed | 2024-04-10T08:08:33Z |
| publishDate | 2018-06-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Plant, Soil and Environment |
| spelling | doaj.art-720ff639eaae42b3a3d51c71e310befd2023-02-23T03:46:39ZengCzech Academy of Agricultural SciencesPlant, Soil and Environment1214-11781805-93682018-06-0164627628210.17221/220/2018-PSEpse-201806-0005Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols propertiesIvana ŠESTAKMilan MESIĆ0Željka ZGORELEC1Aleksandra PERČIN2Ivan STUPNIŠEK3Department of General Agronomy, Faculty of Agriculture, University of Zagreb, Zagreb, CroatiaDepartment of General Agronomy, Faculty of Agriculture, University of Zagreb, Zagreb, CroatiaDepartment of General Agronomy, Faculty of Agriculture, University of Zagreb, Zagreb, CroatiaDepartment of General Agronomy, Faculty of Agriculture, University of Zagreb, Zagreb, CroatiaSpectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale prediction of soil properties and assessment of factors affecting soil spectra. Two hundred soil samples taken from the experiment field (soil depth: 30 cm; sampling grid: 15 × 15 m) were scanned using portable spectroradiometer (350-1050 nm) to identify spectral differences of soil treated with ten different rates of mineral nitrogen (N) fertilizer (0-300 kg N/ha). Principal component analysis revealed distinction between higher- and lower-N level treatments conditioned by differences in soil pH, texture and soil organic matter (SOM) composition. Partial least square regression resulted in very strong correlation and low root mean square error (RMSE) between predicted and measured values for the calibration (C) and validation (V) dataset, respectively (SOM, %: RC2 = 0.75 and RV2 = 0.74; RMSEC = 0.334 and RMSEV = 0.346; soil pH: RC2 = 0.78 and RV2 = 0.62; RMSEC = 0.448 and RMSEV = 0.591). Results indicated that hyperspectral VNIR spectroscopy is an efficient method for measurement of soil functional attributes within precision farming framework.https://pse.agriculturejournals.cz/artkey/pse-201806-0005_visible-and-near-infrared-reflectance-spectroscopy-for-field-scale-assessment-of-stagnosols-properties.phpnitrogen fertilizationremote sensingnon-destructive methodclimatic conditionsoil texturelinear calibration |
| spellingShingle | Ivana ŠESTAK Milan MESIĆ Željka ZGORELEC Aleksandra PERČIN Ivan STUPNIŠEK Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties Plant, Soil and Environment nitrogen fertilization remote sensing non-destructive method climatic condition soil texture linear calibration |
| title | Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties |
| title_full | Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties |
| title_fullStr | Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties |
| title_full_unstemmed | Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties |
| title_short | Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties |
| title_sort | visible and near infrared reflectance spectroscopy for field scale assessment of stagnosols properties |
| topic | nitrogen fertilization remote sensing non-destructive method climatic condition soil texture linear calibration |
| url | https://pse.agriculturejournals.cz/artkey/pse-201806-0005_visible-and-near-infrared-reflectance-spectroscopy-for-field-scale-assessment-of-stagnosols-properties.php |
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