Vis-NIRS spectral data and chemical properties of humus samples from forest soils in Saxony
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2020
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| _version_ | 1867168205779238912 |
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| author | Thomas, Felix Pohle, Marco Schmidt, Ulrike Werban, Ulrike |
| author_facet | Thomas, Felix Pohle, Marco Schmidt, Ulrike Werban, Ulrike |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The data set consists of 362 samples and contains chemical properties (C and N content) as well as spectral data obtained with different devices in the visual and near-infrared range of the electromagnetic spectrum of forest soil samples in Saxony. One part of the samples was collected during the German National Forest Soil Inventory (BZE). It took place in 1992 and 2006, with additional data collection conducted in 2012 and 2014. The data set is supplemented with additional sample points from three test sites representing typical natural areas of Saxony (Wellbrock et. al, 2015, doi:10.3220/REP1449838842000). Data collection was performed using a satellite sampling scheme with eight satellites per point. The data set contains samples from both Oh-horizon and the five cm of the uppermost layer of mineral soil (Ah-horizon). Samples were dried at 40°. The dry samples were sieved with a 2 mm mesh, homogenizing the material. All chemical analysis was performed by the laboratory of Sachsenforst public enterprise, following standards of forest soil chemical analysis. Spectral data was obtained from 2018 - 2020 using Veris vis-NIR Spectrophotometer by Veris Technologies (spectral resolution: 6 nm), Hamamatsu C12880MA by Hamamatsu Photononics (spectral resolution 15 nm) and NeoSpectra SW62231 by Si-Ware Systems (spectral resolution 16 nm). To capture the samples variability, 10 measures were taken, rotating the samples after every measurement. Then, the mean of the single measures was formed. The data was used to predict soil properties for forest soil mapping and monitoring by vis-NIR spectroscopy. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_921689 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Vis-NIRS spectral data and chemical properties of humus samples from forest soils in Saxony Thomas, Felix Pohle, Marco Schmidt, Ulrike Werban, Ulrike BZE; DIGI-Humus; forest soil properties; humus; proximal soil sensing; Sachsenforst; Saxony_forest; Saxony, Germany; UFZ; vis-NIR spectroscopy The data set consists of 362 samples and contains chemical properties (C and N content) as well as spectral data obtained with different devices in the visual and near-infrared range of the electromagnetic spectrum of forest soil samples in Saxony. One part of the samples was collected during the German National Forest Soil Inventory (BZE). It took place in 1992 and 2006, with additional data collection conducted in 2012 and 2014. The data set is supplemented with additional sample points from three test sites representing typical natural areas of Saxony (Wellbrock et. al, 2015, doi:10.3220/REP1449838842000). Data collection was performed using a satellite sampling scheme with eight satellites per point. The data set contains samples from both Oh-horizon and the five cm of the uppermost layer of mineral soil (Ah-horizon). Samples were dried at 40°. The dry samples were sieved with a 2 mm mesh, homogenizing the material. All chemical analysis was performed by the laboratory of Sachsenforst public enterprise, following standards of forest soil chemical analysis. Spectral data was obtained from 2018 - 2020 using Veris vis-NIR Spectrophotometer by Veris Technologies (spectral resolution: 6 nm), Hamamatsu C12880MA by Hamamatsu Photononics (spectral resolution 15 nm) and NeoSpectra SW62231 by Si-Ware Systems (spectral resolution 16 nm). To capture the samples variability, 10 measures were taken, rotating the samples after every measurement. Then, the mean of the single measures was formed. The data was used to predict soil properties for forest soil mapping and monitoring by vis-NIR spectroscopy. |
| title | Vis-NIRS spectral data and chemical properties of humus samples from forest soils in Saxony |
| topic | BZE; DIGI-Humus; forest soil properties; humus; proximal soil sensing; Sachsenforst; Saxony_forest; Saxony, Germany; UFZ; vis-NIR spectroscopy |
| url | https://doi.org/10.1594/PANGAEA.921689 |