Bellat, Mathias; Glissmann, Benjamin; Rentschler, Tobias; Sconzo, Paola; Pfälzner, Peter; Brifkany, Bekas; Scholten, Thomas (2024): Digital soil mapping predicted on mid-infrared (MIR) spectroscopy measurements in North-Western Kurdistan region, Iraq (netCDF and GeoTIFF files) [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.973764 (DOI registration in progress)
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Abstract:
Soil information is valuable for many disciplines (e.g. agriculture, geomorphology, geology, archaeology) and can be used to produce maps or statistics on soil productivity. As part of the project CRC1070 ResourceCulture, we collected information on the soil quality in the Dohuk province of the Kurdistan region of Iraq. In total, 561 samples were collected at 136 locations in 2017, 2018, 2022, and 2023. These samples were collected at different depth increments (0 - 10, 10 - 30, 30 - 50, 50 - 70 and 70 - 100 cm) with an auger before being prepared and measured with mid-infrared (MIR) spectroscopy. Part of these samples (109) were selected to be analyzed in a laboratory, measuring texture, pH, organic and total carbon, nitrogen, sulfur, electrical conductivity, bulk density and calcium carbonate. A Cubist model was used to predict the remaining samples based on the MIR spectra. We then modelled digital soil mapping with machine learning methods (ensemble learning, linear regression, decision trees) for these soil components. Additionally, we mapped the soil depth using the information collected in the field. This dataset can help any researcher regarding soil information, forming a unique regional database.
The prediction map for soil depth in cm (0 - 100 cm) is based on a quantile random forest (QRF) model. The uncertainty was computed based on the lower and higher quantile from the QRF model (Uncertainty = (Qp0.95 - Qp0.05) / (Qp0.5)) and is expressed in cm. The pixel size is 25 x 25 m, and the projected coordinate system is WGS84 (epsg:4326).
Additionally, five maps for each depth increment (0 - 10 - 30 - 50 - 70 - 100 cm) of the ten predicted properties are provided. The pH is expressed in absolute value, MWD in mm, Nt, Ct, Corg, Sand, Silt and Clay in %, and EC in µS/cm. For 0 - 10 cm depth: pH with QRF model, CaCO3 with QRF model, Nt with CART model, Ct with QRF, Corg with CART, EC with QRF, Sand with Knn, Silt with QRF, Clay with QRF and MWD with QRF. For 10 - 30 cm depth: pH with QRF model, CaCO3 with Cubist model, Nt with QRF model, Ct with QRF, Corg with QRF, EC with Cubist, Sand with Ensemble, Silt with SVM, Clay with Knn and MWD with CART. For 30 - 50 cm depth: pH with QRF model, CaCO3 with Ensemble model, Nt with Cubist model, Ct with Ensemble, Corg with Knn, EC with Cubist, Sand with Ensemble, Silt with SVM, Clay with QRF and MWD with Knn. For 50 - 70 cm depth: pH with QRF model, CaCO3 with SVM model, Nt with QRF model, Ct with SVM, Corg with Ensemble, EC with Ensemble, Sand with Knn, Silt with SVM, Clay with QRF and MWD with Cubist. For 70 - 100 cm depth: pH with QRF model, CaCO3 with CART model, Nt with Cubist model, Ct with Ensemble, Corg with Cubist, Ec with SVM, Sand with QRF, Silt with QRF, Clay with QRF and MWD with Ensemble. The pixel size is 25 x 25 m, and the projected coordinate system is WGS84 (epsg:4326).
Keyword(s):
Related to:
Bellat, Mathias; Glissmann, Benjamin; Rentschler, Tobias; Sconzo, Paola; Pfälzner, Peter; Brifkany, Bekas; Scholten, Thomas (2024): Soil properties predicted on mid-infrared (MIR) spectroscopy measurements in North-Western Kurdistan region, Iraq [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.973700
Funding:
German Research Foundation (DFG), grant/award no. 215859406: A hunt for resources? Spatial models in the ResourceCultures at the northern periphery of Mesopotamia (B07)
Coverage:
Median Latitude: 36.978201 * Median Longitude: 42.650446 * South-bound Latitude: 36.781288 * West-bound Longitude: 42.419542 * North-bound Latitude: 37.206902 * East-bound Longitude: 43.038379
Date/Time Start: 2017-09-01T00:00:00 * Date/Time End: 2023-10-03T00:00:00
Event(s):
B07_2022_001 * Latitude: 36.979058 * Longitude: 42.617510 * Date/Time: 2022-09-17T00:00:00 * Location: Dohuk directorate, Iraq * Campaign: B07_2022 (B07 SFB 1070 soil survey 2022) * Basis: Sampling on land * Method/Device: Auger (AUG)
B07_2022_002 * Latitude: 37.062429 * Longitude: 42.603398 * Date/Time: 2022-09-18T00:00:00 * Location: Dohuk directorate, Iraq * Campaign: B07_2022 (B07 SFB 1070 soil survey 2022) * Basis: Sampling on land * Method/Device: Auger (AUG)
B07_2022_003 * Latitude: 36.933910 * Longitude: 42.536446 * Date/Time: 2022-09-24T00:00:00 * Location: Dohuk directorate, Iraq * Campaign: B07_2022 (B07 SFB 1070 soil survey 2022) * Basis: Sampling on land * Method/Device: Auger (AUG)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Bellat, Mathias | |||
| 2 | Depth, top/min | Depth top | m | Bellat, Mathias | ||
| 3 | Depth, bottom/max | Depth bot | m | Bellat, Mathias | ||
| 4 | Raster graphic, GeoTIFF format | GeoTIFF | Bellat, Mathias | |||
| 5 | Raster graphic, GeoTIFF format (File Size) | GeoTIFF (Size) | Bytes | Bellat, Mathias | ||
| 6 | netCDF file | netCDF | Bellat, Mathias | |||
| 7 | netCDF file (File Size) | netCDF (Size) | Bytes | Bellat, Mathias |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
28 data points