Digital soil mapping predicted on mid-infrared (MIR) spectroscopy measurements in North-Western Kurdistan region, Iraq (netCDF and GeoTIFF files) V3.0
Bellat, Mathias;Zebari, Mjahid;Glissmann, Benjamin;Rentschler, Tobias;Sconzo, Paola;Kakhani, Nafiseh;Kohsravani, Pegah;Taghizadeh-Mehrjardi, Ruhollah;Brifkany, Bekas;Pfälzner, Peter;Scholten, Thomas
Description
The prediction map for soil depth in cm (0 - 100 cm) and soil properties (0 - 10 - 30 - 50 - 70 - 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)). Soil depth is expressed in cm, pH is expressed in absolute value, MWD in mm, Nt, Ct, Corg, Sand, Silt and Clay in %, and EC in µS/cm. The pixel size is 30 x 30 m, and the projected coordinate system is WGS84 (epsg:4326).
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Publication Details
DOI
Publisher
figshare
Subfield
Environmental Engineering
Field
Environmental Science
Domain
Physical Sciences
Confidence Score
51%
Source
Scholar Data Model
Keywords
Land capability and soil productivityPedology and pedometricsSoil physicsSpatial data and applicationsApplications in physical sciences