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).

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.1

FAIR Score

88%

Citations

2

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

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

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00