BIS-4D

This is a frozen copy of the BIS-4D model code provided in a public GitLab repository: https://git.wageningenur.nl/helfe001/bis-4d The scientific data description paper of BIS-4D can be found here: https://doi.org/10.5194/essd-2024-26 ; BIS-4D This is the code repository of the scientific manuscript entitled "BIS-4D: Mapping soil properties and their uncertainties at 25 m resolution in the Netherlands" Helfenstein et al., 2024a . In that manuscript, please see the section "Data and code availability" for more information. The BIS-4D soil property prediction maps at 25 m resolution can be downl... Mehr ...

Verfasser: Helfenstein, Anatol
Dokumenttyp: other
Erscheinungsdatum: 2024
Verlag/Hrsg.: Zenodo
Schlagwörter: Digital Soil Mapping / Soil / The Netherlands / Pedometrics / Statistical modelling / Machine learning / Soil pH / Soil organic matter / Soil texture / Nitrogen / Phosphorus / Cation exchange capacity / Bulk density / Uncertainty / High-resolution
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28804327
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.5281/zenodo.12238785

This is a frozen copy of the BIS-4D model code provided in a public GitLab repository: https://git.wageningenur.nl/helfe001/bis-4d The scientific data description paper of BIS-4D can be found here: https://doi.org/10.5194/essd-2024-26 ; BIS-4D This is the code repository of the scientific manuscript entitled "BIS-4D: Mapping soil properties and their uncertainties at 25 m resolution in the Netherlands" Helfenstein et al., 2024a . In that manuscript, please see the section "Data and code availability" for more information. The BIS-4D soil property prediction maps at 25 m resolution can be downloaded at https://doi.org/10.4121/0c934ac6-2e95-4422-8360-d3a802766c71 . A previous version of the code was provided with BIS-3D , which is the code repository of Helfenstein et al., 2022 . In addition, there is a R tutorial available for modelling soil organic matter (SOM) in 3D space and time using the BIS-4D approach, which is based on Helfenstein et al., 2024b . Model inputs and outputs of BIS-4D use the coordinate reference system most commonly used in the Netherlands: EPSG:28992 Amersfoort/RD New . Model inputs Soil point data The soil point data used in BIS-4D, excluding LSK and CCNL data, can be downloaded here: https://doi.org/10.4121/c90215b3-bdc6-4633-b721-4c4a0259d6dc . The "bodemkunig informatie systeem" (BIS), the soil database of the Netherlands, contains 3 different types of soil data: BPK = "boring" / boreholes to a max of 5 m depth (most go to 1.2 to 2 m depth); the locations are specifically selected (purposive sampling); mostly field observations and little to no laboratory analysis (?) PFB = "profielbeschrijving" / soil profile descriptions from soil pit the locations are specifically selected (purposive sampling); Almost always, samples were taken for lab analysis LSK = "Landelijke Steekproef Kaarteenheden"; dataset with profile descriptions and samples including lab analysis; stratified random sampling design based on soil type and grondwatertrappe (groundwater), see Finke et al. 2001 and Visschers et ...