1 About

1.1 Rationale

This is a public compendium of global, regional, national and sub-national soil samples and/or soil profile datasets (points with Observations and Measurements of soil properties and characteristics). Datasets listed here, assuming compatible open license, are afterwards imported into the Global compilation of soil chemical and physical properties and soil classes and eventually used to create a better open soil information across countries. The specific objectives of this initiative are:

  • To enable data digitization, import and binding + harmonization,
  • To accelerate research collaboration and networking,
  • To enable development of more accurate / more usable global and regional soil property and class maps (typically published via https://OpenLandMap.org),

The minimum requirements to submit a dataset for inclusion to the OpenLandMap repository are:

  • License and terms of use clearly specified AND,
  • Complete and consistent metadata that can ensure correct standardization and harmonization steps AND,
  • At least 50 unique spatial locations AND,
  • No broken or invalid URLs,

Datasets that do NOT satisfy the above listed minimum requirements might be removed. If you discover an issue with license, data description or version number of a dataset, please open a Github issue.

Recommended settings for all datasets are:

  • Peer-reviewed versions of the datasets (i.e. a dataset accompanied with a peer-reviewed publication) should have the priority,
  • Register your dataset (use e.g. https://zenodo.org) and assign a DOI to each version,
  • Provide enough metadata so that it can be imported and bind with other data without errors,
  • If your dataset is a compilation of previously published datasets, please indicate in the description,

Information outdated or missing? Please open an issue or best do a correction and then a pull request.

Soil profiles and soil samples with chemical and physical properties global compilation. For more info see: https://gitlab.com/openlandmap/compiled-ess-point-data-sets.

Figure 1.1: Soil profiles and soil samples with chemical and physical properties global compilation. For more info see: https://gitlab.com/openlandmap/compiled-ess-point-data-sets.

1.2 Existing soil data projects and initiatives

Multiple international organizations from FAO’s Global Soil Partnership to UNCCD’s Land Degredation Neutrality, European Commission and similar, support soil data collation projects and especially curation of the legacy soil data. Some existing soil Observations and Measurements (O&M) soil data initiatives include:

A more in-depth inventory of all various national and international soil datasets can be found in:

1.3 Target soil variables

Soil variables of interest include:

  1. Chemical soil properties:
  • Soil organic carbon, total carbon, total nitrogen,
  • Soil pH, effective Cation Exchange Capacity (eCEC),
  • Soil sodicity (presence of a high proportion of sodium ions relative to other cations),
  • Macro-nutrients: extractable — potassium (K), calcium (Ca), sodium (Na), magnesium (Mg) and similar,
  • Micro-nutrients: phosphorus (P), sulfur (S), iron (Fe), zinc (Zn) and similar,
  • Soil pollutants, heavy metals and similar,
  • Electrical conductivity,
  1. Physical soil properties:
  • Soil texture and texture fractions: silt, clay and sand, stone content,
  • Bulk density, depth to bedrock and similar,
  • Hydraulic conductivity, water content — Field Capacity (FC; the amount of water held in the soil after it has been fully wetted and free drainage has stopped), Permanent Wilting Point (PWP; the soil moisture condition at which the plant could not obtain water and would wilt and die), Plant Available Water Capacity (PAWC; the amount of water between field capacity and permanent wilting point water holding capacity) and similar,
  • Soil temperature,
  1. Soil biological / biodiversity variables:
  • Soil biomass,
  • Soil micro-, meso-, macro- and mega-fauna abundance,
  • Soil biodiversity indices,
  1. Soil classification / taxonomy variables:
  • Soil type,
  • Soi suitability classes, soil fertility classes,
  • Soil texture classes and families,
  1. Soil absorbances / soil spectroscopy variables:
  • Soil absorbance in VIS-NIR and MIR part of spectra,

1.5 Contributing

Please feel free to contribute entries. See GitHub repository for more detailed instructions.

1.6 Contributors

If you’ve contribute, add also your name and Twitter, ORCID or blog link below:

Tomislav Hengl, Jonathan Sanderman, Mario Antonio Guevara Santamaria,

This document is based on the https://www.bigbookofr.com/ repository by Oscar Baruffa.

1.7 Disclaimer

The data is provided “as is.” OpenGeoHub foundation and its suppliers and licensors hereby disclaim all warranties of any kind, express or implied, including, without limitation, the warranties of merchantability, fitness for a particular purpose and non-infringement. Neither OpenGeoHub foundation nor its suppliers and licensors, makes any warranty that the Website will be error free or that access thereto will be continuous or uninterrupted. You understand that you download from, or otherwise obtain content or services through, the Website at your own discretion and risk.

1.8 Licence

This website/book is free to use, and is licensed under the Creative Commons Attribution 3.0 License.

1.9 Soil Spectroscopy for Global Good

SoilSpec4GG is a USDA-funded Food and Agriculture Cyberinformatics Tools Coordinated Innovation Network NIFA Award #2020-67021-32467 project. It brings together soil scientists, spectroscopists, informaticians, data scientists and software engineers to overcome some of the current bottlenecks preventing wider and more efficient use of soil spectroscopy. A series of working groups will be formed to address topics including calibration transfer, model choice, outreach & demonstration, and use of spectroscopy to inform global carbon cycle modeling. For more info refer to: https://soilspectroscopy.org/

1.10 About OpenGeoHub

OpenGeoHub foundation is a not-for-profit research foundation located in Wageningen, the Netherlands. We specifically promote publishing and sharing of Open Geographical and Geoscientific Data, using and developing Open Source Software and encouraging and empowering under-represented researchers e.g. those from ODA recipient countries and female researchers. We believe that the key measure of quality of research in all sciences (and especially in geographical information sciences) is in transparency and reproducibility of the computer code used to generate results (read more in: “Everyone has a right to know what is happening with the planet”).

1.11 Literature

Some other connected publications and initiatives describing collation and import of legacy soil observations and measurements that might interest you: