ISRIC Data Hub
ISRIC Data Hub (ISRIC - World Soil Information)
Continents, countries, sea regions of the world.
GeoPearl: SOM-content under arable land 250m
Model predictions on SOM-content under arable land (see: Report: https://edepot.wur.nl/556312 ): 'Predictions with a model ensemble at fixed depths of 15, 45, 80 and 120 cm on a 250m grid. Predictions using an ensemble of Random Forests and Gradient Boosting, with covariates from the SoilGrids 2017 model (Hengl et al. 2017) and a spatial cross-validation procedure. The model was applied on log-transformed observations of SOC. Models result were back- transformed and converted to SOM by multiplying SOC predictions with 1.743.'
SoilGrids250m 2.0 - Volumetric Water Content at 10kPa aggregated 5000m
Volumetric Water Content at 10kPa suction in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 5000 m cell.
Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/
https://www.isric.org/explore/wosis/wosis-contributing-institutions-and-experts https://doi.org/10.1016/j.iswcr.2022.08.001
Soils of the World, according to the World Reference Base for Soil Resources (WRB 2014, Update 2015)
This map was prepared based on the Harmonised World Soil Database (HSWD), v1.2 and using the World Reference Base for Soil Resources (WRB) 2014, update 2015. The map units were derived from aggregation of the HWSD units using the ‘soil associations’ as defined in the short key of the WRB2014 document. The aggregated World Soil Map map was prepared at ISRIC on request of the Heinrich-Boell-Stiftung.
Africa SoilGrids - Root zone moisture content at saturation aggregated at ERZD
Volumetric moisture content (v%) of the soil fine earth fraction at saturation (at h=1 cm or pF 0), aggregated over the Effective Root Zone Depth for Maize
Attribution-NonCommercial 3.0 International (CC BY-NC 3.0), https://creativecommons.org/licenses/by-nc/3.0/
Africa SoilGrids - Root zone moisture content at wilting point aggregated at top 30 cm
Volumetric moisture content (v%) of the soil fine earth fraction at permanent wilting point (at h=15,000 cm or pF 4.2), aggregated over rootable depth and the top 30 cm, mapped at 1km resolution
SoilGrids250m 2.0 - Silt content aggregated 1000m
Silt content (2-50/63 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
https://www.isric.org/explore/wosis/wosis-contributing-institutions-and-experts https://doi.org/10.5194/soil-7-217-2021
SoilGrids250m 2017-03 - Grade of a sub-soil being acid e.g. having a pH lower than 5 and low BS
Grade of a sub-soil being acid e.g. having a pH greater than 5 and low BS predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: grade.
Africa SoilGrids - Root zone moisture content at saturation aggregated at top 30 cm
Volumetric moisture content (v%) of the soil fine earth fraction at saturation (at h=1 cm or pF 0), aggregated over rootable depth and the top 30 cm, mapped at 1km resolution
Repositório Brasileiro Livre para Dados Abertos do Solo
The Free Brazilian Repository for Open Soil Data – febr, www.ufsm.br/febr – is a centralized repository targeted at storing open soil data and serving it in a standardized and harmonized format. The repository infrastructure was built using open source and/or free (of cost) software, and was primarily designed for the individual management of datasets. A dataset-driven structure helps datasets authors to be properly acknowledged. Moreover, it gives the flexibility to accommodate many types of data of any soil variable. This is accomplished by storing each dataset using a collection of spreadsheets accessible through an online application. Spreadsheets are familiar to any soil scientist, the reason why it is easier to enter, manipulate and visualize soil data in febr. They also facilitate the participation of soil survey experts in the recovery and quality assessment of legacy data. Soil scientists can help in the definition of standards and data management choices through a public discussion forum, febr-forum@googlegroups.com. A comprehensive documentation is available to guide febr maintainers and data contributors. A detailed catalog gives access to the 14 477 soil observations – 42% of them from south and southeastern Brazil – from 232 datasets contained in febr. Global and dataset-specific visualization and search tools and multiple download facilities are available. The latter includes standard file formats and connections with R and QGIS through the febr package. Various products can be derived from data in febr: specialized databases, pedotransfer functions, fertilizer recommendation guides, classification systems, and detailed soil maps. By sharing data through a centralized soil data storing and sharing facility, soil scientists from different fields have the opportunity to increase collaboration and the much needed soil knowledge.
Africa SoilGrids - Extractable aluminium (Al)
Extractable aluminium content (Al measured by Mehlich 3) in mg/kg (fine earth) at 2 depth intervals (0-20 cm and 20-50 cm) predicted using two sets of Africa soil profiles data. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T. Desta, J.E. Tondoh, 2015. Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. PLoS ONE 10(6)
Project webpages: http://africasoils.net/ http://isric.org/projects/africa-soil-information-service-afsis Soil data (1): http://isric.org/projects/africa-soil-profiles-database-afsp Not included: Soil data (2): http://africasoils.net/services/data/soil-databases/
Scientific publication (Turek et al. 2021)
Generalised WRB 2014 map (GIS files zipped)
World reference base for soil resources 2014 (Update 2015)
Generalised WRB soil map (poster format)
Download GeoTIFF at aggregated root depth
Download GeoTIFF at aggregated 30 cm depth
ISRIC - World Soil Information (WDC - Soils)
Universidade Tecnológica Federal do Paraná - Câmpus Santa Helena