DOI: 10.5281/zenodo.2609114
title: Predicted soil water content (weight %) for 33kPa and 1500kPa suctions at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

description: Soil water content (weight percentage of water) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Available Water Capacity (in mm) was derived by calculating Water Retention Difference (see p. 197 in the NRCS Soil Survey Laboratory Methods Manual), and then summing up WRD for all standard layers. Processing steps are described in detail <strong>here</strong>. Antartica is not included.

To access and visualize some of the maps use: <strong>https://landgis.opengeohub.org</strong>

This is the first draft of predictions (under construction). If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels:


	Technical issues and questions about the code: https://github.com/Envirometrix/LandGISmaps/issues 
	General questions and comments: https://disqus.com/home/forums/landgis/


All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:


	sol = theme: soil,
	watercontent.33kPa = water content (weight percent) under field capacity (33 kPa suction),
	usda.4b1c = determination method: laboratory method code,
	m = mean value,
	250m = spatial resolution / block support: 250 m,
	b10..10cm = vertical reference: 10 cm depth below surface,
	1950..2017 = time reference: period 1950-2017,
	v0.1 = version number: 0.1,
description: {"references": ["Batjes, N. H. 2009. \"Harmonized soil profile data for applications at global and continental scales: Updates to the WISE database.\" Soil Use and Management 25 (2):124\u201327. https://doi.org/10.1111/j.1475-2743.2009.00202.x.", "\u0421\u0442\u043e\u043b\u0431\u043e\u0432\u043e\u0439, \u0412. \u0421., & \u041c\u043e\u043b\u0447\u0430\u043d\u043e\u0432, \u042d. \u041d. (2015). \u0415\u0434\u0438\u043d\u044b\u0439 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0440\u0435\u0435\u0441\u0442\u0440 \u043f\u043e\u0447\u0432\u0435\u043d\u043d\u044b\u0445 \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0432 \u0420\u043e\u0441\u0441\u0438\u0438 \u043a\u0430\u043a \u043c\u043e\u0434\u0435\u043b\u044c \u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0438 \u043f\u043e\u0447\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u043f\u043e\u043a\u0440\u043e\u0432\u0430. \u0418\u0437\u0432\u0435\u0441\u0442\u0438\u044f \u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u043e\u0439 \u0430\u043a\u0430\u0434\u0435\u043c\u0438\u0438 \u043d\u0430\u0443\u043a. \u0421\u0435\u0440\u0438\u044f \u0433\u0435\u043e\u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0430\u044f, (5), 135-143.", "Geng, X., Fraser, W., VandenBygaart, B., Smith, S., Waddell, A., Jiao, Y., & Patterson, G. (2010). Toward digital soil mapping in Canada: Existing soil survey data and related expert knowledge. In Digital soil mapping (pp. 325-335). Springer, Dordrecht.", "Hollis, J. M., Jones, R. J. A., Marshall, C. J., Holden, A., Van de Veen, J. R., & Montanarella, L. (2006). SPADE-2: The soil profile analytical database for Europe, version 1.0. Luxembourg: Office for official publications of the European Communities. EUR22127EN.", "Leenaars, J. G. B. (2013). Africa Soil Profiles Database, Version 1.3. A compilation of georeferenced and standardised legacy soil profile data for Sub-Saharan Africa (with dataset). Africa Soil Information Service (AfSIS) project (No. 2013/03). ISRIC-World Soil Information.", "Nemes, A. D., Schaap, M. G., Leij, F. J., & W\u00f6sten, J. H. M. (2001). Description of the unsaturated soil hydraulic database UNSODA version 2.0. Journal of Hydrology, 251(3-4), 151-162.", "Ottoni, M. V., Ottoni Filho, T. B., Schaap, M. G., Lopes-Assad, M. L. R., & Rotunno Filho, O. C. (2018). Hydrophysical database for Brazilian soils (HYBRAS) and pedotransfer functions for water retention. Vadose Zone Journal, 17(1).", "Schindler, U. G., & M\u00fcller, L. (2017). Soil hydraulic functions of international soils measured with the Extended Evaporation Method (EEM) and the HYPROP device. Open Data Journal for Agricultural Research, 3.", "Weiherm\u00fcller, L., Vanderborght, J., Pachepsky, Y. A., & Mao, L. (2018). Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, 10.", "USDA Natural Resources Conservation Service (2017). National Cooperative Soil Characterization Database. NRCS. https://data.nal.usda.gov/dataset/national-cooperative-soil-characterization-database"]}