Soil geography and land evaluation¶
Soil geographic databases¶
An attempt to catalogue all freely-downloadable primary soils information usable in a GIS. Some of the linked sites also have interpreted information.
Access ISRIC’s WoSIS Soil Profile Database, using R Markdown scripts. WoSIS is explained in this paper (DOI: https://doi.org/10.5194/essd-9-1-2017)
Processing the Harmonized World Soil Database (Version 1.2) in R
The HWSD is a harmonized map and linked attribute table of the World’s soils, at a nominal scale of 1:1M. It is intended for global or regional modelling. This semi-expert approach, based on legacy maps and expert judgement, has been somewhat superseded by ISRIC’s SoilGrids 250m resolution raster layers.
Video: ISRIC-World Soil Information: providing consistent information on the world’s soils (Cornell seminar, 25-Jan-2020)
My introduction to ISRIC-World Soil Information
Presentation: Three thoughts on soil class maps: (1) Evaluating classification accuracy (2) Taxonomic vs. geographic soil classes (3) Soil geoforms & phenoforms (Cornell seminar, 22-March-2018)
Video: Can citizen science be used to support digital soil mapping? (Cornell seminar, 18-Mar-2016)
Based on this paper: 10.1016/j.geoderma.2015.05.006
Video: GSIF course: Digital soil resource inventories stutus and prospects (ISRIC Spring School, 3-Aug-2015)
Somewhat outdated but interesting history. Based on this book chapter: 10.1007/978-981-10-0415-5_22
Representative Fraction; Maximum Location Accuracy; Minimum Legible Area; Maximum/Minimum number of field observations; Grid resolution
Land suitability evaluation¶
- Rossiter, DG (2003) Biophysical models in land evaluation. Article 1.5.27 in Theme 1.5 Land Use and Land Cover, Verheye, W.H. (ed.), in Encyclopedia of Life Support Systems (EOLSS), developed under the auspices of the UNESCO. Oxford: EOLSS Publishers.
- Lecture: Methods and models in land evaluation
- Cornell course: SCAS 494: Land Suitability Evaluation
Rossiter, D. G., Zeng, R., & Zhang, G.-L. (2017). Accounting for taxonomic distance in accuracy assessment of soil class predictions. Geoderma, 292, 118–127. DOI: 10.1016/j.geoderma.2017.01.012
Rossiter, D. G., & Bouma, J. (2018). A new look at soil phenoforms - Definition, identification, mapping. Geoderma, 314, 113–121. DOI:10.1016/j.geoderma.2017.11.002
Forbes, T. R., Rossiter, D. G., & Van Wambeke, A R. (1982). Guidelines for evaluating the adequacy of soil resources inventories, SMSS Technical Monograph No. 4. Soil Management Support Service, USDA/Soil Conservation Service, Washington, DC. 50pp.
Somewhat outdated but perhaps a useful introduction to traditional soil survey concepts. If you can find it, Dent, D., & Young, A. (1981). Soil survey and land evaluation. George Allen & Unwin, ISBN 978-0-04-631013-4 is a more formal introduction to this topic.
El anterior, traducido y adaptado al Español por Ronald Vargas Rojas, Universidad Mayor de San Simón, Bolivia (2004)
El anterior, traducido y adaptado al Español por Ronald Vargas Rojas, Universidad Mayor de San Simón, Bolivia y FAO-Proyecto SWALIM (2006)
Atkilt Girma; Rossiter, D. G.; Siderius, W; & Henneman, R. (2001). Soils of the Lake Naivasha area, Kenya: Summary of investigations by the Soil Science Division, ITC , Technical Report ITC Soil Science Division, Enschede, NL, July 2001
Atkilt Girma & Rossiter, D. G. (2001). Soil investigations on the Sulmac farm, Naivasha, Kenya by the Soil Science Division, ITC, Technical Report ITC Soil Science Division, Enschede, NL, July 2001
Husnjak, S., Rossiter, D.G., Hengl, T., & Miloš, B. (2004) Soil inventory and soil classification in Croatia: historical review, current activities, future directions
Cambule, A. H. (Armindo); Rossiter, D. G. (David) (2013). Limpopo National Park (Mozambique) Soil Organic Carbon study. University of Twente. Dataset. doi: 10.4121/uuid:6cb98f84-f0de-47d4-8a2c-d6aaeaf5db08
Data source for DOI: 10.1016/j.geoderma.2013.07.015
A computer program that allows land evaluators to build expert systems to evaluate land according to the method presented in the Food and Agriculture Organization’s “Framework for Land Evaluation” (1976) and subsequent Guidelines. Last updated 1996, runs under Microsoft MS-DOS v2.3 or higher, and under MS-DOS emulators.
Simulates subdivisions of USDA Soil Taxonomy soil moisture & temperature regimes for well-drained soils, from a time-sequence of monthly climate data. These pages also have links to more modern methods.
Riha, Susan J., Rossiter, DG, and Simoens, Patrick (1994). GAPS: General-purpose Atmosphere-Plant-Soil Simulator. Version 3.0 User’s Manual. Ithaca, NY: Cornell University Department of Soil, Crop & Atmospheric Sciences. 195pp.
This program has since become a Windows program (sorry I can’t find a link) but this manual explains the principles of the simulation models.
Last modified 06-May-2020