N: 90 S: -90 E: 180 W: -180
Description
A global data set of soil types is available at 0.5-degree latitude by 0.5-degree longitude resolution. There are 106 soil units, based on Zobler?s (1986) assessment of the FAO/UNESCO Soil Map of the World. This data set is a conversion of the Zobler 1-degree resolution version to a 0.5-degree resolution. The resolution of the data set was not actually increased. Rather, the 1-degree squares were divided into four 0.5-degree squares with the necessary adjustment of continental boundaries and islands. The computer code used to convert the original 1-degree data to 0.5-degree is provided as a companion file. A JPG image of the data is provided in this document. The Zobler data (1-degree resolution) as distributed by Webb et al. (1993) [http://www.ngdc.noaa.gov/seg/eco/cdroms/gedii_a/datasets/a12/wr.htm#top] contains two columns, one column for continent and one column for soil type. The Soil Map of the World consists of 9 maps that represent parts of the world. The texture data that Webb et al.(1993) provided allowed for the fact that a soil type in one part of the world may have different properties than the same soil in a different part of the world. This continent-specific information is retained in this 0.5-degree resolution data set, as well as the soil type information which is the second column. A code was written (one2half.c) to take the file CONTIZOB.LER distributed by Webb et al. (1993) [http://www.ngdc.noaa.gov/seg/eco/cdroms/gedii_a/datasets/a12/wr.htm#top] and simply divide the 1-degree cells into quarters. This code also reads in a land/water file (land.wave) that specifies the cells that are land at 0.5 degrees. The code checks for consistency between the newly quartered map and the land/water map to which the quartered map is to be registered. If there is a discrepancy between the two, an attempt was made to make the two consistent using the following logic. If the cell is supposed to be water, it is forced to be water. If it is supposed to be land but was resolved to water at 1 degree, the code looks at the surrounding 8 cells and picks the most frequent soil type and assigns it to the cell. If there are no surrounding land cells then it is kept as water in the hopes that on the next pass one or more of the surrounding cells might be converted from water to a soil type. The whole map is iterated 5 times. The remaining cells that should be land but couldn't be determined from surrounding cells (mostly islands that are resolved at 0.5 degree but not at 1 degree) are printed out with coordinate information. A temporary map is output with -9 indicating where data is required. This is repeated for the continent code in CONTIZOB.LER as well. A separate map of the temporary continent codes is produced with -9 indicating required data. A nearly identical code (one2half.c) does the same for the continent codes. The printout allows one to consult the printed versions of the soil map and look up the soil type with the largest coverage in the 0.5-degree cell. The program manfix.c then will go through the temporary map and prompt for input to correct both the soil codes and the continent codes for the map. This can be done manually or by preparing a file of changes (new_fix.dat) and redirecting stdin. A new complete version of the map is outputted. This is in the form of the original CONTIZOB.LER file (contizob.half) but four times larger. Original documentation and computer codes prepared by Post et al. (1996) are provided as companion files with this data set. Image of 106 global soil types available at 0.5-degree by 0.5-degree resolution. Additional documentation from Zobler?s assessment of FAO soil units is available from the NASA Center for Scientific Information.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
Documents
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Impacts of land-use change on biospheric carbon: an oriented benchmark using ORCHIDEE land surface model | Dinh, Thi Lan Anh, Goll, Daniel, Ciais, Philippe, Lauerwald, Ronny | Vegetation Index, Evergreen Vegetation, Dominant Species, Deciduous Vegetation, Carbon, Biomass, Forests, Ecosystem Functions, Precipitation Amount, Cloud Frequency, Evaporation, Air Temperature, Solar Radiation, Longwave Radiation, Forest Management, Vegetation Species, Land Management, Soil Moisture/Water Content, Soil Texture, Terrain Elevation, Soil Classification | |
| Digital library software tool for land use planning under Karnataka Watershed Management System, India | Srinivas, S., Hegde, Rajendra, Dharumarajan, S., Karunya Lakshmi, K., Seema, K.V., Venkatesh, D.H., Archana, K.V., Devendra Prasad, A.G., Vasundhara, R., Kalaiselvi, B., Srinivasan, R. | Soil Classification, Soil Texture | |
| WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting | Demir, Ibrahim, Xiang, Zhongrun, Demiray, Bekir, Sit, Muhammed | Soil Classification, Soil Texture | |
| How head shape and substrate particle size affect fossorial locomotion in lizards | Bergmann, Philip J., Berry, David S. | Soil Classification, Soil Texture | |
| Examining the sensitivity of the terrestrial carbon cycle to the | Teckentrup, Lina, De Kauwe, Martin G., Pitman, Andrew J., Smith, Benjamin | Soil Classification, Soil Texture | |
| Evaluation of drought representation and propagation in regional climate model simulations across Spain | Barella-Ortiz, Anais, Quintana-Segui, Pere | Soil Classification, Soil Texture | |
| Accumulation over evolutionary time as a major cause of biodiversity hotspots in conifers | Sundaram, Mekala, Donoghue, Michael J., Farjon, Aljos, Filer, Denis, Mathews, Sarah, Jetz, Walter, Leslie, Andrew B. | Soil Classification, Soil Texture | |
| Sensitivity of isoprene emissions to drought over south-eastern Australia: Integrating models and satellite observations of soil moisture | Emmerson, Kathryn M., Palmer, Paul I., Thatcher, Marcus, Haverd, Vanessa, Guenther, Alex B. | Soil Classification, Soil Texture | |
| Divergent biomass partitioning to aboveground and belowground across forests in China | Sun, Jian, Niu, Shuli, Wang, Jinniu | Soil Classification, Soil Texture | |
| Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula | Barella-Ortiz, Anais, Polcher, Jan, de Rosnay, Patricia, Piles, Maria, Gelati, Emiliano | Soil Classification, Soil Texture | |
| Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula | Polcher, Jan, Piles, Maria, Gelati, Emiliano, Barella-Ortiz, Anais, Tello, Marivi | Soil Classification, Soil Texture | |
| Incorporating root hydraulic redistribution in CLM4.5: Effects on predicted site and global evapotranspiration, soil moisture, and water storage | Tang, Jinyun, Riley, William J., Niu, Jie | Soil Classification, Soil Texture | |
| Rapid evolution and range expansion of an invasive plant are driven by provenance-environment interactions | Zenni, Rafael D., Bailey, Joseph K., Simberloff, Daniel | Soil Classification, Soil Texture | |
| Data-Model Needs for Belowground Ecology. A Summary Report from the Terrestrial Ecosystem Science (TES) Mini-Workshop, May 8, 2014 | Bailey, Vanessa, Hanson, Paul J., Jastrow, Julie, Torn, Margaret, Stover, Daniel | Organic Matter, Soil Bulk Density, Soil Classification, Soil Depth, Soil Moisture/Water Content, Soil Texture, Phosphorus, Soil Chemistry, Soil Chemistry, Soil Respiration, Soil Respiration, Atmospheric Carbon Dioxide, Air Temperature, Precipitation Amount, Soil Water Holding Capacity, Biomass, Nutrients, Plant Characteristics, Photosynthetically Active Radiation, Carbon, Forests, Respiration Rate, Primary Production, Heat Flux, Sediment Transport, Carbon, Nitrogen, Land Use/Land Cover Classification, Vegetation Index, Vegetation Cover, Leaf Characteristics, Canopy Characteristics, Albedo, Reflectance, Water Table, Soil Classification, Geomorphic Landforms/Processes, Soil Color, Soil Horizons/Profile, Soil Structure, Soil Ph, Drainage, Terrain Elevation, Methane, Nitric Oxide, Nitrous Oxide, Litter Characteristics, Soil Gas/Air, Isotopes, Reforestation/Revegetation, Soil Gas/Air, Ammonia, Nitrogen Oxides, Ecosystem Functions, Cation Exchange Capacity, Suspended Solids, Forest Composition/Vegetation Structure, Leaf Area Index (LAI), Vegetation Species, Humidity, Soil Moisture, Soil Porosity, Nitrogen, Trace Gases/Trace Species, Soil Fertility, Permafrost, Calcium, Potassium, Magnesium, Total Dissolved Solids, Wetlands, Inundation, Soil Moisture/Water Content, Carbon, Nitrous Oxide, Discharge, Groundwater Chemistry, Discharge/Flow, Surface Water Chemistry, Biogeochemical Cycles | |
| Determinants of the interannual relationships between remote sensed photosynthetic activity and rainfall in tropical Africa | CAMBERLIN, P, MARTINY, N, PHILIPPON, N, RICHARD, Y | Soil Porosity, Carbon, Organic Matter, Soil Chemistry, Soil Moisture/Water Content, Soil Ph, Soil Classification, Soil Texture, Suspended Solids | |
| Can the invaded range of a species be predicted sufficiently using only native-range data? | Mau-Crimmins, Theresa M., Schussman, Heather R., Geiger, Erika L. | Soil Classification, Soil Texture | |
| Simulated ecosystem threshold responses to covarying temperature, precipitation and atmospheric CO2 within a region of Amazonia | Cowling, Sharon A., Shin, Younglan | Soil Classification, Soil Texture |