Soil feature data are important sources of field-based information when the potential fertility of a site, such as for food production, requires thorough evaluation. The pedosphere, consisting of soil layers, units, and pedons, is often referred to as the Earth’s living skin (epiderm). The pedosphere envelopes the land surface and sustains life on our planet. Therefore, measuring and monitoring soil properties and mapping soil units for spatial planning and management are crucial tasks. Soils are four-dimensional systems with components that constantly change and evolve (Schaetzl and Thompson 2015). They can, however, be degraded due to mass movements (landslides), water and aeolian (wind) erosion, or human impacts. The International Union of Soil Sciences (IUSS) defines material that can be considered soil as “any material within 2 m of the Earth’s surface that is in contact with the atmosphere, excluding living organisms, areas with continuous ice not covered by other material, and water bodies deeper than 2 m” (IUSS Working Group WRB 2022). There is a long list of soil features that can be measured and described, such as soil structure, depth, texture, color, consistency, and porosity ( https://www.fao.org/soils-portal/data-hub/soil-properties/physical-properties/en/ ). All of these properties require extensive fieldwork and laboratory analyses to be fully understood. Because several steps are required to obtain full knowledge of soils, starting from field sampling and description, there is a certain fraction of uncertainty associated with each observation. In addition, soil collection, analysis, and interpretation are expensive and require a substantial financial budget, especially when several analyses are to be completed for a large area. Finally, some places are extremely difficult to reach. Therefore, we may never obtain comprehensive knowledge of soils or complete coverage of the land surface with detailed soil information. Owing to these factors, scientists use indirect data to estimate potential soil properties.

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Soil Data Structure, Properties, and Visualization

  • Łukasz Pawlik

摘要

Soil feature data are important sources of field-based information when the potential fertility of a site, such as for food production, requires thorough evaluation. The pedosphere, consisting of soil layers, units, and pedons, is often referred to as the Earth’s living skin (epiderm). The pedosphere envelopes the land surface and sustains life on our planet. Therefore, measuring and monitoring soil properties and mapping soil units for spatial planning and management are crucial tasks. Soils are four-dimensional systems with components that constantly change and evolve (Schaetzl and Thompson 2015). They can, however, be degraded due to mass movements (landslides), water and aeolian (wind) erosion, or human impacts. The International Union of Soil Sciences (IUSS) defines material that can be considered soil as “any material within 2 m of the Earth’s surface that is in contact with the atmosphere, excluding living organisms, areas with continuous ice not covered by other material, and water bodies deeper than 2 m” (IUSS Working Group WRB 2022). There is a long list of soil features that can be measured and described, such as soil structure, depth, texture, color, consistency, and porosity ( https://www.fao.org/soils-portal/data-hub/soil-properties/physical-properties/en/ ). All of these properties require extensive fieldwork and laboratory analyses to be fully understood. Because several steps are required to obtain full knowledge of soils, starting from field sampling and description, there is a certain fraction of uncertainty associated with each observation. In addition, soil collection, analysis, and interpretation are expensive and require a substantial financial budget, especially when several analyses are to be completed for a large area. Finally, some places are extremely difficult to reach. Therefore, we may never obtain comprehensive knowledge of soils or complete coverage of the land surface with detailed soil information. Owing to these factors, scientists use indirect data to estimate potential soil properties.