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| 토양 생성 모델링× | 디지털 토양 매핑× | |
|---|---|---|
| 분야 | 농학 | 농학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1941 (Jenny's factorial model); process-based numerical models from 1990s onward | Late 1990s – early 2000s (formalised ~2003) |
| 창시자≠ | Hans Jenny (foundational framework); later extended by multiple contributors including Simonson, Hoosbeek, and Bryant | Multiple contributors; foundational framework by Alex McBratney and colleagues |
| 유형≠ | Quantitative process-based simulation model | Spatial prediction and mapping pipeline |
| 원전≠ | Minasny, B., Finke, P., Stockmann, U., Vanwalleghem, T., & McBratney, A. B. (2015). Resolving the integral connection between pedogenesis and landscape evolution. Earth-Science Reviews, 150, 102–120. DOI ↗ | McBratney, A. B., Mendonca Santos, M. L., & Minasny, B. (2003). On digital soil mapping. Geoderma, 117(1–2), 3–52. DOI ↗ |
| 별칭 | soil formation modeling, soil genesis simulation, pedogenic process modeling, quantitative pedology | DSM, predictive soil mapping, quantitative soil-landscape modelling, geostatistical soil mapping |
| 관련 | 1 | 1 |
| 요약≠ | Pedogenesis modeling is a quantitative method used in agronomy and soil science to simulate the processes by which soils form and evolve over time. Rooted in Hans Jenny's 1941 factorial framework — soil as a function of climate, organisms, relief, parent material, and time — modern approaches translate these conceptual drivers into coupled numerical process equations, allowing researchers to reconstruct past soil states and project future soil properties under changing land use or climate scenarios. | Digital Soil Mapping (DSM) is a quantitative, data-driven pipeline that predicts the spatial distribution of soil properties and classes across a landscape by statistically linking field observations to environmental covariates — terrain attributes, remote sensing imagery, climate surfaces, and geology layers. The approach replaces or augments traditional expert-drawn soil surveys with reproducible, spatially explicit models, and is applied in agronomy, land management, food security, and environmental assessment. |
| ScholarGate데이터셋 ↗ |
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