Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Tillage Erosion Model× | Precīzā lauksaimniecība ar NDVI× | |
|---|---|---|
| Nozare | Agronomija | Agronomija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1992 | 1973 |
| Autors≠ | M. J. Lindstrom, W. W. Nelson, T. E. Schumacher | John W. Rouse, Richard H. Haas |
| Tips≠ | Physical transport and modeling pipeline | Geospatial monitoring pipeline |
| Pirmavots≠ | Lindstrom, M. J., Nelson, W. W., & Schumacher, T. E. (1992). Soil movement by tillage as affected by slope. Soil Science Society of America Journal, 56(4), 1104-1108. link ↗ | Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In Third Earth Resources Technology Satellite symposium, Washington, DC. link ↗ |
| Citi nosaukumi | Tillage soil loss, Soil redistribution model, Erosion prediction | NDVI remote sensing, Vegetation index monitoring, Satellite crop monitoring |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Tillage Erosion Model is a physical transport and modeling pipeline for predicting soil movement and redistribution caused by tillage operations on sloping land. Developed by soil scientists (Lindstrom, Nelson, Lobb) in the 1990s–2000s, this method quantifies how plowing, disking, and other soil-disturbing implements physically move soil downslope, leading to long-term productivity loss on upper slopes and soil accumulation in valleys. | Precision Agriculture with NDVI is a geospatial monitoring pipeline for assessing crop vigor, health, and productivity using the Normalized Difference Vegetation Index (NDVI) derived from satellite or drone imagery. Developed by Rouse and colleagues (1973), this method enables rapid, non-destructive assessment of spatial variation in crop performance and informs variable-rate management decisions. |
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