Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Vispārējā cirkulācijas modelis× | NDVI× | |
|---|---|---|
| Nozare | Ģeofizika | Ģeofizika |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1975 | 1973 |
| Autors≠ | Syukuro Manabe and Richard Wetherald | Rouse, Haas, Schell, and Deering |
| Tips≠ | Deterministic coupled atmosphere-ocean simulation | Spectral index for vegetation assessment |
| Pirmavots≠ | Manabe, S., & Wetherald, R. T. (1975). The effects of doubling the CO2 concentration on the climate of a general circulation model. Journal of the Atmospheric Sciences, 32(1), 3-15. DOI ↗ | Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. Third Earth Resources Technology Satellite Symposium Proceedings, 1, 309-317. link ↗ |
| Citi nosaukumi≠ | GCM, Global Climate Model | NDVI |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | A General Circulation Model (GCM), also called a Global Climate Model, is a three-dimensional numerical representation of the Earth's atmosphere, oceans, ice, and land surface that simulates physical processes governing weather and climate. Pioneered by Manabe and Wetherald in 1975, GCMs are the primary tools for understanding past climate, projecting future climate change, and investigating climate sensitivity to greenhouse gases and other forcings. | The Normalized Difference Vegetation Index (NDVI) is a spectral index computed from satellite or aerial multispectral imagery that quantifies vegetation greenness and vigor. Introduced by Rouse and colleagues in 1973 using Landsat data, NDVI has become the most widely used remote sensing metric for vegetation monitoring, drought assessment, crop productivity forecasting, and land cover change detection. |
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