Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Общая циркуляционная модель× | Индекс нормализованного различия (NDVI)× | |
|---|---|---|
| Область | Геофизика | Геофизика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1975 | 1973 |
| Автор метода≠ | Syukuro Manabe and Richard Wetherald | Rouse, Haas, Schell, and Deering |
| Тип≠ | Deterministic coupled atmosphere-ocean simulation | Spectral index for vegetation assessment |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия≠ | GCM, Global Climate Model | NDVI |
| Связанные | 3 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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