Estimating soybean yield using time series of anomalies in vegetation indices from MODIS
An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to its spatiotemporal coverage, for developing empirical models to predict and evalua...
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| Autores principales: | , , , , |
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| Formato: | Objeto de conferencia Resumen |
| Lenguaje: | Inglés |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/140705 http://50jaiio.sadio.org.ar/pdfs/cai/CAI-23.pdf |
| Aporte de: |
| Sumario: | An accurate estimation of soybean yield while the plants are still in the field is highly necessary for industry applications and decision-making policies related to planning. Remote sensing is a powerful tool, due to its spatiotemporal coverage, for developing empirical models to predict and evaluate crop yields at regional and national scales. |
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