Assessment of Spectral Indices for Detecting Rice Phenological Stages Using Long-Term In Situ Hyperspectral Observations and Sentinel-2 Data
Efficient and reliable estimation of rice phenological stages is crucial for improving yield prediction, optimizing irrigation, and guiding fertilization management. Spectral indices (SIs) derived from remote sensing have demonstrated strong potential for phenology detection. However, the suitabilit...
Bewaard in:
| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2026-01-01
|
| Reeks: | AgriEngineering |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2624-7402/8/1/14 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|