Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data
In this paper, we investigated the monitoring and characterization of the pest Magnaporthe oryzae, known as rice blast, in the Bomba rice variety at the Albufera Natural Park, located in Valencia, Spain during the 2022 and 2023 seasons. Using reflectance data from different Sentinel-2 satellite b...
| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.11939/8975 https://www.mdpi.com/2077-0472/14/8/1385 |
| Sumario: | In this paper, we investigated the monitoring and characterization of the pest Magnaporthe
oryzae, known as rice blast, in the Bomba rice variety at the Albufera Natural Park, located in Valencia,
Spain during the 2022 and 2023 seasons. Using reflectance data from different Sentinel-2 satellite
bands, various vegetative indices were calculated for each year. Significant differences in reflectance
in the visible (B4), infrared (B8), red-edge (B6 and B7), and SWIR (B11) bands were detected between
healthy and unhealthy fields. Additionally, variations were observed in the vegetation indices, with
RVI and IRECI standing out for their higher accuracy in identifying blast-affected plots compared
to NDVI and NDRE. Early differences in band values, vegetative indices, and spectral signatures
were observed between the unhealthy and healthy plots, allowing for the anticipation of control
treatments, whose effectiveness relies on timely intervention. |
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