Characterization of olive plantations from LANDSAT images
Remote sensing allows us to record the energy reflected by crops, to study their spatial and temporal variability. The objective of the work was to determine relationships between cultural management characteristics of olive plantations (Olea Europaea L.) and data derived from remote sensing. Eight...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Faculta de Ciencias Agropecuarias. Secretaría de Ciencia y Tecnología.
2020
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| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/nexoagro/article/view/27699 |
| Aporte de: |
| Sumario: | Remote sensing allows us to record the energy reflected by crops, to study their spatial and temporal variability. The objective of the work was to determine relationships between cultural management characteristics of olive plantations (Olea Europaea L.) and data derived from remote sensing. Eight lots located in La Rioja were surveyed during the period 2016-2018. Age, conduction system and irrigation were recorded. From 72 Landsat 8 images, the Normalized Difference Vegetation Index (NDVI) was obtained for each lot, a time series (2013-2019) was constructed and descriptive statistics of the index were calculated. The results allowed us to differentiate young growing plantations from adult plantations at the zenith of production. The temporal frequency of data collection made it possible to discriminate lots by age, type of irrigation system, and to identify times when specific tasks such as harvesting, suspension in the water supply and rainfall anomalies were carried out. |
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