| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 4.03 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The success of an irrigation decision support system (DSS) much depends on the reliability
of the information provided to farmers. Remote sensing data can expectably help validate that
information at the field scale. In this study, the MOHID-Land model, the core engine of the IrrigaSys
DSS, was used to simulate the soil water balance in an irrigated vineyard located in southern Portugal
during three growing seasons. Modeled actual basal crop coefficients and transpiration rates were
then compared with the corresponding estimates derived from the normalized difference vegetation
index (NDVI) computed from Sentinel-2 imagery. On one hand, the hydrological model was able
to successfully estimate the soil water balance during the monitored seasons, exposing the need for
improved irrigation schedules to minimize percolation losses. On the other hand, remote sensing
products found correspondence with model outputs despite the conceptual differences between
both approaches. With the necessary precautions, those products can be used to complement the
information provided to farmers for irrigation of vine crop, further contributing to the regular
validation of model estimates in the absence of field datasets
Descrição
Palavras-chave
crop evapotranspiration modeling sentinel sensors soil water balance vegetation indices
Contexto Educativo
Citação
Ramos, T.B.; Simionesei, L.; Oliveira, A.R.; Neves, R.; Darouich, H. Exploring the Use of Vegetation Indices for Validating Crop Transpiration Fluxes Computed with the MOHID-Land Model. Application to Vineyard. Agronomy 2021, 11, 1228
Editora
MDPI
