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Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data
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Orientador(es)
Resumo(s)
A new procedure is proposed for estimating actual basal crop coefficients from
vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for
bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is
also estimated from vegetation indices derived from remote sensing. A combined approach
for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by
integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water
balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that
the approaches for estimating both fc VI and Kcb VI compared well with results obtained using
the SIMDualKc model after calibration with ground observation data. For the crops studied,
the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb
and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The
corresponding regression coefficients were close to 1.0. The methodology herein presented
and discussed allowed for obtaining information for the whole crop season, including periods
when vegetation cover is incomplete, as the initial and development stages. Results show that
the proposed methods are adequate for supporting irrigation management
Descrição
Palavras-chave
actual basal crop coefficient evapotranspiration evaporation coefficient fraction of ground cover remote sensing SIMDualKc model water stress coefficient NDVI SAVI
Contexto Educativo
Citação
Remote Sens. 2015, 7, 2373-2400
Editora
MDPI