RT info:eu-repo/semantics/article
T1 Seasonal crop water balance using harmonized Landsat-8 and Sentinel-2 time series data
A1 Gavilán, Viviana
A1 Lillo Saavedra, Mario
A1 Holzapfel, Eduardo
A1 Rivera Salazar, Diego
A1 García Pedrero, Ángel Mario
K1 Evapotranspiration
K1 Evapotranspiración
K1 Agricultural water
K1 Agua agrícola
AB Efficient water management in agriculture requires a precise estimate of evapotranspiration ( ET ). Although local measurements can be used to estimate surface energy balance components, these values cannot be extrapolated to large areas due to the heterogeneity and complexity of agriculture environment. This extrapolation can be done using satellite images that provide information in visible and thermal infrared region of the electromagnetic spectrum; however, most current satellite sensors do not provide this end, but they do include a set of spectral bands that allow the radiometric behavior of vegetation that is highly correlated with the ET . In this context, our working hypothesis states that it is possible to generate a strategy of integration and harmonization of the Normalized Difference Vegetation Index ( NDVI ) obtained from Landsat-8 ( L8 ) and Sentinel-2 ( S2 ) sensors in order to obtain an NDVI time series used to estimate ET through fit equations specific to each crop type during an agricultural season (December 2017–March 2018). Based on the obtained results it was concluded that it is possible to estimate ET using an NDVI time series by integrating data from both sensors L8 and S2 , which allowed to carry out an updated seasonal water balance over study site, improving the irrigation water management both at plot and water distribution system scale.
PB MDPI
SN 2073-4441
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/53729
UL https://uvadoc.uva.es/handle/10324/53729
LA eng
NO Water, 2019, vol. 11, n. 11, 2236
NO Producción Científica
DS UVaDOC
RD 27-nov-2024