Very high resolution satellite-based monitoring of crop (olive trees) evapotranspiration in precision agriculture

Abstract

Remote Sensing contributes through the processing and analysis of very high spatial and spectral resolution time series satellite data to a decision support at field level. In this paper, in the olive tree farms of the Agricultural Association of Messolonghi-Nafpaktia, the extraction of Kc and various vegetation indices, such as chlorophyll and red-edge, are presented aiming at the assessment of crop evapotranspiration and irrigation/fertiliser inflows during a period of 24 months. The methodology includes the generation of red-edge, chlorophyll and FPAR indices based on the second NIR band of WV-2, and clustering. The so-called ETc(satellite) produced by using the reference ETo from FAO-56 Penman-Monteith equation, meteorological data set and Kc(satellite) extracted by NDVI utilising the red-edge and second NIR bands of WV-2, respectively. The dynamic ETd compared with ETc. The applied methodology proved to be very useful for the implementation and verification of AGRO 2.1 and 2.2 standards. Copyright © 2020 Inderscience Enterprises Ltd.