Data for: Water productivity assessments for dwarf coconut by using Landsat 8 images and agrometeorological data

Published: 22 July 2019| Version 1 | DOI: 10.17632/k9pbvgb3rx.1
Antônio Heriberto Teixeira, Fabio Miranda, Janice Leivas, Edson Pacheco, Edlene Garçon


In the coastal areas of Northeast Brazil, coconut growers are replacing the tall varieties by the dwarf ones, following incentives for the coconut’s water market. The current study aimed dwarf coconut water productivity (WP) assessments to subsidize the rational irrigation scheduling of dwarf coconut orchards, by using Landsat 8 images together with agrometeorological data during the year 2016 in the Camocim County, coastal zone of the Ceará state. The SAFER algorithm was used to acquire the actual evapotranspiration (ET), while for the biomass production (BIO) estimations we applied the Monteith’s radiation use efficiency model (RUE). The highest ET and BIO rates, above 4.0 mm d-1 and 140 kg ha-1 d-1, respectively, happened from May to July, retrieving WP pixel values (BIO/ET) larger than 3.5 kg m-3. From the moisture indicator tendencies, considered as the ratio of ET to reference evapotranspiration (ET0), it was noticed some water stress conditions, with ET/ET0 dropping below 0.60 from the start of August to the end of the year, affecting the WP values. Considering also WP in terms of fruits and coconut’s water produced, it averaged 1.9 coconut fruits and 0.8 liters of coconut water per cubic meter of water consumed, respectively. The models tested can be employed as a tool for management, agro-climatic zonation and irrigation scheduling for dwarf coconut in the Brazilian Northeast.



Applied Sciences, Remote Sensing, Agrometeorology, Irrigation