Next Article in Journal
The Effects of Forest Area Changes on Extreme Temperature Indexes between the 1900s and 2010s in Heilongjiang Province, China
Next Article in Special Issue
Satellite-Based Mapping of Cultivated Area in Gash Delta Spate Irrigation System, Sudan
Previous Article in Journal
Chlorophyll Fluorescence Data Reveals Climate-Related Photosynthesis Seasonality in Amazonian Forests
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessTechnical Note
Remote Sens. 2017, 9(12), 1276;

Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient

Instituto de Investigaciones Agropecuarias INIA—Intihuasi, Colina San Joaquín sn, Casilla 36-B, La Serena 1720237, Chile
GIS and Remote Sensing Group, Institute for Regional Development, University of Castilla-La Mancha, Campus Universitario SN, 02071 Albacete, Spain
Author to whom correspondence should be addressed.
Received: 17 October 2017 / Revised: 2 December 2017 / Accepted: 5 December 2017 / Published: 8 December 2017
(This article belongs to the Special Issue Remote Sensing for Crop Water Management)
Full-Text   |   PDF [1850 KB, uploaded 8 December 2017]   |  


In this paper, we present the results of our study on the operational application of the reflectance-based crop coefficient for assessing table grape irrigation requirements. The methodology was applied to provide irrigation advice and to assess the irrigation performance. The net irrigation water requirements (NIWR) simulated using the reflectance-based basal crop coefficient were provided to the farmer during the growing season and compared with the actual irrigation volumes applied. Two treatments were implemented in the field, increasing and reducing the irrigation doses by 25%, respectively, compared to the regular management. The experiment was carried out in a commercial orchard during three consecutive growing seasons in Northern Chile. The NIWR based on the model was approximately 900 mm per season for the orchard at tree maturity. The experimental results demonstrate that the regular irrigation applied covered only 76% of the NIWR for the whole season, and the analysis of monthly and weekly accumulated values indicates several periods of water shortage. The regular management system tended to underestimate the water requirements from October to January and overestimate the water requirements after harvest from February to April. The level of the deficit of water was quantified using such plant physiological parameters as stem water potential, vegetative development (coverage), and fruit productivity. The estimated NIWR was roughly covered in the treatment where the irrigation dose was increased, and the analyses of the crop production and fruit quality point to the relative advantage of this treatment. Finally, we conclude that the proposed approach allows the analysis of irrigation performance on the scale of commercial fields. These analytic capabilities are based on the well-demonstrated relationship of the crop evapotranspiration with the information provided by satellite images, and provide valuable information for irrigation management by identifying periods of water shortage and over-irrigation. View Full-Text
Keywords: crop water requirements; NDVI; crop coefficient; earth observation; evapotranspiration; plant water status; table grape crop water requirements; NDVI; crop coefficient; earth observation; evapotranspiration; plant water status; table grape

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Balbontín, C.; Campos, I.; Odi-Lara, M.; Ibacache, A.; Calera, A. Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient. Remote Sens. 2017, 9, 1276.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top