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Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia

The crop Water Footprint (WF) can provide a comprehensive knowledge of the use of water through the demarcation of the amount of the water consumed by different crops. The WF has three components: green (WF(g)), blue (WF(b)) and grey (WF(gr)) water footprints. The WF(g) refers to the rainwater store...

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Autores principales: Madugundu, Rangaswamy, Al-Gaadi, Khalid A., Tola, ElKamil, Hassaballa, Abdalhaleem A., Kayad, Ahmed G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809052/
https://www.ncbi.nlm.nih.gov/pubmed/29432446
http://dx.doi.org/10.1371/journal.pone.0192830
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author Madugundu, Rangaswamy
Al-Gaadi, Khalid A.
Tola, ElKamil
Hassaballa, Abdalhaleem A.
Kayad, Ahmed G.
author_facet Madugundu, Rangaswamy
Al-Gaadi, Khalid A.
Tola, ElKamil
Hassaballa, Abdalhaleem A.
Kayad, Ahmed G.
author_sort Madugundu, Rangaswamy
collection PubMed
description The crop Water Footprint (WF) can provide a comprehensive knowledge of the use of water through the demarcation of the amount of the water consumed by different crops. The WF has three components: green (WF(g)), blue (WF(b)) and grey (WF(gr)) water footprints. The WF(g) refers to the rainwater stored in the root zone soil layer and is mainly utilized for agricultural, horticultural and forestry production. The WF(b), however, is the consumptive use of water from surface or groundwater resources and mainly deals with irrigated agriculture, industry, domestic water use, etc. While the WF(gr) is the amount of fresh water required to assimilate pollutants resulting from the use of fertilizers/agrochemicals. This study was conducted on six agricultural fields in the Eastern region of Saudi Arabia, during the period from December 2015 to December 2016, to investigate the spatiotemporal variation of the WF of silage maize and carrot crops. The WF of each crop was estimated in two ways, namely agro-meteorological (WF(Agro)) and remote sensing (WF(RS)) methods. The blue, green and grey components of WF(Agro) were computed with the use of weather station/Eddy covariance measurements and field recorded crop yield datasets. The WF(RS) estimated by applying surface energy balance principles on Landsat-8 imageries. However, due to non-availability of Landsat-8 data on the event of rainy days, this study was limited to blue component (WF(RS-b)). The WF(Agro) of silage maize was found to range from 3545 m(3) t(-1) to 4960 m(3) t(-1); on an average, the WF(Agro-g), WF(Agro-b), and WF(Agro-gr) are composed of < 1%, 77%, and 22%, respectively. In the case of carrot, the WF(Agro) ranged between 297 m(3) t(-1) and 502 m(3) t(-1). The WF(Agro-g) of carrot crop was estimated at <1%, while WF(Agro-b) and WF(Agro-gr) was 67% and 32%, respectively. The WF(Agro-b) is occupied as a major portion in WF of silage maize (77%) and carrot (68%) crops. This is due to the high crop water demand combined with a very erratic rainfall, the irrigation is totally provided using groundwater delivered by center pivot irrigation systems. On the other hand, the WF(RS-b) estimated using Landsat-8 data was varied from 276 (±73) m(3) t(-1) (carrot) and 2885 (±441) m(3) t(-1) (silage maize). The variation (RMSE) between WF(RS-b) and WF(Agro-b) was about 17% and 14% for silage maize and carrot crops, respectively.
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spelling pubmed-58090522018-02-28 Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia Madugundu, Rangaswamy Al-Gaadi, Khalid A. Tola, ElKamil Hassaballa, Abdalhaleem A. Kayad, Ahmed G. PLoS One Research Article The crop Water Footprint (WF) can provide a comprehensive knowledge of the use of water through the demarcation of the amount of the water consumed by different crops. The WF has three components: green (WF(g)), blue (WF(b)) and grey (WF(gr)) water footprints. The WF(g) refers to the rainwater stored in the root zone soil layer and is mainly utilized for agricultural, horticultural and forestry production. The WF(b), however, is the consumptive use of water from surface or groundwater resources and mainly deals with irrigated agriculture, industry, domestic water use, etc. While the WF(gr) is the amount of fresh water required to assimilate pollutants resulting from the use of fertilizers/agrochemicals. This study was conducted on six agricultural fields in the Eastern region of Saudi Arabia, during the period from December 2015 to December 2016, to investigate the spatiotemporal variation of the WF of silage maize and carrot crops. The WF of each crop was estimated in two ways, namely agro-meteorological (WF(Agro)) and remote sensing (WF(RS)) methods. The blue, green and grey components of WF(Agro) were computed with the use of weather station/Eddy covariance measurements and field recorded crop yield datasets. The WF(RS) estimated by applying surface energy balance principles on Landsat-8 imageries. However, due to non-availability of Landsat-8 data on the event of rainy days, this study was limited to blue component (WF(RS-b)). The WF(Agro) of silage maize was found to range from 3545 m(3) t(-1) to 4960 m(3) t(-1); on an average, the WF(Agro-g), WF(Agro-b), and WF(Agro-gr) are composed of < 1%, 77%, and 22%, respectively. In the case of carrot, the WF(Agro) ranged between 297 m(3) t(-1) and 502 m(3) t(-1). The WF(Agro-g) of carrot crop was estimated at <1%, while WF(Agro-b) and WF(Agro-gr) was 67% and 32%, respectively. The WF(Agro-b) is occupied as a major portion in WF of silage maize (77%) and carrot (68%) crops. This is due to the high crop water demand combined with a very erratic rainfall, the irrigation is totally provided using groundwater delivered by center pivot irrigation systems. On the other hand, the WF(RS-b) estimated using Landsat-8 data was varied from 276 (±73) m(3) t(-1) (carrot) and 2885 (±441) m(3) t(-1) (silage maize). The variation (RMSE) between WF(RS-b) and WF(Agro-b) was about 17% and 14% for silage maize and carrot crops, respectively. Public Library of Science 2018-02-12 /pmc/articles/PMC5809052/ /pubmed/29432446 http://dx.doi.org/10.1371/journal.pone.0192830 Text en © 2018 Madugundu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Madugundu, Rangaswamy
Al-Gaadi, Khalid A.
Tola, ElKamil
Hassaballa, Abdalhaleem A.
Kayad, Ahmed G.
Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia
title Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia
title_full Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia
title_fullStr Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia
title_full_unstemmed Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia
title_short Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia
title_sort utilization of landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of saudi arabia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809052/
https://www.ncbi.nlm.nih.gov/pubmed/29432446
http://dx.doi.org/10.1371/journal.pone.0192830
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