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Open AccessArticle

Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management Scale

1
Remote Sensing & GIS Group, Institute for Regional Development, University of Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, Spain
2
Deputy Directorate for Water Planning, DG Water—Ministry for the Ecological Transition and the Demographic Challenge (MITERD), 28071 Madrid, Spain
3
Deputy General Directorate of Irrigation, Natural Roads and Rural Infrastructures, Spanish Ministry of Agriculture, Food and Fisheries, 28005 Madrid, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(19), 3187; https://doi.org/10.3390/rs12193187
Received: 3 August 2020 / Revised: 21 September 2020 / Accepted: 25 September 2020 / Published: 29 September 2020
The Water Framework Directive in Europe requires extending metering and water abstraction controls to accurately satisfy the necessary water resource requirements. However, in situ measurement instruments are inappropriate for large irrigation surface areas, considering the high investment and maintenance service costs. In this study, Remote Sensing-based Irrigation Water Accounting (RS-IWA) (previously evaluated for commercial plots, water user associations, and groundwater water management scales) was applied to over 11 Spanish river basin districts during the period of 2014–2018. Using the FAO56 methodology and incorporating remote sensing basal crop coefficient time series to simulate the Remote Sensing-based Soil Water Balance (RS-SWB), we were able to provide spatially and temporally distributed net irrigation requirements. The results were evaluated against the irrigation water demands estimated by the Hydrological Planning Offices and published in the River Basin Management Plans applying the same spatial (Agricultural Demand Units and Exploitation Systems) and temporal (annual and monthly) water management scales used by these public water managers, ultimately returning ranges of agreement (r2 and dr) (Willmott refined index) of 0.79 and 0.99, respectively. Thus, this paper presents an operational tool for providing updated spatio-temporal maps of RS-IWA over large and diverse irrigation surface areas, which is ready to serve as a complementary irrigation water monitoring and management tool. View Full-Text
Keywords: irrigation; Landsat 8; Sentinel-2; FAO56; HidroMORE; Remote Sensing-based Irrigation Water Accounting (RS-IWA); River Basin District; water resource management irrigation; Landsat 8; Sentinel-2; FAO56; HidroMORE; Remote Sensing-based Irrigation Water Accounting (RS-IWA); River Basin District; water resource management
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MDPI and ACS Style

Garrido-Rubio, J.; Calera, A.; Arellano, I.; Belmonte, M.; Fraile, L.; Ortega, T.; Bravo, R.; González-Piqueras, J. Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management Scale. Remote Sens. 2020, 12, 3187. https://doi.org/10.3390/rs12193187

AMA Style

Garrido-Rubio J, Calera A, Arellano I, Belmonte M, Fraile L, Ortega T, Bravo R, González-Piqueras J. Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management Scale. Remote Sensing. 2020; 12(19):3187. https://doi.org/10.3390/rs12193187

Chicago/Turabian Style

Garrido-Rubio, Jesús; Calera, Alfonso; Arellano, Irene; Belmonte, Mario; Fraile, Lorena; Ortega, Tatiana; Bravo, Raquel; González-Piqueras, José. 2020. "Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management Scale" Remote Sens. 12, no. 19: 3187. https://doi.org/10.3390/rs12193187

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