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Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco
by
Simonneaux, Vincent
, Le Page, Michel
, Er-Raki, Salah
, Chehbouni, Abdelghani
, Khabba, Saïd
, Kharrou, Mohamed Hakim
in
Arid regions
/ Arid zones
/ Canals
/ Covariance
/ Crops
/ eddy covariance
/ Environmental Sciences
/ Estimates
/ Evapotranspiration
/ FAO-56 soil water balance
/ fractional vegetation cover
/ Fruit trees
/ Global Changes
/ Growing season
/ Irrigated areas
/ Irrigation
/ Irrigation efficiency
/ Irrigation requirements
/ Irrigation water
/ Moisture content
/ Morocco
/ NDVI time series
/ Normalized difference vegetative index
/ olives
/ Orchards
/ Remote monitoring
/ Remote sensing
/ Root-mean-square errors
/ Satellite imagery
/ Satellites
/ Semi arid areas
/ Semiarid zones
/ socioeconomics
/ Soil water
/ soil water balance
/ Spatial distribution
/ Sustainable use
/ Time series
/ time series analysis
/ Vegetation
/ Vegetation cover
/ Vegetation index
/ water
/ Water balance
/ Water consumption
/ Water requirements
/ Water resources
/ Water use
/ water utilization
/ Wheat
2021
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Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco
by
Simonneaux, Vincent
, Le Page, Michel
, Er-Raki, Salah
, Chehbouni, Abdelghani
, Khabba, Saïd
, Kharrou, Mohamed Hakim
in
Arid regions
/ Arid zones
/ Canals
/ Covariance
/ Crops
/ eddy covariance
/ Environmental Sciences
/ Estimates
/ Evapotranspiration
/ FAO-56 soil water balance
/ fractional vegetation cover
/ Fruit trees
/ Global Changes
/ Growing season
/ Irrigated areas
/ Irrigation
/ Irrigation efficiency
/ Irrigation requirements
/ Irrigation water
/ Moisture content
/ Morocco
/ NDVI time series
/ Normalized difference vegetative index
/ olives
/ Orchards
/ Remote monitoring
/ Remote sensing
/ Root-mean-square errors
/ Satellite imagery
/ Satellites
/ Semi arid areas
/ Semiarid zones
/ socioeconomics
/ Soil water
/ soil water balance
/ Spatial distribution
/ Sustainable use
/ Time series
/ time series analysis
/ Vegetation
/ Vegetation cover
/ Vegetation index
/ water
/ Water balance
/ Water consumption
/ Water requirements
/ Water resources
/ Water use
/ water utilization
/ Wheat
2021
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Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco
by
Simonneaux, Vincent
, Le Page, Michel
, Er-Raki, Salah
, Chehbouni, Abdelghani
, Khabba, Saïd
, Kharrou, Mohamed Hakim
in
Arid regions
/ Arid zones
/ Canals
/ Covariance
/ Crops
/ eddy covariance
/ Environmental Sciences
/ Estimates
/ Evapotranspiration
/ FAO-56 soil water balance
/ fractional vegetation cover
/ Fruit trees
/ Global Changes
/ Growing season
/ Irrigated areas
/ Irrigation
/ Irrigation efficiency
/ Irrigation requirements
/ Irrigation water
/ Moisture content
/ Morocco
/ NDVI time series
/ Normalized difference vegetative index
/ olives
/ Orchards
/ Remote monitoring
/ Remote sensing
/ Root-mean-square errors
/ Satellite imagery
/ Satellites
/ Semi arid areas
/ Semiarid zones
/ socioeconomics
/ Soil water
/ soil water balance
/ Spatial distribution
/ Sustainable use
/ Time series
/ time series analysis
/ Vegetation
/ Vegetation cover
/ Vegetation index
/ water
/ Water balance
/ Water consumption
/ Water requirements
/ Water resources
/ Water use
/ water utilization
/ Wheat
2021
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Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco
Journal Article
Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco
2021
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Overview
This study aims to evaluate a remote sensing-based approach to allow estimation of the temporal and spatial distribution of crop evapotranspiration (ET) and irrigation water requirements over irrigated areas in semi-arid regions. The method is based on the daily step FAO-56 Soil Water Balance model combined with a time series of basal crop coefficients and the fractional vegetation cover derived from high-resolution satellite Normalized Difference Vegetation Index (NDVI) imagery. The model was first calibrated and validated at plot scale using ET measured by eddy-covariance systems over wheat fields and olive orchards representing the main crops grown in the study area of the Haouz plain (central Morocco). The results showed that the model provided good estimates of ET for wheat and olive trees with a root mean square error (RMSE) of about 0.56 and 0.54 mm/day respectively. The model was then used to compare remotely sensed estimates of irrigation requirements (RS-IWR) and irrigation water supplied (WS) at plot scale over an irrigation district in the Haouz plain through three growing seasons. The comparison indicated a large spatio-temporal variability in irrigation water demands and supplies; the median values of WS and RS-IWR were 130 (175), 117 (175) and 118 (112) mm respectively in the 2002–2003, 2005–2006 and 2008–2009 seasons. This could be attributed to inadequate irrigation supply and/or to farmers’ socio-economic considerations and management practices. The findings demonstrate the potential for irrigation managers to use remote sensing-based models to monitor irrigation water usage for efficient and sustainable use of water resources.
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