Application of a Remote Sensing Method for Estimating Monthly Blue Water Evapotranspiration in Irrigated Agriculture

Romaguera, M.; Krol, Maarten S.; Salama, Mhd. Suhyb; Su, Zhongbo; Hoekstra, Arjen Ysbert

doi:10.3390/rs61010033

Cited by 34 publications

(14 citation statements)

References 39 publications

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“…The Working Group on Water and Energy Fluxes in a Changing Environment aims to synthesize a wide variety of areas in which changes in water and energy fluxes influence their current and future regime. Their work includes snow modelling and monitoring in Mediterranean regions (Herrero andPolo 2012, Pimentel et al 2015), flood risk assessment (Egüen et al 2015), water consumption in cropped areas (Pardo et al 2014, Romaguera et al 2014, sediment transport in semi-arid watersheds (Millares et al 2014), environmental sustainability (Wen et al 2014), water resource management infrastructures (Gómez-Beas et al 2012), and adaptive actions assessment (Polo et al 2014).…”

Section: Drivers Of Hydrological Systemsmentioning

confidence: 99%

Panta Rhei 2013–2015: global perspectives on hydrology, society and change

McMillan

Montanari

Cudennec

et al. 2016

Hydrological Sciences Journal

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In 2013, the International Association of Hydrological Sciences (IAHS) launched the hydrological decade 2013-2022 with the theme "Panta Rhei: Change in Hydrology and Society". The decade recognizes the urgency of hydrological research to understand and predict the interactions of society and water, to support sustainable water resource use under changing climatic and environmental conditions. This paper reports on the first Panta Rhei biennium 2013-2015, providing a comprehensive resource that describes the scope and direction of Panta Rhei. We bring together the knowledge of all the Panta Rhei working groups, to summarize the most pressing research questions and how the hydrological community is progressing towards those goals. We draw out interconnections between different strands of research, and reflect on the need to take a global view on hydrology in the current era of human impacts and environmental change. Finally, we look back to the six driving science questions identified at the outset of Panta Rhei, to quantify progress towards those aims.

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Section: Drivers Of Hydrological Systemsmentioning

confidence: 99%

Panta Rhei 2013–2015: global perspectives on hydrology, society and change

McMillan

Montanari

Cudennec

et al. 2016

Hydrological Sciences Journal

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“…In fact, irrigation practices also strongly affect the evapotranspiration process; hence, the evapotranspiration information can be useful to retrieve water amounts applied for irrigation. From this perspective, Romaguera et al [17] exploited the differences between the remote sensing and modeled actual evapotranspiration to estimate monthly evapotranspiration rates due to irrigation over two study areas, the Horn of Africa and the province of Sichuan, in China. Peña-Arancibia et al [18] proposed a methodology combining remote sensing data and hydrologic modeling to estimate the sources and the amounts of water consumed in the form of evapotranspiration from irrigated areas over two sub-basins of the Murray-Darling basin (Australia), which is known to be highly human-regulated.…”

Section: Introductionmentioning

confidence: 99%

Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region

et al. 2020

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Despite irrigation being one of the main sources of anthropogenic water consumption, detailed information about water amounts destined for this purpose are often lacking worldwide. In this study, a methodology which can be used to estimate irrigation amounts over a pilot area in Spain by exploiting remotely sensed soil moisture is proposed. Two high-resolution disaggregation based on physical and theoretical scale change (DISPATCH) downscaled soil moisture products have been used: Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity (SMOS) at 1 km. The irrigation estimates have been obtained through the SM2RAIN algorithm, in which the evapotranspiration term has been improved to adequately reproduce the crop evapotranspiration over irrigated areas according to the Food and Agriculture Organization (FAO) model. The experiment exploiting the SMAP data at 1 km represents the main work analyzed in this study and covered the period from January 2016 to September 2017. The experiment with the SMOS data at 1 km, for which a longer time series is available, allowed the irrigation estimates to be extended back to 2011. For both of the experiments carried out, the proposed method performed well in reproducing the magnitudes of the irrigation amounts that actually occurred in four of the five pilot irrigation districts. The SMAP experiment, for which a more detailed analysis was performed, also provided satisfactory results in representing the spatial distribution and the timing of the irrigation events. In addition, the investigation into which term of the SM2RAIN algorithm plays the leading role in determining the amount of water entering into the soil highlights the importance of correct representation of the evapotranspiration process.

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“…The point is that the remotely sensed variables for operating SEB models at daily scale generally have a spatial resolution of 1 km or more (e.g. Romaguera et al, 2014;van Eekelen et al, 2015), which is unsuitable at crop field scale. When using high-spatial resolution optical/thermal data, the low temporal resolution has to be taken into account.…”

Section: Introductionmentioning

confidence: 99%

Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region

Olivera-Guerra

Merlin

Er-Raki

2020

Remote Sensing of Environment

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Monitoring irrigation is essential for an efficient management of water resources in arid and semi-arid regions. We propose to estimate the timing and the amount of irrigation throughout the agricultural season using optical and thermal Landsat-7/8 data. The approach is implemented in four steps: i) partitioning the Landsat land surface temperature (LST) to derive the crop water stress coefficient (Ks), ii) estimating the daily root zone soil moisture (RZSM) from the integration of Landsat-derived Ks into a crop water balance model, iii) retrieving irrigation at the Landsat pixel scale and iv) aggregating pixel-scale irrigation estimates at the crop field scale. The new irrigation retrieval method is tested over three agricultural areas during four seasons and is evaluated over five winter wheat fields under different irrigation techniques (drip, flood and no-irrigation). The model is very accurate for the seasonal accumulated amounts (R ~ 0.95 and RMSE ~ 44 mm). However, lower agreements with observed irrigations are obtained at the daily scale. To assess the performance of the irrigation retrieval method over a range of time periods, the daily predicted and observed irrigations are cumulated from 1 to 90 days. Generally, acceptable errors (R = 0.52 and RMSE = 27 mm) are obtained for irrigations cumulated over 15 days and the performance gradually improves by increasing the accumulation period, depicting a strong link to the frequency of Landsat overpasses (16 days or 8 days by combining Landsat-7 and-8). Despite the uncertainties in retrieved irrigations at daily to weekly scales, the daily RZSM and evapotranspiration simulated from the retrieved daily irrigations are estimated accurately and are very close to those estimated from actual irrigations. This research demonstrates the utility of high spatial resolution optical and thermal data for estimating irrigation and consequently for better closing the water budget over agricultural areas. We also show that significant improvements can be expected at daily to weekly time scales by reducing the revisit time of high-spatial resolution thermal data, as included in the TRISHNA future mission requirements.

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Application of a Remote Sensing Method for Estimating Monthly Blue Water Evapotranspiration in Irrigated Agriculture

Cited by 34 publications

References 39 publications

Panta Rhei 2013–2015: global perspectives on hydrology, society and change

Panta Rhei 2013–2015: global perspectives on hydrology, society and change

Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region

Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region

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