Integrating satellite-based evapotranspiration with simulation models for irrigation management at the scheme level

Santos, C.; Lorite, Ignacio J.; Tasumi, Masahiro; Allen, Richard G.; Fereres, E.

doi:10.1007/s00271-007-0093-9

Cited by 76 publications

(36 citation statements)

References 33 publications

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“…The ET a maps developed by the METRIC model in this study were similar to other ET maps generated by the METRIC model and reported by Chávez et al [13], Santos et al [24], Folhes et al [18], Droogers et al [62], Healey et al [15], Zhang et al [20], and Carrillo-Rojas et al [63], where they reported the spatial and temporal distribution of daily ET a for different crops including corn. In other situations, Chávez et al [13] reported maximum ET a values (14.1 mm day −1 ) due to high wind speed values (7.0 m s −1 ) at the time of satellite overpass in corn field in Texas High Plains, USA.…”

Section: Et Maps and Variation Of Et Throughout Growing Seasonsupporting

confidence: 70%

“…These studies showed from moderate to strong relationships between observed and METRIC-estimated ET a , indicating that the METRIC model is a useful tool for estimating accurate ET a at local and field scales. In addition, the METRIC model has been compared with other models such as water balance model [24], trapezoid interpolation model (TIM) [25,26], two-source energy balance model (TSEB) [27,28], SIMDualKc model [29], and the Landsat-MODIS fusion model [30]. However, comparison of METRIC model outputs to an atmometer for ET a estimation has not yet been attempted.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of METRIC Model and Atmometer Methods for Estimating Actual Evapotranspiration

Reyes-González

Kjaersgaard

Trooien

et al. 2017

International Journal of Agronomy

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Accurate estimation of crop evapotranspiration (ET) is a key factor in agricultural water management including irrigated agriculture. The objective of this study was to compare ET estimated from the satellite-based remote sensing METRIC model to in situ atmometer readings. Atmometer readings were recorded from three sites in eastern South Dakota every morning between 8:15 and 8:30 AM for the duration of the 2016 growing season. Seven corresponding clear sky images from Landsat 7 and Landsat 8 (Path 29, Row 29) were processed and used for comparison. Three corn fields in three sites were used to compare actual evapotranspiration (ET a ). The results showed a good relationship between ET a estimated by the METRIC model (ET a -METRIC) and ET a estimated with atmometer (ET a -atm) ( 2 = 0.87, index of agreement of 0.84, and RMSE = 0.65 mm day −1 ). However, ET a -atm values were consistently lower than ET a -METRIC values. The differences in daily ET a between the two methods increase with high wind speed values (>4 m s −1 ). Results from this study are useful for improving irrigation water management at local and field scales.

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Section: Et Maps and Variation Of Et Throughout Growing Seasonsupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of METRIC Model and Atmometer Methods for Estimating Actual Evapotranspiration

Reyes-González

Kjaersgaard

Trooien

et al. 2017

International Journal of Agronomy

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show abstract

“…Integration of water balance model with METRIC estimated ET could provide significant improvements in the irrigation schedules as found in Spain by Santos et al [101]. Tasumi et al [99] pointed out the high potential for successful ET estimates of SEBAL/METRIC models by comparing the derived ET with lysimeter measured values in the semi-arid US.…”

Section: Mapping Evapotranspiration At High Resolution and With Intermentioning

confidence: 99%

Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

2014

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Abstract:With the advent of new satellite technology, the radiative energy exchanges between Sun, Earth, and space may now be quantified accurately. Nevertheless, much less is known about the magnitude of the energy flows within the climate system and at the Earth's surface, which cannot be directly measured by satellites. This review surveys the basic theories, observational methods, and different surface energy balance algorithms for estimating evapotranspiration (ET) from landscapes and regions with remotely sensed surface temperatures, and highlights uncertainties and limitations associated with those estimation methods. Although some of these algorithms were built up for specific land covers like irrigation areas only, methods developed for other disciplines like hydrology and meteorology, are also reviewed, where continuous estimates in space and in time are needed. Temporal and spatial scaling issues associated with the use of thermal remote sensing for estimating evapotranspiration are also discussed. A review of these different satellite based remote sensing approaches is presented. The main physical bases and assumptions of these algorithms are also discussed. Some results are shown for the estimation of evapotranspiration on a rice paddy of Chiayi Plain in Taiwan using remote sensing data.

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“…For example, space-borne remote sensing can be used to provide regular hydrological information for large areas and though used for research purposes in the past (Bastiaanssen et al, 2000), it is now receiving increased application in irrigationscheduling recommendations (e.g. Santos et al, 2008). Remote sensing is already being used in the Western Cape to assist table-grape and wine farmers to better manage scarce irrigation water resources and nitrogen fertiliser in a project sponsored by the Western Cape Department of Agriculture (see www.GrapeLook.co.za) (Posthumus, 2011).…”

Section: Future Focus and Opportunitiesmentioning

confidence: 99%

Irrigation scheduling research: South African experiences and future prospects

Annandale¹,

Stirzaker²,

Singels³

et al. 2011

WSA

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Many scheduling approaches have been developed with Water Research Commission funding over the past 4 decades and deployed with varying levels of success; 2 approaches have won prestigious international awards. Soil-based approaches which include measurement of matric potential (tensiometry), water content (neutron probes, capacitance sensors) and depth of wetting (wetting front detectors) have been relatively well accepted by farmers. Atmospheric-based approaches apply, through biophysical modelling of the soil-crop-atmosphere system, thermodynamic limits to the amount of water that can evaporate from a cropped surface under particular environmental conditions. Modelling approaches have been quite empirical or somewhat more mechanistic, generic or crop specific, with pre-programmed (e.g. irrigation calendars) or real-time output. Novel mechanisms have been developed to deliver recommendations to farmers, including resource-poor irrigators. Although general adoption of objective irrigation scheduling in South Africa is still low, the high cost of electricity and nitrogen, and scarcity of water is reviving the interest of consultants and irrigators in the application of these tools to use water more efficiently. Where adoption has been relatively high, intensive support and farmer-researcher-consultant interactions have been key contributing factors. We propose 4 avenues in the R&D domain to ensure responsible water utilisation. Firstly, there is a need to continue to advance existing soil-water measurement technology; and secondly, to further develop new and emerging technologies, like the use of remote sensing. Thirdly, the user-friendliness should be improved as should systems that support existing scheduling tools; and finally, we need to appreciate that farmers are intuitively adaptive managers, and we need to develop simple monitoring tools and conceptual frameworks that enable structured learning.

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Integrating satellite-based evapotranspiration with simulation models for irrigation management at the scheme level

Cited by 76 publications

References 33 publications

Comparative Analysis of METRIC Model and Atmometer Methods for Estimating Actual Evapotranspiration

Comparative Analysis of METRIC Model and Atmometer Methods for Estimating Actual Evapotranspiration

Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

Irrigation scheduling research: South African experiences and future prospects

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