Evapotranspiration: Progress in Measurement and Modeling in Agriculture

Farahani, Hamid J.; Howell, Terry A.; Shuttleworth, W. James; Bausch, Walter C.

doi:10.13031/2013.23965

Cited by 132 publications

(87 citation statements)

References 96 publications

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“…This issue has been addressed from a hydrological perspective by Overgaard et al [58] with particular emphasis to plant sciences, agronomy, and irrigation applications [59,60]. Farahani et al [61] provide a focused survey of progress in crop evapotranspiration measurement and modeling with particular emphasis on the aspects of irrigational interest. A comprehensive review is found on ground-based measurements and remote sensing methods for assessing terrestrial evaporation and soil moisture content at multi-scale scale observation [43] while some compact review on various methods for estimating terrestrial evaporation with surface temperatures at various scales are also found in the literature [62,63], but these reviews put emphasis particularly on studies published since the early 1990s.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

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

2014

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“…The complicated physical mechanisms such as turbulent transport, the feedback in the soil-plant-atmosphere continuum and the heterogeneity of land surface all combine to make estimation of energy balance components a challenge [3,4]. Nevertheless, much work has been done in surface turbulent fluxes and partitioning among energy balance components [5][6][7]. As one fundamental parameter of surface heat fluxes, the evaporative fraction (EF, defined as the ratio of latent heat flux to available energy) represents the surface control on latent heat and sensible heat fluxes portioning [8,9].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Daytime Evaporative Fraction from MODIS TOA Radiances Using FLUXNET Observations

Peng

Loew

2014

Remote Sensing

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Abstract:In recent decades, the land surface temperature/vegetation index (LST/NDVI) feature space has been widely used to estimate actual evapotranspiration (ETa) or evaporative fraction (EF, defined as the ratio of latent heat flux to surface available energy). Traditionally, it is essential to pre-process satellite top of atmosphere (TOA) radiances to obtain LST before estimating EF. However, pre-processing TOA radiances is a cumbersome task including corrections for atmospheric, adjacency and directional effects. Based on the contextual relationship between LST and NDVI, some studies proposed the direct use of TOA radiances instead of satellite retrieved LST products to estimate EF, and found that use of TOA radiances is applicable in some regional studies. The purpose of the present study is to test the robustness of the TOA radiances based EF estimation scheme over different climatic and surface conditions. Flux measurements from 16 FLUXNET (a global network of eddy covariance towers) sites were used to validate the Moderate Resolution Imaging Spectro radiometer (MODIS) TOA radiances estimated daytime EF. It is found that the EF estimates perform well across a wide variety of climate and biome types-Grasslands, crops, cropland/natural vegetation mosaic, closed shrublands, mixed forest, deciduous broadleaf forest, and savannas. The overall mean bias error (BIAS), mean absolute difference (MAD), root mean square difference (RMSD) and correlation coefficient (R) values for all the sites are 0.018, 0.147, 0.178 and 0.590, respectively, which are comparable with published results in the literature. We conclude that the direct use of measured TOA radiances instead of LST to estimate daytime EF can avoid complex atmospheric corrections associated with the satellite derived products, and would facilitate the relevant applications where minimum pre-processing is important. OPEN ACCESSRemote Sens. 2014, 6 5960 Keywords: top of atmosphere radiances; evaporative fraction; land surface temperature; normalized difference vegetation index

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“…It is described as the bulk resistance of all transmission mediums such as crop, soil and others (Li et al, 2013). Surface resistance is difficult to specify and usually obtained from the literature or by empirical means (Farahani et al, 2007). In 1998, the Food and Agriculture Organization of the United Nations (FAO) gave a fixed surface resistance at 70 s/m for a crop with a uniform height of 0.12 m (Allen et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Surface resistance calibration for a hydrological model using evapotranspiration retrieved from remote sensing data in Nahe catchment forest area

et al. 2015

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In this paper, a method combining graphical and statistical techniques is proposed for surface resistance calibration in a distributed hydrological model, WaSiM-ETH, by comparing daily evapotranspiration simulated by model WaSiM-ETH with corresponding daily evapotranspiration retrieved from remote sensing images. The study area locates in Nahe catchment (Rhineland-Palatinate, Germany, 4065 km 2 ) forest regions. The remote sensing based observations are available for a very limited number of days but representative for most soil moisture conditions. By setting canopy resistance (rc) at 150 s/m, soil surface resistance (rse) at 250 s/m or at 300 s/m for deciduous forest and setting rc at 300 s/m, rse at 600 s/m or at 650 s/m for pine forest, the model exhibits its best overall performance in space and time. It is also found that with sufficient soil moisture, the model exhibits its best performance in space scale.

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Evapotranspiration: Progress in Measurement and Modeling in Agriculture

Cited by 132 publications

References 96 publications

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

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

Evaluation of Daytime Evaporative Fraction from MODIS TOA Radiances Using FLUXNET Observations

Surface resistance calibration for a hydrological model using evapotranspiration retrieved from remote sensing data in Nahe catchment forest area

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