Estimation of Evapotranspiration from Fields with and without Cover Crops Using Remote Sensing and in situ Methods

Hankerson, Brett; Kjaersgaard, Jeppe; Hay, Christopher

doi:10.3390/rs4123796

Cited by 27 publications

(18 citation statements)

References 13 publications

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“…On the contrary, low ET difference (±1.0 mm day −1 ) was reported by Chávez et al [13], who compare ET estimated by METRIC and ET derived from soil water balance in irrigation corn in Texas. Also, Healey et al [15] and Hankerson et al [16] reported that ET difference ranged from −1.0 to 1.0 mm day −1 between the METRIC model and BREBS method in different crops.…”

Section: Et Differences Between the Metric Model And Atmometermentioning

confidence: 99%

“…Previous studies have compared METRIC model outputs to other methods of ET a estimation such as weighing lysimeter [10], soil water balance [13], Bowen Ratio Energy Balance System (BREBS) [14][15][16][17], Eddy Covariance (EC), for example, [18][19][20][21], Large Aperture Scintillometer (LAS) [22], and the METRIC-MODIS method [23]. 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.…”

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 Differences Between the Metric Model And Atmometermentioning

confidence: 99%

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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“…• empirical methods that involve the use of statistically-derived relationships between ET and vegetation indices such as the normalized difference vegetation index (NDVI) or the enhanced vegetation index (EVI) [20][21][22][23][24][25], • residual methods of surface energy balance (single-and dual-source models) [8,26] which include the Surface Energy Balance Algorithm over Land (SEBAL) [27,28], Surface Energy Balance System (SEBS) [8,29,30] and Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) [6,31,32], • physically-based methods that involve the application of the combination of Penman-Monteith [7,33,34] and Priestley-Taylor types of equations [35][36][37][38][39], and • Data assimilation methods adjoined to the heat diffusion equation [40] and through the radiometric surface temperature sequences [41].…”

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confidence: 99%

Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa

et al. 2014

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Globally, water is an important resource required for the survival of human beings. Water is a scarce resource in the semi-arid environments, including South Africa. In South Africa, several studies have quantified evapotranspiration (ET) in different ecosystems at a local scale. Accurate spatially explicit information on ET is rare in the country mainly due to lack of appropriate tools. In recent years, a remote sensing ET product from the MODerate Resolution Imaging Spectrometer (MOD16) has been developed. However, its accuracy is not known in South African ecosystems. The objective of this study was to validate the MOD16 ET product using data from two eddy covariance flux towers, namely; Skukuza and Malopeni installed in a savanna and woodland ecosystem within the Kruger National Park, South Africa. Eight day cumulative ET data from the flux towers was calculated to coincide with the eight day MOD16 products over a period of 10 years from 2000 to 2010. The Skukuza flux tower results showed inconsistent comparisons with MOD16 ET. The Malopeni site achieved a poorer comparison with MOD16 ET compared to the Skukuza, and due to a shorter measurement period, data validation was performed for 2009 only. The inconsistent comparison of MOD16 and flux tower-based ET can be attributed to, among other things, the parameterization of the Penman-Monteith model, flux tower measurement errors, and flux tower footprint vs. OPEN ACCESSRemote Sens. 2014, 6 7407 MODIS pixel. MOD16 is important for global inference of ET, but for use in South Africa's integrated water management, a locally parameterized and improved product should be developed.

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“…Many studies have been conducted in estimating ET as an important element of hydrological cycle. In this regard, it can be mentioned in the studies of Guerschman et al [14]; Maeda et al [4]; Yang et al [12]; Cleugh et al [15]; Tian et al [16]; Hankerson et al [17]; Li et al [18].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of M5 Model Tree and Artificial Neural Network in Estimating Reference Evapotranspiration Using MODIS Products

Alipour

Yarahmadi

Mahdavi

2014

Journal of Climatology

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Reference evapotranspiration (ET ) is one of the major parameters affecting hydrological cycle. Use of satellite images can be very helpful to compensate for lack of reliable weather data. This study aimed to determine ET using land surface temperature (LST) data acquired from MODIS sensor. LST data were considered as inputs of two data-driven models including artificial neural network (ANN) and M5 model tree to estimate ET values and their results were compared with calculated ET by FAO-Penman-Monteith (FAO-PM) equation. Climatic data of five weather stations in Khuzestan province, which is located in the southeastern Iran, were employed in order to calculate ET . LST data extracted from corresponding points of MODIS images were used in training of ANN and M5 model tree. Among study stations, three stations (Amirkabir, Farabi, and Gazali) were selected for creating the models and two stations (Khazaei and Shoeybie) for testing. In Khazaei station, the coefficient of determination (2 ) values for comparison between calculated ET by FAO-PM and estimated ET by ANN and M5 tree model were 0.79 and 0.80, respectively. In a similar manner, 2 values for Shoeybie station were 0.86 and 0.85. In general, the results showed that both models can properly estimate ET by means of LST data derived from MODIS sensor.

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Estimation of Evapotranspiration from Fields with and without Cover Crops Using Remote Sensing and in situ Methods

Cited by 27 publications

References 13 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

Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa

Comparative Study of M5 Model Tree and Artificial Neural Network in Estimating Reference Evapotranspiration Using MODIS Products

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