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

Reyes-González, Arturo; Kjaersgaard, Jeppe; Trooien, Todd P.; Hay, Christopher; Ahiablame, Laurent

doi:10.1155/2017/3632501

Cited by 26 publications

(15 citation statements)

References 56 publications

(74 reference statements)

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“…EROS performed the atmospheric corrections on the images. Also the wedge-shaped gaps appearing within the Landsat 7 images as a result of the SLC-off issue were removed using the Imagine built-in focal analysis tool [11]. Six, eleven, three, and seven clear Landsat images were acquired for 2013, 2014, 2015, and 2016, respectively ( Table 1).…”

Section: Study Areamentioning

confidence: 99%

“…The ET method is based on climatic demands and is more accurate than empirical methods for irrigation scheduling [65]. ET maps and atmometers are methods to estimate crop water requirements with high accuracy [11].…”

Section: Comparison Between Etmentioning

confidence: 99%

“…Satellite-based remote sensing is an alternative to estimate crop water requirement and its spatial and temporal distribution on a field-by-field basis at a regional scale. These remote sensingbased methods have been shown to be accurate [8][9][10][11]:…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

Reyes-González

Kjaersgaard

Trooien

et al. 2018

Advances in Meteorology

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Irrigation water is limited and scarce in many areas of the world, including Comarca Lagunera, Mexico. Thus better estimations of irrigation water requirements are essential to conserve water. The general objective was to estimate crop water demands or crop evapotranspiration (ET c ) at different scales using satellite remote sensing-based vegetation index. The study was carried out in northern Mexico (Comarca Lagunera) during four growing seasons. Six, eleven, three, and seven clear Landsat images were acquired for 2013, 2014, 2015, and 2016, respectively, for the analysis. The results showed that ET c was low at initial and early development stages, while ET c was high during mid-season and harvest stages. These results are not new but give us confidence in the rest of our ET c results. Daily ET c maps helped to explain the variability of crop water use during the growing season. Based on the results we can conclude that ET c maps developed from remotely sensed multispectral vegetation indices are a useful tool for quantifying crop water consumption at regional and field scales. Using ET c maps at the field scale, farmers can supply appropriate amounts of irrigation water corresponding to each growth stage, leading to water conservation.

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Section: Study Areamentioning

confidence: 99%

Section: Comparison Between Etmentioning

confidence: 99%

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Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

Reyes-González

Kjaersgaard

Trooien

et al. 2018

Advances in Meteorology

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“…The images were downloaded from the United States Geological Survey (USGS) EROS Datacenter and processed using the METRIC model running in the ERDAS Imagine software environment [54]. The wedge-shaped gaps appearing within the Landsat 7 images as result of the SLCoff issue were removed using the Imagine built-in focal analysis tool [55].…”

Section: Landsat Imagesmentioning

confidence: 99%

Assessing Accuracy of Vegetation Index Method to Estimate Actual Evapotranspiration

Reyes-González¹

2018

EARTH

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The estimation of actual crop evapotranspiration (ET a) maps using complex equations and remotely sensed shortwave and thermal infrared imagery can be challenging and may require input data that are not available. There is an opportunity, therefore to create a simpler and faster method to generate ET a maps using fewer input parameters for situations where limited input data is available or greater uncertainty in the resulting ET estimates are acceptable. We compared the estimates of ET a produced by a crop coefficient and NDVI-based (K c-NDVI) method to a full energy balance (EB) method. Clear sky images from Landsat 7 and Landsat 8 were processed and used for the ET a estimations from maize during two growing seasons in eastern South Dakota, USA. The results showed that the ET a values from the K c-NDVI method were lower than the ET a values from the EB method by 18% for 2015 and 11% for 2016 growing season. During study period the accuracy of ET a estimation decreased 17% with the K c-NDVI method. For both years the mean bias error was 0.81 mm day-1 and the root mean square error (RMSE) was 0.37 mm day-1. The average daily ET a of 5.3 mm day-1. The K c-NDVI method performed acceptable for ET a estimations, indicating that this method can be used to estimate ET a with minimum input parameters at focused regional and field scales for short time periods.

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“…Finally, it is important to indicate that the number of days with a complete data set (satellite images and EC fluxes) was limited by cloudiness when the satellite overpassed the experimental site and persistent noise of the EC system (instrumental problems and flow distortion through the tower). For these reasons, several researchers have used a limited number of images to evaluate the satellite-based remote sensing (SBRS) models [6,[45][46][47][48][49].…”

Section: Image Processingmentioning

confidence: 99%

Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data

Fuentes-Peñailillo

Ortega-Farías

Acevedo-Opazo

et al. 2018

Water

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A study was carried out to evaluate the potential use of the two-source Shuttleworth and Wallace (SW) model to compute the intra-orchard spatial variability of actual evapotranspiration (ET) of olive trees using satellite images and ground-based climate data. The study was conducted in a drip-irrigated olive orchard using satellite images (Landsat 7 ETM+), which were acquired on clear sky days during the main phenological stages (2009/10 growing season). The performance of the SW model was evaluated using instantaneous latent heat flux (LE) measurements that were obtained from an eddy correlation system. At the time of satellite overpass, the estimated values of net radiation (Rn i) and soil heat flux (G i) were compared with ground measurements from a four-way net radiometer and soil heat flux plates, respectively. The results indicated that the SW model subestimated instantaneous LE (W m −2) and daily ET (mm d −1), with errors of 12% and 10% of observed values, respectively. The root mean square error (RMSE) and mean absolute error (MAE) values for instantaneous LE were 26 and 20 W m −2 , while those for daily values of ET were 0.31 and 0.28 mm d −1 , respectively. Finally, the submodels computed Rn i and G i with errors of between 4.0% and 8.0% of measured values and with RMSE and MAE between 25 and 39 W m −2 .

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

Cited by 26 publications

References 56 publications

Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index

Assessing Accuracy of Vegetation Index Method to Estimate Actual Evapotranspiration

Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data

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