Radiometric surface temperature calibration effects on satellite based evapotranspiration estimation

Chávez, José L.; Gowda, Prasanna H.; Howell, Terry A.; Copeland, Karen S.

doi:10.1080/01431160802549393

Cited by 22 publications

(15 citation statements)

References 22 publications

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“…The observed mean surface temperature value for the irrigated lysimeter was 31.5 • C, and it closely matches the estimated mean value of 31.2 • C. The irrigated lysimeter regression line for surface temperature has better estimates than for the dryland lysimeter, with a coefficient of determination of 0.8, a slope and an intercept of 0.63 and 11.2 • C. The RMSE was 14.6% (4.6 • C) of the mean observed values with MBE of 0.55 • C. These predicted errors are close to those reported in the literature [43,[47][48][49][50]. Moorhead and Gowda have similar unpublished reports for METRIC hourly comparisons.…”

Section: Discussionsupporting

confidence: 82%

Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains

Hashem

Engel

Bralts

et al. 2020

Water

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Evapotranspiration (ET) is one of the biggest data gaps in water management due to limited ET measurements, and further, spatial variability in ET is difficult to capture. Satellite-based ET estimation has great potential for water resources planning as it allows estimation of agricultural water use at field, landscape, and watershed scales. However, uncertainties with satellite data derived ET are a major concern. This study evaluates hourly satellite-based ET from 2001–2010 for the growing season (May–October) under irrigated and dryland conditions for both tall and short crops. The evaluation was conducted using observed ET from four large weighing lysimeters at the United States Department of Agriculture Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory in Bushland, Texas. Hourly ET from satellite data were derived using the Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) model. Performance statistics showed that satellite-based hourly estimates compared to lysimeter measurements provided good performance with an root-mean-square error(RMSE) of 0.14 mm, Nash–Sutcliffe efficiency (NSE) of 0.57, and R2 of 0.62 for ET for dryland crops, and RMSE of 0.16, NSE of 0.63, and R2 of 0.65 for irrigated crops. METRIC provided accurate hourly ET estimates that may be useful for irrigation scheduling and other water resources management purposes based on the hourly assessment.

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Section: Discussionsupporting

confidence: 82%

Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains

Hashem

Engel

Bralts

et al. 2020

Water

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“…The recorded errors (4.2 to 19.6 %) in the T LST are slightly higher than the values reported in previous studies. For example, compared to the ground-level infrared thermometer, Chavez et al (2009a) reported METRIC errors of 11.1 and 1.9 % in estimating surface temperatures for corn and sorghum fields, respectively. The LAI significantly affects the accuracy of T LST .…”

Section: Surface Temperature (T )mentioning

confidence: 99%

“…Lysimeter and EC methods provide direct measurements of ET, while other methods rely on models to estimate heat fluxes using measurable parameters (FAO, 1977;Drexler et al, 2004;Chavez et al, 2009a). The FAO-56 (Allen et al, 2007) modeling for instance, is widely used in numerous studies.…”

Section: Introductionmentioning

confidence: 99%

Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

Madugundu

Al‐Gaadi

Tola

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Accurate estimation of evapotranspiration (ET) is essential for hydrological modeling and efficient crop water management in hyper-arid climates. In this study, we applied the METRIC algorithm on Landsat-8 images, acquired from June to October 2013, for the mapping of ET of a 50 ha center-pivot irrigated alfalfa field in the eastern region of Saudi Arabia. The METRIC-estimated energy balance components and ET were evaluated against the data provided by an eddy covariance (EC) flux tower installed in the field. Results indicated that the METRIC algorithm provided accurate ET estimates over the study area, with RMSE values of 0.13 and 4.15 mm d −1 . The METRIC algorithm was observed to perform better in full canopy conditions compared to partial canopy conditions. On average, the METRIC algorithm overestimated the hourly ET by 6.6 % in comparison to the EC measurements; however, the daily ET was underestimated by 4.2 %.

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“…A variety of models and methods have recently been developed that are capable of processing remotely sensed data for estimating evapotranspiration (Bastiaanssen et al, 1998;Richard et al, 2005;Chavez et al, 2009). The surface temperature is derived from thermal infrared and passive microwave data, and utilized to estimate actual evapotranspiration (Coll and Caselles, 1997).…”

Section: Remotely Sensed Catchment Datamentioning

confidence: 99%

A review of advances in flash flood forecasting

Hapuarachchi

Wang

Pagano

2011

Hydrological Processes

414

286

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Abstract:Flash flooding is one of the most hazardous natural events, and it is frequently responsible for loss of life and severe damage to infrastructure and the environment. Research into the use of new modelling techniques and data types in flash flood forecasting has increased over the past decade, and this paper presents a review of recent advances that have emerged from this research. In particular, we focus on the use of quantitative precipitation estimates and forecasts, the use of remotely sensed data in hydrological modelling, developments in forecasting models and techniques, and uncertainty estimates. Over the past decade flash flood forecast lead-time has expanded up to six hours due to improved rainfall forecasts. However the largest source of uncertainty of flash flood forecasts remains unknown future precipitation. An increased number of physically based hydrological models have been developed and used for flash flood forecasting and they have been found to give more plausible results when compared with the results of conceptual, statistical, and neural network models. Among the three methods for deciding flash flood occurrence discussed in this review, the rainfall comparison method (flash flood guidance) is most commonly used for flash flood forecasting as it is easily understood by the general public. Unfortunately, no existing model is capable of making reliable flash flood forecasts in urban watersheds even though the incidence of urban flash flooding is increasing due to increasing urbanisation.

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Radiometric surface temperature calibration effects on satellite based evapotranspiration estimation

Cited by 22 publications

References 22 publications

Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains

Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains

Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

A review of advances in flash flood forecasting

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