Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region

Knipper, Kyle; Hogue, T. S.; Scott, Russell L.; Franz, Kristie J.

doi:10.3390/rs9030184

Cited by 23 publications

(16 citation statements)

References 96 publications

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“…However, to provide error measures consistent with those reported for the MODIS ET product, the tower measurements (ET obs ) are compared to gridded ET LST estimates directly [18,19]. Although the tower footprint areas (e.g.,~100's m 2 to~1's km 2 ) are less than the simulated ET LST pixel area (~25 km 2 ) and there are often energy balance closure problems associated with tower measurements [33,72,73], the tower-based estimates are applied uniformly over the pixel area. Thus, in this study, the flux tower measurements of ET obs (i.e., LE/λ yielding ET obs in units of mm/d for the associated footprint area) are compared directly to simulated ET LST (i.e., ET LST in mm/day for the pixel containing the tower location), for consistency with Mu, et al [19].…”

Section: Evaluation Methodsmentioning

confidence: 99%

Estimating Daily Global Evapotranspiration Using Penman–Monteith Equation and Remotely Sensed Land Surface Temperature

Raoufi

Beighley

2017

Remote Sensing

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Daily evapotranspiration (ET) is modeled globally for the period 2000-2013 based on the Penman-Monteith equation with radiation and vapor pressures derived using remotely sensed Land Surface Temperature (LST) from the MODerate resolution Imaging Spectroradiometer (MODIS) on the Aqua and Terra satellites. The ET for a given land area is based on four surface conditions: wet/dry and vegetated/non-vegetated. For each, the ET resistance terms are based on land cover, leaf area index (LAI) and literature values. The vegetated/non-vegetated fractions of the land surface are estimated using land cover, LAI, a simplified version of the Beer-Lambert law for describing light transition through vegetation and newly derived light extension coefficients for each MODIS land cover type. The wet/dry fractions of the land surface are nonlinear functions of LST derived humidity calibrated using in-situ ET measurements. Results are compared to in-situ measurements (average of the root mean squared errors and mean absolute errors for 39 sites are 0.81 mm day −1 and 0.59 mm day −1 , respectively) and the MODIS ET product, MOD16, (mean bias during 2001-2013 is −0.2 mm day −1 ). Although the mean global difference between MOD16 and ET estimates is only 0.2 mm day −1 , local temperature derived vapor pressures are the likely contributor to differences, especially in energy and water limited regions. The intended application for the presented model is simulating ET based on long-term climate forecasts (e.g., using only minimum, maximum and mean daily or monthly temperatures).

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Section: Evaluation Methodsmentioning

confidence: 99%

Estimating Daily Global Evapotranspiration Using Penman–Monteith Equation and Remotely Sensed Land Surface Temperature

Raoufi

Beighley

2017

Remote Sensing

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“…Así, en las últimas décadas se han desarrollado metodologías que estiman la ET a partir de información satelital con diferentes escalas espaciales y temporales. Hu y Jia (2015) sugirieron que los algoritmos más populares se pueden categorizar como: métodos regresivos simplificados (Carlson et al, 1995;Wang y Liang, 2008), métodos del trapecio o triángulo (Jiang e Islam, 2001;Minicapilli et al, 2016), métodos basados en el balance de energía en la superficie (Bastiaanssen et al, 1998;Su, 2002) y métodos tradicionales para estimar ET, como por ejemplo las ecuaciones de Penman-Monteith o Priestley y Taylor (de aquí en adelante ET PT ), combinadas con datos satelitales (Venturini et al, 2008;Girolimetto y Venturini, 2013;Knipper et al, 2017).…”

Section: Introductionunclassified

Estimación de la evapotranspiración real en zonas de llanura mediante productos de humedad de suelo de la misión SMAP

2018

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Resumen: La evapotranspiración (ET) es un proceso importante en el ciclo hidrológico y en el balance energético de la superficie terrestre. En las últimas décadas, la teledetección ha aportado información muy valiosa a la hora de cuantificar la ET. Sin embargo, recién en los últimos años se han desarrollado metodologías que utilizan datos de sensores pasivos de microondas, como los de la misión "Soil Moisture Active Passive" (SMAP). En este trabajo, se presenta una formulación para determinar la evapotranspiración relativa y ET con datos in situ y de microondas. La metodología se basa en una modificación de la ecuación original de Komatsu (2003) en la que se introdujo un parámetro de calibración que representa el efecto de la velocidad del viento y la vegetación y permite estimar la evapotranspiración relativa. Esta nueva ecuación es utilizada en la relación complementaria de Bouchet junto a la ecuación de Priestley y Taylor, para estimar la ET a escala regional. Los resultados obtenidos fueron comparados con datos observados en el área de Southern Great Plains -USA (SGP), indicando que el nuevo modelo estima la ET con un error medio cuadrático (RMSE) de 0,88 mm d -1 y un coeficiente de determinación (R 2 ) superior a 0,8. El modelo calibrado fue aplicado en un período extremadamente húmedo en la Región Pampeana de Argentina arrojando resultados que se aproximaron a tasas potenciales.Palabras clave: evapotranspiración, humedad de suelo, SMAP, evapotranspiración relativa.Abstract: Evapotranspiration (ET) is an important process in the water cycle and in the land-surface energy balance. Over the last decades, remote sensing has provided valuable information to quantify ET. However, methodologies that use data from microwave passive sensors, such as "Soil Moisture Active Passive" (SMAP) mission, have been recently developed. In this work, a formulation to derive the relative evapotranspiration and ET from in situ and microwave data, is presented. The methodology is based on a modification of the original Komatsu (2003) equation by introducing a calibration parameter to represent the wind speed and vegetation effects and estimate the relative evapotranspiration. This new equation was used on the Bouchet's complementary relationship with the Priestley-Taylor's equation, to estimate ET at regional scales. The results were compared with observed data in the Southern Great Plains -USA (SGP) area, indicating that the new model estimated ET with a root mean square error To cite this article: Walker, E., García, G. A., Venturini, V. A. 2018. Actual evapotranspiration estimation over flat lands using soil moisture products from SMAP mission. Revista de Teledetección, 52, 17-26. https://doi.

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“…It consists of soil evaporation and vegetation transpiration from land surfaces into the atmosphere, as well as the evaporation of canopy interception and surface water [2]. ET is fundamental to water balance in natural environments, particularly in semi-arid and arid regions where ecosystem processes are often impacted by the limited availability of water and where water loss is dominated by ET [3,4]. In urban environments, ET plays an essential role in alleviating urban heat island effect and regulating urban climate [5].…”

Section: Introductionmentioning

confidence: 99%

A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data

Zhang

Chen

et al. 2017

Remote Sensing

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Abstract:To date, little attention has been given to remote sensing-based algorithms for inferring urban surface evapotranspiration. A multi-source parallel model based on ASTER data was one of the first examples, but its accuracy can be improved. We therefore present a modified multi-source parallel model in this study, which has made improvements in parameterization and model accuracy. The new features of our modified model are: (1) a characterization of spectrally heterogeneous urban impervious surfaces using two endmembers (high-and low-albedo urban impervious surface), instead of a single endmember, in linear spectral mixture analysis; (2) inclusion of an algorithm for deriving roughness length for each land surface component in order to better approximate to the actual land surface characteristic; and (3) a novel algorithm for calculating the component net radiant flux with a full consideration of the fraction and the characteristics of each land surface component. HJ-1 and ASTER data from the Chinese city of Hefei were used to test our model's result with the China-ASEAN ET product. The sensitivity of the model to vegetation and soil fractions was analyzed and the applicability of the model was tested in another built-up area in the central Chinese city of Wuhan. We conclude that our modified model outperforms the initial multi-source parallel model in accuracy. It can obtain the highest accuracy when applied to vegetation-dominated (vegetation proportion > 50%) areas. Sensitivity analysis shows that vegetation and soil fractions are two important parameters that can affect the ET estimation. Our model is applicable to estimate evapotranspiration in other urban areas.

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Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region

Cited by 23 publications

References 96 publications

Estimating Daily Global Evapotranspiration Using Penman–Monteith Equation and Remotely Sensed Land Surface Temperature

Estimating Daily Global Evapotranspiration Using Penman–Monteith Equation and Remotely Sensed Land Surface Temperature

Estimación de la evapotranspiración real en zonas de llanura mediante productos de humedad de suelo de la misión SMAP

A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data

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