Passive microwave and optical index approaches for estimating surface conductance and evapotranspiration in forest ecosystems

Barraza, Verónica Guadalupe Jiménez; Restrepo‐Coupe, Natalia; Huete, Alfredo; Grings, F.; Gorsel, Eva van

doi:10.1016/j.agrformet.2015.06.020

Cited by 34 publications

(18 citation statements)

References 47 publications

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“…Integration across TERN's three scales of observation began in the research community (Ma et al 2013, Barraza et al 2014, Bradford et al 2014, Joiner et al 2014, Mitchell et al 2014, Barraza et al 2015, Broich et al 2015. Examples of multiscale integration across TERN RI include: through remote-sensing calibration/validation activities (e.g.…”

Section: Tern and Global Cooperationmentioning

confidence: 99%

TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change

Cleverly

Eamus

Edwards

et al. 2019

Environ. Res. Lett.

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Section: Tern and Global Cooperationmentioning

confidence: 99%

TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change

Cleverly

Eamus

Edwards

et al. 2019

Environ. Res. Lett.

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“…Carmona y Rivas (2011) estimaron ET para la Provincia de Buenos Aires, Argentina con errores de 0,98 y 1,40 mm d -1 para una parcela de pastura y soja, respectivamente. Barraza et al (2015) obtuvieron valores de RMSE entre 0,60 y 0,86 mm d -1 y R 2 de 0,37 a 0,72 combinando información óptica y de sensores pasivos de microondas. Li et al (2015) incorporaron la HS en un modelo de balance de energía y estimaron la ET diaria con errores de 0,28-0,42 mm d -1 .…”

Section: Discusión De Los Resultadosunclassified

“…Por lo tanto, algunas iniciativas recientes se han orientado en explorar la incorporación de estos datos en los modelos de ET. Barraza et al (2015) propusieron la combinación de IV provenientes de sensores pasivos de microondas y ópticos para calcular ET. Li et al (2015) incorporaron datos de HS provistos por un sensor polarimétrico en banda L a bordo de un VANT, en un modelo de balance de energía.…”

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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“…Barraza et al [23,24] used the combined empirical method of microwave and optical VIs to estimate conductance and LE over forest and savanna ecosystems. They illustrated the superiority of such combinations from multiple sensors for LE estimation.…”

Section: Introductionmentioning

confidence: 99%

“…They illustrated the superiority of such combinations from multiple sensors for LE estimation. However, such an empirical method between canopy conductance and VIs [17][18][19]23,24] is insufficient to reflect the fast dynamics of conductance and LE affected by local environments during short-term periods (e.g., diurnal and daily scale). Furthermore, most of the validations of estimated LE are conducted at the 8-day (or 16-day) time scale and under clear or less cloudy sky since optical VIs are easily contaminated by cloud cover.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Vegetation Latent Heat Flux over Three Forest Sites in ChinaFLUX using Satellite Microwave Vegetation Water Content Index

et al. 2019

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Latent heat flux (LE) and the corresponding water vapor lost from the Earth's surface to the atmosphere, which is called Evapotranspiration (ET), is one of the key processes in the water cycle and energy balance of the global climate system. Satellite remote sensing is the only feasible technique to estimate LE over a large-scale region. While most of the previous satellite LE methods are based on the optical vegetation index (VI), here we propose a microwave-VI (EDVI) based LE algorithm which can work for both day and night time, and under clear or non-raining conditions. This algorithm is totally driven by multiple-sensor satellite products of vegetation water content index, solar radiation, and cloud properties, with some aid from a reanalysis dataset. The satellite inputs and the performance of this algorithm are validated with in situ measurements at three ChinaFLUX forest sites. Our results show that the selected satellite observations can indeed serve as the inputs for the purpose of estimating ET. The instantaneous estimations of LE (LE cal ) from this algorithm show strong positive temporal correlations with the in situ measured LE (LE obs ) with the correlation coefficients (R) of 0.56-0.88 in the study years. The mean bias is kept within 16.0% (23.0 W/m 2 ) across the three sites. At the monthly scale, the correlations between the retrieval and the in situ measurements are further improved to an R of 0.84-0.95 and the bias is less than 14.3%. The validation results also indicate that EDVI-based LE method can produce stable LE cal under different cloudy skies with good accuracy. Being independent of any in situ measurements as inputs, this algorithm shows great potential for estimating ET under both clear and cloudy skies on a global scale for climate study.

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Passive microwave and optical index approaches for estimating surface conductance and evapotranspiration in forest ecosystems

Cited by 34 publications

References 47 publications

TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change

TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change

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

Estimation of Vegetation Latent Heat Flux over Three Forest Sites in ChinaFLUX using Satellite Microwave Vegetation Water Content Index

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