On the use of satellite thermal data for determining evapotranspiration in partially vegetated areas

Caselles, V.; Sobrino, J. A.; Coll, César

doi:10.1080/01431169208904071

Cited by 36 publications

(20 citation statements)

References 34 publications

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“…This term is related to the sensible heat flux (H ), one of the most difficult variables to determine in the energy balance equation (Bastiaanssen et al, 1998). There are several approaches that use LST directly, such as the parallel resistance model developed by Norman et al (1995), and the one developed by Caselles et al (1992), which is adapted for heterogeneous areas and defined by the following equation:…”

Section: The Evapotranspiration Modelmentioning

confidence: 99%

“…This methodology is derived from the model proposed by Jackson et al (1977), which is based on the energy balance equation and has been used or modified for both natural vegetation and crop areas by different authors (Caselles et al, 1992(Caselles et al, , 1998García et al, 2007;Sánchez et al, 2007Sánchez et al, , 2008aSeguin and Itier, 1983;Vidal and Perrier, 1989). Seguin and Itier (1983) proposed a modified equation that needs net radiation (R n ) and the difference between LST and air temperature at satellite pass (T i ) as input variables:…”

Section: The Evapotranspiration Modelmentioning

confidence: 99%

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Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area

Cristóbal

Poyatos

Ninyerola

et al. 2011

Hydrol. Earth Syst. Sci.

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Abstract. Evapotranspiration monitoring allows us to assess the environmental stress on forest and agricultural ecosystems. Nowadays, Remote Sensing and Geographical Information Systems (GIS) are the main techniques used for calculating evapotranspiration at catchment and regional scales. In this study we present a methodology, based on the energy balance equation (B-method), that combines remote sensing imagery with GIS-based climate modelling to estimate daily evapotranspiration (ET d ) for several dates between 2003 and 2005. The three main variables needed to compute ET d were obtained as follows: (i) Land surface temperature by means of the Landsat-5 TM and Landsat-7 ETM+ thermal band, (ii) air temperature by means of multiple regression analysis and spatial interpolation from meteorological ground stations data at satellite pass, and (iii) net radiation by means of the radiative balance. We calculated ET d using remote sensing data at different spatial and temporal scales (Landsat-7 ETM+, Landsat-5 TM and TERRA/AQUA MODIS, with a spatial resolution of 60, 120 and 1000 m, respectively) and combining three different approaches to calculate the B parameter, which represents an average bulk conductance for the daily-integrated sensible heat flux. We then compared these estimates with sap flow measurements from a Scots pine (Pinus sylvestris L.) stand in a Mediterranean mountain area. This procedure allowed us to better understand the limitations of ET d modelling and how it needs to be improved, especially in heterogeneous forest areas. The method Correspondence to: J. Cristóbal (jordi.cristobal@uab.cat) using Landsat data resulted in a good agreement, R 2 test of 0.89, with a mean RMSE value of about 0.6 mm day −1 and an estimation error of ±30 %. The poor agreement obtained using TERRA/AQUA MODIS, with a mean RMSE value of 1.8 and 2.4 mm day −1 and an estimation error of about ±57 and 50 %, respectively. This reveals that ET d retrieval from coarse resolution remote sensing data is troublesome in these heterogeneous areas, and therefore further research is necessary on this issue. Finally, implementing regional GIS-based climate models as inputs in ET d retrieval have has provided good results, making possible to compute ET d at regional scales.

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Section: The Evapotranspiration Modelmentioning

confidence: 99%

Section: The Evapotranspiration Modelmentioning

confidence: 99%

Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area

Cristóbal

Poyatos

Ninyerola

et al. 2011

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…However, such measurements cannot be directly extended to large-scale ET due to natural heterogeneity of the land surface and complexity of hydrologic processes and because of the need for a variety of surface measurements and land surface parameters [48]. Remotely sensed images have provided a promising source of data for mapping regional-and meso-scale patterns of ET on the Earth's surface and surface temperature helps to establish the direct link between surface radiances and energy balance components [49][50][51][52][53][54][55]. Information embedded in visible, near-infrared, and thermal infrared band can be used to retrieve the land surface temperature (LST), VI, and atmospheric temperature.…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

2014

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Abstract:With the advent of new satellite technology, the radiative energy exchanges between Sun, Earth, and space may now be quantified accurately. Nevertheless, much less is known about the magnitude of the energy flows within the climate system and at the Earth's surface, which cannot be directly measured by satellites. This review surveys the basic theories, observational methods, and different surface energy balance algorithms for estimating evapotranspiration (ET) from landscapes and regions with remotely sensed surface temperatures, and highlights uncertainties and limitations associated with those estimation methods. Although some of these algorithms were built up for specific land covers like irrigation areas only, methods developed for other disciplines like hydrology and meteorology, are also reviewed, where continuous estimates in space and in time are needed. Temporal and spatial scaling issues associated with the use of thermal remote sensing for estimating evapotranspiration are also discussed. A review of these different satellite based remote sensing approaches is presented. The main physical bases and assumptions of these algorithms are also discussed. Some results are shown for the estimation of evapotranspiration on a rice paddy of Chiayi Plain in Taiwan using remote sensing data.

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“…Conventional methods of evapotranspiration and albedo estimation are based on ground measurements which could provide accurate results over a homogenous area surrounding the instruments, but the results are not applicable to large heterogeneous areas (Caselles et al, 1992). The conventional techniques due to point measurements are representative of only of area surrounding the recording devices within which the magnitude of each component of the energy balance has little variation.…”

Section: Introductionmentioning

confidence: 99%

Regional scale evapotranspiration estimation using satellite derived albedo and surface temperature

Kant¹,

Badarinath²

1998

J Indian Soc Remote Sens

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On the use of satellite thermal data for determining evapotranspiration in partially vegetated areas

Cited by 36 publications

References 34 publications

Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area

Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area

Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

Regional scale evapotranspiration estimation using satellite derived albedo and surface temperature

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