Dual-model approaches for evapotranspiration analyses over homo- and heterogeneous land surface conditions

Byun, Kyuhyun; Liaqat, Umar Waqas; Choi, Minha

doi:10.1016/j.agrformet.2014.07.001

Cited by 55 publications

(39 citation statements)

References 86 publications

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“…The EC systems for flux monitoring such as water vapor or carbon are mounted 19.2 m high in SMK and 10 m high in CFK. The SMK is an open path system that includes three-dimensional sonic anemometers (CSAT3, Campbell Scientific, Logan, UT, USA; RM-81000, RMYoung, Traverse City, MI, USA) and gas analyzers (LI-7500, LI-COR), while the CFK is a closed path system consisting of three-dimensional sonic anemometers (CSAT3) and gas analyzers (EC-155, Campbell Scientific) [43].…”

Section: Study Area and Flux Tower Ets For Sebal Validationmentioning

confidence: 99%

“…To reduce the uncertainties associated with flux tower measurements, Quality Assurance (QC) is conducted with respect to planar fit rotation, Webb-Pearman-Leunung (WPL) and spike detection based on statistical approaches [45]. In addition, gap-filling methods are applied for missing latent heat flux data using the Mean Diurnal Variation (MDV) or calculating alternative ET based on the Food Agriculture Organization (FAO) 56 Penman-Monteith equation [37,43].…”

Section: Study Area and Flux Tower Ets For Sebal Validationmentioning

confidence: 99%

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The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Lee

Kim

2016

Remote Sensing

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Evapotranspiration (ET) is expected to increase by a considerable amount because of the impact of future temperature increase. Nowadays, the daily to seasonal ET maps can be used to provide information for a sustainable and adaptive watershed eco-environment. This study attempts to estimate the spatial ET of South Korea (99,900 km 2 ), located within the latitudes of 33 • 06 N to 43 • 01 N and the longitudes of 124 • 04 E to 131 • 05 E, on a daily basis. The satellite-based image-processing model Surface Energy Balance Algorithms for Land (SEBAL) was adopted and modified to generate the spatial ET data. The SEBAL was calibrated using two years (2012)(2013) of measured ETs by an eddy covariance (EC) flux tower at three locations (two in a mixed forest area and one in a rice paddy area). The primary inputs for the model were land surface temperature/emissivity (LST/E), the Normalized Distribution Vegetation Index (NDVI), albedo (Ab) from a Terra Moderate-resolution Imaging Spectroradiometer (MODIS) satellite, a digital elevation model, and wind speed and solar radiation (Rs) from 76 ground-based weather stations. When LST data were unavailable because of clouds and/or snow, the bias-corrected ground temperature measured at the weather stations was used. The NDVI and Ab were used as the monthly average value to maintain relatively stable values rather than using the original time interval data. The determination coefficient (R 2 ) between SEBAL and the flux tower ET was 0.45-0.54 for the two mixed forest towers and 0.79 for the rice paddy tower reflecting the known characteristics of closed and open space ET estimation. The spatial distribution of SEBAL showed that the spatial ET reflected the geographical characteristics, revealing that the ET of lowland areas was higher than that of highland areas.

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Section: Study Area and Flux Tower Ets For Sebal Validationmentioning

confidence: 99%

Section: Study Area and Flux Tower Ets For Sebal Validationmentioning

confidence: 99%

The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Lee

Kim

2016

Remote Sensing

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“…Previous studies with SEBS [45,46] agree on the important role of roughness parameters in the estimation of ET. They provide at least three main findings: (1) that, for SEBS, the main uncertainty is linked to roughness estimation [47]; (2) that the original formulation of the roughness length for heat transfer tends to overestimate ET with the original use of the soil component of the kB −1 parameter [48]; and (3) that the limited accuracy of height estimate (and subsequently the roughness length for momentum transfer) from RS data is rarely taken into account, with few empirical relationships that tend to diverge for high NDVI values [49].…”

Section: Introductionmentioning

confidence: 84%

Evaluation and Aggregation Properties of Thermal Infra-Red-Based Evapotranspiration Algorithms from 100 m to the km Scale over a Semi-Arid Irrigated Agricultural Area

et al. 2017

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Evapotranspiration (ET) estimates are particularly needed for monitoring the available water of arid lands. Remote sensing data offer the ideal spatial and temporal coverage needed by irrigation water management institutions to deal with increasing pressure on available water. Low spatial resolution (LR) products present strong advantages. They cover larger zones and are acquired more frequently than high spatial resolution (HR) products. Current sensors such as Moderate-Resolution Imaging Spectroradiometer (MODIS) offer a long record history. However, validation of ET products at LR remains a difficult task. In this context, the objective of this study is to evaluate scaling properties of ET fluxes obtained at high and low resolution by two commonly used Energy Balance models, the Surface Energy Balance System (SEBS) and the Two-Source Energy Balance model (TSEB). Both are forced by local meteorological observations and remote sensing data in Visible, Near Infra-Red and Thermal Infra-Red spectral domains. Remotely sensed data stem from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and MODIS sensors, respectively, resampled at 100 m and 1000 m resolutions. The study zone is a square area of 4 by 4 km 2 located in a semi-arid irrigated agricultural zone in the northwest of Mexico. Wheat is the dominant crop, followed by maize and vegetables. The HR ASTER dataset includes seven dates between the 30 December 2007 and 13 May 2008 and the LR MODIS products were retrieved for the same overpasses. ET retrievals from HR ASTER products provided reference ET maps at LR once linearly aggregated at the km scale. The quality of this retrieval was assessed using eddy covariance data at seven locations within the 4 by 4 km 2 square. To investigate the impact of input aggregation, we first compared to the reference dataset all fluxes obtained by running TSEB and SEBS models using ASTER reflectances and radiances previously aggregated at the km scale. Second, we compared to the same reference dataset all fluxes obtained with SEBS and TSEB models using MODIS data. LR fluxes obtained by both models driven by aggregated ASTER input data compared well with the reference simulations and illustrated the relatively good accuracy achieved using aggregated inputs (relative bias of about 3.5% for SEBS and decreased to less than 1% for TSEB). Results also showed that MODIS ET estimates compared well with the reference simulation (relative bias was down to about 2% for Remote Sens. 2017, 9, 1178; doi:10.3390/rs9111178www.mdpi.com/journal/remotesensing Remote Sens. 2017, 9, 1178 2 of 27 SEBS and 3% for TSEB). Discrepancies were mainly related to fraction cover mapping for TSEB and to surface roughness length mapping for SEBS. This was consistent with the sensitivity analysis of those parameters previously published. To improve accuracy from LR estimates obtained using the 1 km surface temperature product provided by MODIS, we tested three statistical and one deterministic aggregation rules for the most sens...

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“…Some sensitivity analyses [38,49] for maximum height have indicated the importance of this parameter through replacement with measured values. This type of empirical method may be suitable for low canopies with short height ranges.…”

Section: Discussionmentioning

confidence: 99%

“…and from inherent errors in meteorological parameters. A few studies [38,[48][49][50] have conducted sensitivity analyses for the SEBS. However, more investigations over heterogeneous forests (for example, forests located in cold and arid areas, as in our study area) are necessary.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains

Tian

Tol

et al. 2015

Remote Sensing

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Abstract:We propose a long-term parameterization scheme for two critical parameters, zero-plane displacement height (d) and aerodynamic roughness length (z 0m ), that we further use in the Surface Energy Balance System (SEBS). A sensitivity analysis of SEBS indicated that these two parameters largely impact the estimated sensible heat and latent heat fluxes. First, we calibrated regression relationships between measured forest vertical parameters (Lorey's height and the frontal area index (FAI)) and forest aboveground biomass (AGB). Next, we derived the interannual Lorey's height and FAI values from our calibrated regression models and corresponding forest AGB dynamics that were converted from interannual carbon fluxes, as simulated from two incorporated ecological models and a 2009 forest basis map These dynamic forest vertical parameters, combined with refined eight-day Global LAnd Surface Satellite (GLASS) LAI products, were applied to estimate the eight-day d, z 0m , and, thus, the heat roughness length (z 0h ). The obtained d, z 0m and z 0h were then used as forcing for the SEBS model in order to simulate long-term forest evapotranspiration (ET) from 2000 to 2012 within the Qilian Mountains (QMs). As compared with MODIS, MOD16 products at the eddy covariance (EC) site, ET estimates from the SEBS agreed much better with EC measurements (R 2 = 0.80 and RMSE = 0.21 mm¨day´1).

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Dual-model approaches for evapotranspiration analyses over homo- and heterogeneous land surface conditions

Cited by 55 publications

References 86 publications

The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Evaluation and Aggregation Properties of Thermal Infra-Red-Based Evapotranspiration Algorithms from 100 m to the km Scale over a Semi-Arid Irrigated Agricultural Area

Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains

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