Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test

Sun, Zhigang; Wang, Qinxue; Matsushita, Bunkei; Fukushima, Takehiko; Ouyang, Zhu; Watanabe, Masataka

doi:10.1016/j.jhydrol.2009.07.054

Cited by 55 publications

(64 citation statements)

References 60 publications

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“…However, the uncertainty that is caused by the above factors is likely counteracted by the difference ratio in Eq. (1) or (2) (e.g., (T s À T a )/(T sr À T a )), as shown in our previous study (Qiu et al, 2006;Xiong and Qiu, 2014) and in Sun et al (2009), who used a revised 3T model (Sim-ReSET model). In our study, the net radiation is estimated by using the MODIS LST and air temperature; the uncertainties that are associated with these two variables, particularly the air temperature, may cause errors.…”

Section: Possible Biases In the Proposed Et Productmentioning

confidence: 66%

An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing

Xiong¹,

Zhao

Tian

et al. 2015

Journal of Hydrology

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s u m m a r yAn accurate estimation of evapotranspiration (ET) is crucial to better understand the water budget and improve related studies. Satellite remote sensing provides an unprecedented opportunity to map the spatiotemporal distribution of ET. However, ET values from barren or sparsely vegetated areas in arid regions are often assumed to be zero in typical ET products because of their low values. In addition, separating ET into soil evaporation (E s ) and vegetation transpiration (E c ) is difficult. To address these challenges, we developed an ET product (MOD3T) based on a three-temperature model and thermal remote sensing, specifically Moderate Resolution Imaging Spectroradiometer (MODIS) data. MOD3T has a spatial resolution of 1 km and a temporal resolution of 8 days. All input parameters except air temperature were obtained from MODIS datasets. Validation in two adjacent arid river basins in northwestern China showed that the mean absolute errors (mean absolute percent errors) between the MOD3T and flux tower ET were 0.71 mm d À1 (18.5%) and 0.16 mm d À1 (24.9%) for a densely vegetated area and sparsely vegetated sandy desert, respectively. The error between the MOD3T and water balance ET was 24 mm y À1 (8.1%). The E c /ET or E s /ET of MOD3T was comparable to the observed stable oxygen and hydrogen isotopes. Unlike the MODIS ET (MOD16), MOD3T could not provide continuous ET values (as 70% of the MOD16 area lacked data) but exhibited relatively low uncertainty, particularly in cold seasons. Therefore, MOD3T can provide ET, E s and E c estimates for arid regions within acceptable ranges.

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Section: Possible Biases In the Proposed Et Productmentioning

confidence: 66%

An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing

Xiong¹,

Zhao

Tian

et al. 2015

Journal of Hydrology

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“…Extensive validation and inter-comparison studies of remote sensing-based evapotranspiration models had been conducted using dataset from the Yucheng station [40][41][42][43][44]. Sun [41] line determined by the DDTI is more reasonable.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval

Zhang

et al. 2015

Remote Sensing

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Abstract:With the development of quantitative remote sensing, regional evapotranspiration (ET) modeling based on the feature space has made substantial progress. Among those feature space based evapotranspiration models, accurate determination of the dry/wet lines remains a challenging task. This paper reports the development of a new model, named DDTI (Determination of Dry line by Thermal Inertia), which determines the theoretical dry line based on the relationship between the thermal inertia and the soil moisture. The Simplified Thermal Inertia value estimated in the North China Plain is consistent with the value measured in the laboratory. Three evaluation methods, which are based on the comparison of the locations of the theoretical dry line determined by two models (DDTI model and the heat energy balance model), the comparison of ET results, and the comparison of the evaporative fraction between the estimates from the two models and the in situ measurements, were used to assess the performance of the new model DDTI. The location of the theoretical dry line determined by DDTI is more reasonable than that determined by the heat energy balance model. ET

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“…The main assumption of this method is that the isolines in the VFC/LST trapezoid space is mainly controlled by soil water availability and the isolines within a VI/LST trapezoidal space are used to decompose the composite temperature into component temperatures. This method was recently revised and adopted by Sun et al [46], Long and Singh [47], Yang and Shang [48], Yang et al [25], and Sun [49] to develop two-source models.…”

Section: Introductionmentioning

confidence: 99%

Intercomparison of Three Two-Source Energy Balance Models for Partitioning Evaporation and Transpiration in Semiarid Climates

et al. 2018

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Evaporation (E) and transpiration (T) information is crucial for precise water resources planning and management in arid and semiarid areas. Two-source energy balance (TSEB) methods based on remotely-sensed land surface temperature provide an important modeling approach for estimating evapotranspiration (ET) and its components of E and T. Approaches for accurate decomposition of the component temperature and E/T partitioning from ET based on TSEB requires careful investigation. In this study, three TSEB models are used: (i) the TSEB model with the Priestley-Taylor equation, i.e., TSEB-PT; (ii) the TSEB model using the Penman-Monteith equation, i.e., TSEB-PM, and (iii) the TSEB using component temperatures derived from vegetation fractional cover and land surface temperature (VFC/LST) space, i.e., TSEB-T C -T S . These models are employed to investigate the impact of component temperature decomposition on E/T partitioning accuracy. Validation was conducted in the large-scale campaign of Heihe Watershed Allied Telemetry Experimental Research-Multi-Scale Observation Experiment on Evapotranspiration (HiWATER-MUSOEXE) in the northwest of China, and results showed that root mean square errors (RMSEs) of latent and sensible heat fluxes were respectively lower than 76 W/m 2 and 50 W/m 2 for all three approaches. Based on the measurements from the stable oxygen and hydrogen isotopes system at the Daman superstation, it was found that all three models slightly overestimated the ratio of E/ET. In addition, discrepancies in E/T partitioning among the three models were observed in the kernel experimental area of MUSOEXE. Further intercomparison indicated that different temperature decomposition methods were responsible for the observed discrepancies in E/T partitioning. The iterative procedure adopted by TSEB-PT and TSEB-PM produced higher LE C and lower T C when compared to TSEB-T C -T S . Overall, this work provides valuable insights into understanding the performances of TSEB models with different temperature decomposition mechanisms over semiarid regions.

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Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test

Cited by 55 publications

References 60 publications

An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing

An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing

Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval

Intercomparison of Three Two-Source Energy Balance Models for Partitioning Evaporation and Transpiration in Semiarid Climates

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