Abstract This study aimed to accurately estimate daily wheat evapotranspiration using two remote sensing algorithms, Surface Energy Balance System (SEBS) and Algorithm for Land (SEBAL), in central Khuzestan province during 2019–2020. The results of algorithms were compared with lysimeter (as a direct method), FAO-Penman–Monteith (FAO-PM), temperature-based methods (Hargreaves-Samani Blaney-Crid...

Quantifying actual evapotranspiration (ETa) over natural vegetation is crucial in evaluating the water status of ecosystems and water-use patterns local or regional hydrological basins. Remote sensing-based surface energy balance models have been used extensively for estimating ETa agro-environments; however, application these to still limited. The algorithm land (SEBAL) physical-based model wa...

abstract evapotranspiration (et) is one of the most important components of the water balance, it is also one of the most difficult to measure. despite the importance of et, methods to obtain values of et are still limited. conventional methods are very local, ranging from point to field scale. estimates of the et over the entire area, especially for irrigated areas, are essential, as these can...

Evapotranspiration is one of the most important elements hydrological cycle. Estimation evapotranspiration imperative for effective forest, irrigation, rangeland and water resources management as well to increase yields better crop management. This study aims evaluate effectiveness Surface Energy Balance Algorithm Land (SEBAL) in estimating coefficient corn Mediterranean region Adana province, ...

10 11 The major problem with high spatial resolution satellite images from Landsat 7 is that 12 imagery is not available very often (i.e. every 16 days or longer) and the coverage area is 13 relatively small (swath width 185km), while images of lower spatial resolution from MODIS are 14 available daily and one image covers a relatively large area (swath width 2,330km). This paper 15 considers t...

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 km2), located within the latitudes of 33◦06′N to 43◦01′N and the lo...

Soil moisture is generally regarded as the limiting factors in rangeland production. Although many studies have been conducted to estimate soil moisture in semiarid areas, there is little information on mountainous rangelands in west of Iran. The present study aims to investigate the soil moisture estimation in rangelands as compared to the other land uses over a mountainous area in central Zag...

The Surface Energy Balance Algorithm for Land (SEBAL) is one of several remote sensing-based crop evapotranspiration (ET) models. One advantage that SEBAL has is its minimal requirement for ground-based weather data. However, its downside is that in the presence of advection it may underestimate ET. This is due to the use of a fixed evaporative fraction (EF) for the entire day. The EF value is ...

Remotely sensed images of the Earth’s surface provide information about the spatial distribution of evapotranspiration. Since the spatial resolution of evapotranspiration predictions depends on the sensor type; scaling transfer between images of different scales needs to be investigated. The objectives of this study are first to validate the consistency of SEBAL algorithms for satellite images ...